Merge pull request #46 from Panniantong/migrate-bird-to-xreach
feat: 迁移 Twitter 后端 bird → xreach CLI
This commit is contained in:
commit
15a2961dfa
11 changed files with 155 additions and 170 deletions
20
README.md
20
README.md
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@ -50,7 +50,7 @@ AI Agent 已经能帮你写代码、改文档、管项目——但你让它去
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|---|---|
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| 💰 **完全免费** | 所有工具开源、所有 API 免费。唯一可能花钱的是服务器代理($1/月),本地电脑不需要 |
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| 🔒 **隐私安全** | Cookie 只存在你本地,不上传不外传。代码完全开源,随时可审查 |
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| 🔄 **持续更新** | 底层工具(yt-dlp、bird、Jina Reader 等)定期追踪更新到最新版,你不用自己盯 |
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| 🔄 **持续更新** | 底层工具(yt-dlp、xreach、Jina Reader 等)定期追踪更新到最新版,你不用自己盯 |
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| 🤖 **兼容所有 Agent** | Claude Code、OpenClaw、Cursor、Windsurf……任何能跑命令行的 Agent 都能用 |
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| 🩺 **自带诊断** | `agent-reach doctor` 一条命令告诉你哪个通、哪个不通、怎么修 |
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@ -102,7 +102,7 @@ AI Agent 已经能帮你写代码、改文档、管项目——但你让它去
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<summary>它会做什么?(点击展开)</summary>
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1. **安装 CLI 工具** — `pip install` 装好 `agent-reach` 命令行
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2. **安装系统依赖** — 自动检测并安装 Node.js、gh CLI、mcporter、bird 等
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2. **安装系统依赖** — 自动检测并安装 Node.js、gh CLI、mcporter、xreach 等
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3. **配置搜索引擎** — 通过 MCP 接入 Exa(免费,无需 API Key)
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4. **检测环境** — 判断是本地电脑还是服务器,给出对应的配置建议
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5. **注册 SKILL.md** — 在 Agent 的 skills 目录安装使用指南,以后 Agent 遇到"搜推特"、"看视频"这类需求,会自动知道该调哪个上游工具
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@ -119,7 +119,7 @@ AI Agent 已经能帮你写代码、改文档、管项目——但你让它去
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- "帮我看看这个链接" → `curl https://r.jina.ai/URL` 读任意网页
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- "这个 GitHub 仓库是做什么的" → `gh repo view owner/repo`
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- "这个视频讲了什么" → `yt-dlp --dump-json URL` 提取字幕
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- "帮我看看这条推文" → `bird read URL --json`
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- "帮我看看这条推文" → `xreach tweet URL --json`
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- "订阅这个 RSS" → `feedparser` 解析
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- "搜一下 GitHub 上有什么 LLM 框架" → `gh search repos "LLM framework"`
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@ -135,7 +135,7 @@ AI Agent 已经能帮你写代码、改文档、管项目——但你让它去
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Agent Reach 做的事情很简单:**帮你把这些选型和配置的活儿做完了。**
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安装完成后,Agent 直接调用上游工具(bird CLI、yt-dlp、mcporter、gh CLI 等),不需要经过 Agent Reach 的包装层。
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安装完成后,Agent 直接调用上游工具(xreach CLI、yt-dlp、mcporter、gh CLI 等),不需要经过 Agent Reach 的包装层。
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### 🔌 每个渠道都是可插拔的
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@ -144,7 +144,7 @@ Agent Reach 做的事情很简单:**帮你把这些选型和配置的活儿做
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```
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channels/
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├── web.py → Jina Reader ← 可以换成 Firecrawl、Crawl4AI……
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├── twitter.py → bird ← 可以换成 Nitter、官方 API……
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├── twitter.py → xreach ← 可以换成 Nitter、官方 API……
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├── youtube.py → yt-dlp ← 可以换成 YouTube API、Whisper……
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├── github.py → gh CLI ← 可以换成 REST API、PyGithub……
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├── bilibili.py → yt-dlp ← 可以换成 bilibili-api……
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@ -165,7 +165,7 @@ channels/
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| 场景 | 选型 | 为什么选它 |
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|------|------|-----------|
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| 读网页 | [Jina Reader](https://github.com/jina-ai/reader) | 9.8K Star,免费,不需要 API Key |
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| 读推特 | [bird](https://www.npmjs.com/package/@steipete/bird) | Cookie 登录,免费。官方 API 按量付费(读一条 $0.005) |
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| 读推特 | [xreach](https://www.npmjs.com/package/xreach-cli) | Cookie 登录,免费。官方 API 按量付费(读一条 $0.005) |
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| 视频字幕 + 搜索 | [yt-dlp](https://github.com/yt-dlp/yt-dlp) | 148K Star,YouTube + B站 + 1800 站通吃 |
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| 搜全网 | [Exa](https://exa.ai) via [mcporter](https://github.com/steipete/mcporter) | AI 语义搜索,MCP 接入免 Key |
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| GitHub | [gh CLI](https://cli.github.com) | 官方工具,认证后完整 API 能力 |
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@ -258,13 +258,13 @@ Star 一下,下次需要的时候能找到。⭐
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<details>
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<summary><strong>AI Agent 怎么搜索 Twitter / X?不想付 API 费用</strong></summary>
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Agent Reach 使用 [bird CLI](https://www.npmjs.com/package/@steipete/bird) 通过 Cookie 认证访问 Twitter,完全免费。安装 Agent Reach 后,用 Cookie-Editor 导出你的 Twitter Cookie,运行 `agent-reach configure twitter-cookies "your_cookies"` 即可。之后 Agent 就可以用 `bird search "关键词" --json` 搜索推文了。
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Agent Reach 使用 [xreach CLI](https://www.npmjs.com/package/xreach-cli) 通过 Cookie 认证访问 Twitter,完全免费。安装 Agent Reach 后,用 Cookie-Editor 导出你的 Twitter Cookie,运行 `agent-reach configure twitter-cookies "your_cookies"` 即可。之后 Agent 就可以用 `xreach search "关键词" --json` 搜索推文了。
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</details>
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<details>
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<summary><strong>How to search Twitter/X with AI agent for free (no API)?</strong></summary>
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Agent Reach uses the bird CLI with cookie auth — zero API fees. After installing, export your Twitter cookies with the Cookie-Editor extension, run `agent-reach configure twitter-cookies "your_cookies"`, then your agent can search with `bird search "query" --json`.
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Agent Reach uses the xreach CLI with cookie auth — zero API fees. After installing, export your Twitter cookies with the Cookie-Editor extension, run `agent-reach configure twitter-cookies "your_cookies"`, then your agent can search with `xreach search "query" --json`.
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</details>
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<details>
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@ -300,14 +300,14 @@ Yes! Agent Reach is an installer + configuration tool — any AI coding agent th
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<details>
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<summary><strong>Is this free? Any API costs?</strong></summary>
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100% free. All backends are open-source tools (bird CLI, yt-dlp, Jina Reader, Exa, etc.) that don't require paid API keys. The only optional cost is a residential proxy (~$1/month) if you need Reddit/Bilibili access from a server.
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100% free. All backends are open-source tools (xreach CLI, yt-dlp, Jina Reader, Exa, etc.) that don't require paid API keys. The only optional cost is a residential proxy (~$1/month) if you need Reddit/Bilibili access from a server.
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</details>
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---
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## 致谢
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[Jina Reader](https://github.com/jina-ai/reader) · [yt-dlp](https://github.com/yt-dlp/yt-dlp) · [bird](https://www.npmjs.com/package/@steipete/bird) · [Exa](https://exa.ai) · [mcporter](https://github.com/steipete/mcporter) · [feedparser](https://github.com/kurtmckee/feedparser) · [xiaohongshu-mcp](https://github.com/xpzouying/xiaohongshu-mcp) · [douyin-mcp-server](https://github.com/yzfly/douyin-mcp-server) · [linkedin-scraper-mcp](https://github.com/stickerdaniel/linkedin-mcp-server) · [mcp-bosszp](https://github.com/mucsbr/mcp-bosszp)
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[Jina Reader](https://github.com/jina-ai/reader) · [yt-dlp](https://github.com/yt-dlp/yt-dlp) · [xreach](https://www.npmjs.com/package/xreach-cli) · [Exa](https://exa.ai) · [mcporter](https://github.com/steipete/mcporter) · [feedparser](https://github.com/kurtmckee/feedparser) · [xiaohongshu-mcp](https://github.com/xpzouying/xiaohongshu-mcp) · [douyin-mcp-server](https://github.com/yzfly/douyin-mcp-server) · [linkedin-scraper-mcp](https://github.com/stickerdaniel/linkedin-mcp-server) · [mcp-bosszp](https://github.com/mucsbr/mcp-bosszp)
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## License
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@ -1,5 +1,5 @@
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# -*- coding: utf-8 -*-
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"""Twitter/X — check if bird CLI is available."""
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"""Twitter/X — check if xreach CLI is available."""
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import shutil
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import subprocess
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@ -9,7 +9,7 @@ from .base import Channel
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class TwitterChannel(Channel):
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name = "twitter"
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description = "Twitter/X 推文"
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backends = ["bird CLI"]
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backends = ["xreach CLI"]
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tier = 1
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def can_handle(self, url: str) -> bool:
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@ -18,21 +18,21 @@ class TwitterChannel(Channel):
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return "x.com" in d or "twitter.com" in d
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def check(self, config=None):
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bird = shutil.which("bird") or shutil.which("birdx")
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if not bird:
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xreach = shutil.which("xreach")
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if not xreach:
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return "warn", (
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"bird CLI 未安装。搜索可通过 Exa 替代。安装:\n"
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" npm install -g @steipete/bird"
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"xreach CLI 未安装。搜索可通过 Exa 替代。安装:\n"
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" npm install -g xreach-cli"
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)
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try:
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r = subprocess.run(
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[bird, "whoami"], capture_output=True, text=True, timeout=10
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[xreach, "auth", "check"], capture_output=True, text=True, timeout=10
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)
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if r.returncode == 0:
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return "ok", "完整可用(读取、搜索推文)"
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return "warn", (
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"bird CLI 已安装但未配置 Cookie。运行:\n"
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"xreach CLI 已安装但未配置 Cookie。运行:\n"
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" agent-reach configure twitter-cookies \"auth_token=xxx; ct0=yyy\""
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)
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except Exception:
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return "warn", "bird CLI 已安装但连接失败"
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return "warn", "xreach CLI 已安装但连接失败"
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@ -387,24 +387,24 @@ def _install_system_deps():
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except Exception:
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print(" ⚠️ Node.js install failed. Try: apt install nodejs npm, or nvm install 22, or download from https://nodejs.org")
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# ── bird CLI (for Twitter search) ──
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if shutil.which("bird") or shutil.which("birdx"):
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print(" ✅ bird CLI already installed")
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# ── xreach CLI (for Twitter search) ──
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if shutil.which("xreach"):
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print(" ✅ xreach CLI already installed")
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else:
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if shutil.which("npm"):
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try:
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subprocess.run(
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["npm", "install", "-g", "@steipete/bird"],
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["npm", "install", "-g", "xreach-cli"],
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capture_output=True, text=True, timeout=120,
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)
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if shutil.which("bird"):
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print(" ✅ bird CLI installed (Twitter search + timeline)")
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if shutil.which("xreach"):
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print(" ✅ xreach CLI installed (Twitter search + timeline)")
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else:
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print(" ⬜ bird CLI install failed (optional — Twitter reading still works via Jina)")
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print(" ⬜ xreach CLI install failed (optional — Twitter reading still works via Jina)")
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except Exception:
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print(" ⬜ bird CLI install failed (optional — Twitter reading still works via Jina)")
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print(" ⬜ xreach CLI install failed (optional — Twitter reading still works via Jina)")
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else:
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print(" ⬜ bird CLI requires Node.js (optional — Twitter reading still works via Jina)")
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print(" ⬜ xreach CLI requires Node.js (optional — Twitter reading still works via Jina)")
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# ── undici (proxy support for Node.js fetch) ──
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if shutil.which("npm"):
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@ -417,7 +417,7 @@ def _install_system_deps():
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subprocess.run(["npm", "install", "-g", "undici"], capture_output=True, text=True, timeout=60)
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print(" ✅ undici installed (Node.js proxy support)")
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except Exception:
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print(" ⬜ undici install failed (optional — bird may not work behind proxies)")
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print(" ⬜ undici install failed (optional — xreach may not work behind proxies)")
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def _install_system_deps_safe():
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@ -429,7 +429,7 @@ def _install_system_deps_safe():
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deps = [
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("gh", ["gh"], "GitHub CLI", "https://cli.github.com — or: apt install gh / brew install gh"),
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("node", ["node", "npm"], "Node.js", "https://nodejs.org — or: apt install nodejs npm"),
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("bird", ["bird", "birdx"], "bird CLI (Twitter)", "npm install -g @steipete/bird"),
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("xreach", ["xreach"], "xreach CLI (Twitter)", "npm install -g xreach-cli"),
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]
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missing = []
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@ -459,7 +459,7 @@ def _install_system_deps_dryrun():
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checks = [
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("gh CLI", ["gh"], "apt install gh / brew install gh"),
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("Node.js", ["node"], "curl NodeSource setup | bash + apt install nodejs"),
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("bird CLI", ["bird", "birdx"], "npm install -g @steipete/bird"),
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("xreach CLI", ["xreach"], "npm install -g xreach-cli"),
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]
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for label, binaries, method in checks:
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@ -690,16 +690,16 @@ def _cmd_configure(args):
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print("Testing Twitter access...", end=" ")
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try:
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import subprocess
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bird = shutil.which("bird") or shutil.which("birdx")
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if not bird:
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print("⚠️ bird CLI not installed. Run: npm install -g @steipete/bird")
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xreach = shutil.which("xreach")
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if not xreach:
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print("⚠️ xreach CLI not installed. Run: npm install -g xreach-cli")
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else:
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import os
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env = os.environ.copy()
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env["AUTH_TOKEN"] = auth_token
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env["CT0"] = ct0
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result = subprocess.run(
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[bird, "search", "test", "-n", "1"],
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[xreach, "search", "test", "-n", "1"],
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capture_output=True, text=True, timeout=15,
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env=env,
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)
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@ -823,7 +823,7 @@ def _cmd_uninstall(args):
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print()
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print("Optional: remove tools installed by Agent Reach:")
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print(" npm uninstall -g mcporter")
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print(" npm uninstall -g @steipete/bird")
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print(" npm uninstall -g xreach-cli")
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print(" npm uninstall -g undici")
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@ -22,7 +22,7 @@ class Config:
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FEATURE_REQUIREMENTS = {
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"exa_search": ["exa_api_key"],
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"reddit_proxy": ["reddit_proxy"],
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"twitter_bird": ["twitter_auth_token", "twitter_ct0"],
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"twitter_xreach": ["twitter_auth_token", "twitter_ct0"],
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"groq_whisper": ["groq_api_key"],
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"github_token": ["github_token"],
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}
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|
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@ -3,7 +3,7 @@
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AgentReach — installer, doctor, and configuration tool.
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Agent Reach helps AI agents install and configure upstream platform tools
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(bird CLI, yt-dlp, mcporter, gh CLI, etc.). After installation, agents
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(xreach CLI, yt-dlp, mcporter, gh CLI, etc.). After installation, agents
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call the upstream tools directly — no wrapper layer needed.
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Usage:
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@ -1,67 +1,77 @@
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# Twitter 高级功能配置指南(bird CLI)
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# Twitter 高级功能配置指南(xreach CLI)
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## 功能说明
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基础 Twitter 功能(搜索+读单条推文)无需配置,开箱即用。
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Twitter 基础阅读通过 Jina Reader 免费可用,无需配置。
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高级功能需要 bird CLI:
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- 查看用户时间线
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- 深度搜索(更精确、更多结果)
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- 读取完整线程(thread)
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- 查看关注列表推文
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高级功能需要 xreach CLI:
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bird 是免费开源工具(npm 包 @steipete/bird),但需要你的 Twitter 账号 cookie。
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- 搜索推文(`xreach search`)
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- 读取完整推文和对话链(`xreach tweet`、`xreach thread`)
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- 用户时间线(`xreach tweets`)
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## Agent 可自动完成的步骤
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xreach 是免费开源工具(npm 包 xreach-cli),但需要你的 Twitter 账号 cookie。
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## 快速配置
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1. 检查 xreach 是否安装:
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1. 检查 bird 是否安装:
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```bash
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which bird && echo "installed" || echo "not installed"
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which xreach && echo "installed" || echo "not installed"
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```
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2. 安装 bird:
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2. 安装 xreach:
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```bash
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npm install -g @steipete/bird
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npm install -g xreach-cli
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```
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3. 测试(需要先配置 cookie):
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3. 测试是否配置好:
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```bash
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AUTH_TOKEN="xxx" CT0="yyy" bird search "test" -n 1
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AUTH_TOKEN="xxx" CT0="yyy" xreach search "test" -n 1
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```
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4. 用 agent-reach 配置 cookie(推荐):
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## 获取 Cookie(Cookie-Editor 方式,推荐)
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1. 安装 [Cookie-Editor](https://cookie-editor.com/) 浏览器扩展
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2. 登录 x.com
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3. 点击 Cookie-Editor 图标 → Export → 复制全部
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4. 运行配置命令:
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```bash
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agent-reach configure twitter-cookies "auth_token=xxx; ct0=yyy"
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agent-reach configure twitter-cookies "粘贴的 cookie JSON"
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```
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||||
## 需要用户手动做的步骤
|
||||
这会自动提取 `auth_token` 和 `ct0`,并写入环境变量。
|
||||
|
||||
请告诉用户:
|
||||
## 手动设置 Cookie
|
||||
|
||||
> Twitter 高级功能需要你的 Twitter 账号 cookie(完全免费)。
|
||||
>
|
||||
> **最简单的方式:**
|
||||
> 1. 安装 Chrome 插件 [Cookie-Editor](https://chromewebstore.google.com/detail/cookie-editor/hlkenndednhfkekhgcdicdfddnkalmdm)
|
||||
> 2. 打开 https://x.com 并确保已登录
|
||||
> 3. 点击 Cookie-Editor 插件图标 → Export → Header String
|
||||
> 4. 把导出的内容发给我
|
||||
>
|
||||
> **手动方式:**
|
||||
> 1. 用 Chrome 打开 https://x.com 并确保你已登录
|
||||
> 2. 按 **F12** 打开开发者工具(Mac 按 Cmd+Option+I)
|
||||
> 3. 点击顶部的 **Application**(应用)标签
|
||||
> 4. 左侧找到 **Cookies** → **https://x.com**
|
||||
> 5. 在列表中找到以下两个值,双击复制:
|
||||
> - **auth_token** — 一串字母数字
|
||||
> - **ct0** — 一串字母数字
|
||||
> 6. 把这两个值发给我
|
||||
>
|
||||
> ⚠️ 这些 cookie 让我能以你的身份读取推文(只读)。我不会发推、点赞或做任何操作。
|
||||
> ⚠️ cookie 大约 1-3 个月会过期,届时需要重新导出。
|
||||
如果你已经知道 `auth_token` 和 `ct0`:
|
||||
|
||||
## Agent 收到 cookie 后的操作
|
||||
1. 安装 xreach(如果没装):`npm install -g xreach-cli`
|
||||
|
||||
1. 安装 bird(如果没装):`npm install -g @steipete/bird`
|
||||
2. 配置 cookie:`agent-reach configure twitter-cookies "粘贴的内容"`
|
||||
3. 测试:运行 `agent-reach doctor` 确认 Twitter 状态
|
||||
4. 反馈:"✅ Twitter 高级功能已开启!现在可以搜索推文、查看时间线了。"
|
||||
5. 如果失败:"❌ Cookie 无效或已过期,请重新导出。"
|
||||
2. 设置环境变量:
|
||||
|
||||
```bash
|
||||
export AUTH_TOKEN="你的auth_token"
|
||||
export CT0="你的ct0"
|
||||
```
|
||||
|
||||
3. 测试:
|
||||
|
||||
```bash
|
||||
xreach search "test" --auth-token "$AUTH_TOKEN" --ct0 "$CT0" -n 1
|
||||
```
|
||||
|
||||
## 代理配置
|
||||
|
||||
> xreach CLI 内置代理支持,通过 `--proxy` 参数传入:
|
||||
|
||||
```bash
|
||||
xreach search "test" --auth-token "$AUTH_TOKEN" --ct0 "$CT0" --proxy "http://user:pass@host:port"
|
||||
```
|
||||
|
||||
也支持代理轮换文件:
|
||||
|
||||
```bash
|
||||
xreach search "test" --auth-token "$AUTH_TOKEN" --ct0 "$CT0" --proxy-file proxies.txt
|
||||
```
|
||||
|
|
|
|||
|
|
@ -5,7 +5,7 @@ Agent Reach MCP Server — expose doctor/status as MCP tool.
|
|||
Run: python -m agent_reach.integrations.mcp_server
|
||||
|
||||
Agent Reach is an installer + doctor tool. For actual reading/searching,
|
||||
agents should call upstream tools directly (bird, yt-dlp, mcporter, etc.).
|
||||
agents should call upstream tools directly (xreach, yt-dlp, mcporter, etc.).
|
||||
"""
|
||||
|
||||
import asyncio
|
||||
|
|
|
|||
|
|
@ -23,7 +23,7 @@ agent-reach install --env=auto
|
|||
agent-reach doctor
|
||||
```
|
||||
|
||||
`install` auto-detects your environment and installs core dependencies (Node.js, mcporter, bird CLI, gh CLI, yt-dlp, feedparser). Run `doctor` to see what's active.
|
||||
`install` auto-detects your environment and installs core dependencies (Node.js, mcporter, xreach CLI, gh CLI, yt-dlp, feedparser). Run `doctor` to see what's active.
|
||||
|
||||
## Management
|
||||
|
||||
|
|
@ -78,17 +78,17 @@ When a user asks to configure/enable any channel:
|
|||
|
||||
After `agent-reach install`, call the upstream tools directly. No need for `agent-reach read` or `agent-reach search`.
|
||||
|
||||
### Twitter/X (bird CLI)
|
||||
### Twitter/X (xreach CLI)
|
||||
|
||||
```bash
|
||||
# Search tweets
|
||||
bird search "query" --json -n 10
|
||||
xreach search "query" --json -n 10
|
||||
|
||||
# Read a specific tweet
|
||||
bird read https://x.com/user/status/123 --json
|
||||
xreach tweet https://x.com/user/status/123 --json
|
||||
|
||||
# Read a user's timeline
|
||||
bird timeline @username --json -n 20
|
||||
xreach tweets @username --json -n 20
|
||||
```
|
||||
|
||||
### YouTube (yt-dlp)
|
||||
|
|
@ -248,7 +248,7 @@ for e in d.entries[:5]:
|
|||
|
||||
### Twitter "fetch failed"
|
||||
|
||||
bird CLI uses Node.js native `fetch()`, which doesn't respect `HTTP_PROXY`. Solutions:
|
||||
xreach CLI uses Node.js `undici`, which doesn't respect `HTTP_PROXY`. Solutions:
|
||||
1. Ensure `undici` is installed: `npm install -g undici`
|
||||
2. Configure proxy: `agent-reach configure proxy http://user:pass@ip:port`
|
||||
3. If still failing, use transparent proxy (Clash TUN, Proxifier)
|
||||
|
|
|
|||
|
|
@ -45,7 +45,7 @@ Copy that to your Agent. A few minutes later, it can read tweets, search Reddit,
|
|||
|---|---|
|
||||
| 💰 **Completely free** | All tools are open source, all APIs are free. The only possible cost is a server proxy ($1/month) — local computers don't need one |
|
||||
| 🔒 **Privacy safe** | Cookies stay local. Never uploaded. Fully open source — audit anytime |
|
||||
| 🔄 **Kept up to date** | Upstream tools (yt-dlp, bird, Jina Reader, etc.) are tracked and updated regularly |
|
||||
| 🔄 **Kept up to date** | Upstream tools (yt-dlp, xreach, Jina Reader, etc.) are tracked and updated regularly |
|
||||
| 🤖 **Works with any Agent** | Claude Code, OpenClaw, Cursor, Windsurf… any Agent that can run commands |
|
||||
| 🩺 **Built-in diagnostics** | `agent-reach doctor` — one command shows what works, what doesn't, and how to fix it |
|
||||
|
||||
|
|
@ -56,7 +56,7 @@ Copy that to your Agent. A few minutes later, it can read tweets, search Reddit,
|
|||
| Platform | Capabilities | Setup | Notes |
|
||||
|----------|-------------|:-----:|-------|
|
||||
| 🌐 **Web** | Read | Zero config | Any URL → clean Markdown ([Jina Reader](https://github.com/jina-ai/reader) ⭐9.8K) |
|
||||
| 🐦 **Twitter/X** | Read · Search | Zero config / Cookie | Single tweets readable out of the box. Cookie unlocks search, timeline, posting ([bird](https://github.com/steipete/bird)) |
|
||||
| 🐦 **Twitter/X** | Read · Search | Zero config / Cookie | Single tweets readable out of the box. Cookie unlocks search, timeline, posting ([xreach](https://www.npmjs.com/package/xreach-cli)) |
|
||||
| 📕 **XiaoHongShu** | Read · Search · **Post · Comment · Like** | mcporter | Via [xiaohongshu-mcp](https://github.com/user/xiaohongshu-mcp) internal API, install and go |
|
||||
| 🎵 **Douyin** | Video parsing · Watermark-free download | mcporter | Via [douyin-mcp-server](https://github.com/yzfly/douyin-mcp-server), no login needed |
|
||||
| 💼 **LinkedIn** | Jina Reader (public pages) | Full profiles, companies, job search | Tell your Agent "help me set up LinkedIn" |
|
||||
|
|
@ -112,7 +112,7 @@ No configuration needed — just tell your Agent:
|
|||
- "Read this link" → `curl https://r.jina.ai/URL` for any web page
|
||||
- "What's this GitHub repo about?" → `gh repo view owner/repo`
|
||||
- "What does this video cover?" → `yt-dlp --dump-json URL` for subtitles
|
||||
- "Read this tweet" → `bird read URL --json`
|
||||
- "Read this tweet" → `xreach tweet URL --json`
|
||||
- "Subscribe to this RSS" → `feedparser` to parse feeds
|
||||
- "Search GitHub for LLM frameworks" → `gh search repos "LLM framework"`
|
||||
|
||||
|
|
@ -172,7 +172,7 @@ Every time you spin up a new Agent, you spend time finding tools, installing dep
|
|||
|
||||
Agent Reach does one simple thing: **it makes those tool selection and configuration decisions for you.**
|
||||
|
||||
After installation, your Agent calls the upstream tools directly (bird CLI, yt-dlp, mcporter, gh CLI, etc.) — no wrapper layer in between.
|
||||
After installation, your Agent calls the upstream tools directly (xreach CLI, yt-dlp, mcporter, gh CLI, etc.) — no wrapper layer in between.
|
||||
|
||||
### 🔌 Every Channel is Pluggable
|
||||
|
||||
|
|
@ -181,7 +181,7 @@ Each platform maps to an upstream tool. **Don't like one? Swap it out.**
|
|||
```
|
||||
channels/
|
||||
├── web.py → Jina Reader ← swap to Firecrawl, Crawl4AI…
|
||||
├── twitter.py → bird ← swap to Nitter, official API…
|
||||
├── twitter.py → xreach ← swap to Nitter, official API…
|
||||
├── youtube.py → yt-dlp ← swap to YouTube API, Whisper…
|
||||
├── github.py → gh CLI ← swap to REST API, PyGithub…
|
||||
├── bilibili.py → yt-dlp ← swap to bilibili-api…
|
||||
|
|
@ -202,7 +202,7 @@ Each channel file only checks whether its upstream tool is installed and working
|
|||
| Scenario | Tool | Why |
|
||||
|----------|------|-----|
|
||||
| Read web pages | [Jina Reader](https://github.com/jina-ai/reader) | 9.8K stars, free, no API key needed |
|
||||
| Read tweets | [bird](https://github.com/steipete/bird) | Cookie auth, free. Official API is pay-per-use ($0.005/post read) |
|
||||
| Read tweets | [xreach](https://www.npmjs.com/package/xreach-cli) | Cookie auth, free. Official API is pay-per-use ($0.005/post read) |
|
||||
| Video subtitles + search | [yt-dlp](https://github.com/yt-dlp/yt-dlp) | 148K stars, YouTube + Bilibili + 1800 sites |
|
||||
| Search the web | [Exa](https://exa.ai) via [mcporter](https://github.com/nicepkg/mcporter) | AI semantic search, MCP integration, no API key |
|
||||
| GitHub | [gh CLI](https://cli.github.com) | Official tool, full API after auth |
|
||||
|
|
@ -233,7 +233,7 @@ This project was entirely vibe-coded 🎸 There might be rough edges here and th
|
|||
<details>
|
||||
<summary><strong>How to search Twitter/X with AI agent without paying for API?</strong></summary>
|
||||
|
||||
Agent Reach uses the [bird CLI](https://www.npmjs.com/package/@steipete/bird) with cookie-based authentication — completely free, no Twitter API subscription needed. After installing Agent Reach, export your Twitter cookies using the Cookie-Editor Chrome extension, run `agent-reach configure twitter-cookies "your_cookies"`, and your agent can search with `bird search "query" --json`.
|
||||
Agent Reach uses the [xreach CLI](https://www.npmjs.com/package/xreach-cli) with cookie-based authentication — completely free, no Twitter API subscription needed. After installing Agent Reach, export your Twitter cookies using the Cookie-Editor Chrome extension, run `agent-reach configure twitter-cookies "your_cookies"`, and your agent can search with `xreach search "query" --json`.
|
||||
</details>
|
||||
|
||||
<details>
|
||||
|
|
@ -257,13 +257,13 @@ Yes! Agent Reach is an installer + configuration tool. Any AI coding agent that
|
|||
<details>
|
||||
<summary><strong>Is Agent Reach free? Any API costs?</strong></summary>
|
||||
|
||||
100% free and open source. All backends (bird CLI, yt-dlp, Jina Reader, Exa) are free tools that don't require paid API keys. The only optional cost is a residential proxy (~$1/month) if you need Reddit/Bilibili access from a server.
|
||||
100% free and open source. All backends (xreach CLI, yt-dlp, Jina Reader, Exa) are free tools that don't require paid API keys. The only optional cost is a residential proxy (~$1/month) if you need Reddit/Bilibili access from a server.
|
||||
</details>
|
||||
|
||||
<details>
|
||||
<summary><strong>Free alternative to Twitter API for web scraping?</strong></summary>
|
||||
|
||||
Agent Reach uses bird CLI which accesses Twitter via cookie auth — same as your browser session. No API fees, no rate limit tiers, no developer account needed. Supports search, read tweets, read profiles, and timelines.
|
||||
Agent Reach uses xreach CLI which accesses Twitter via cookie auth — same as your browser session. No API fees, no rate limit tiers, no developer account needed. Supports search, read tweets, read profiles, and timelines.
|
||||
</details>
|
||||
|
||||
<details>
|
||||
|
|
@ -282,7 +282,7 @@ Install douyin-mcp-server, then your agent can use `mcporter call 'douyin.parse_
|
|||
|
||||
## Credits
|
||||
|
||||
[Jina Reader](https://github.com/jina-ai/reader) · [yt-dlp](https://github.com/yt-dlp/yt-dlp) · [bird](https://github.com/steipete/bird) · [Exa](https://exa.ai) · [feedparser](https://github.com/kurtmckee/feedparser) · [douyin-mcp-server](https://github.com/yzfly/douyin-mcp-server) · [linkedin-scraper-mcp](https://github.com/stickerdaniel/linkedin-mcp-server) · [mcp-bosszp](https://github.com/mucsbr/mcp-bosszp)
|
||||
[Jina Reader](https://github.com/jina-ai/reader) · [yt-dlp](https://github.com/yt-dlp/yt-dlp) · [xreach](https://www.npmjs.com/package/xreach-cli) · [Exa](https://exa.ai) · [feedparser](https://github.com/kurtmckee/feedparser) · [douyin-mcp-server](https://github.com/yzfly/douyin-mcp-server) · [linkedin-scraper-mcp](https://github.com/stickerdaniel/linkedin-mcp-server) · [mcp-bosszp](https://github.com/mucsbr/mcp-bosszp)
|
||||
|
||||
## License
|
||||
|
||||
|
|
|
|||
|
|
@ -20,7 +20,7 @@ Copy this to your AI Agent:
|
|||
|
||||
### Goal
|
||||
|
||||
Install Agent Reach and all upstream tools so your user's agent has full internet access. After installation, you'll use the upstream tools directly (bird CLI, yt-dlp, mcporter, gh CLI, etc.) — Agent Reach is just the installer and health checker.
|
||||
Install Agent Reach and all upstream tools so your user's agent has full internet access. After installation, you'll use the upstream tools directly (xreach CLI, yt-dlp, mcporter, gh CLI, etc.) — Agent Reach is just the installer and health checker.
|
||||
|
||||
### ⚠️ Boundaries
|
||||
|
||||
|
|
@ -41,7 +41,7 @@ pip install https://github.com/Panniantong/agent-reach/archive/main.zip
|
|||
agent-reach install --env=auto
|
||||
```
|
||||
|
||||
This auto-installs system dependencies (gh CLI, Node.js, mcporter, bird), configures Exa search, detects environment, and tests all channels.
|
||||
This auto-installs system dependencies (gh CLI, Node.js, mcporter, xreach), configures Exa search, detects environment, and tests all channels.
|
||||
|
||||
**Safe mode (no automatic system changes):**
|
||||
|
||||
|
|
@ -103,9 +103,9 @@ agent-reach configure twitter-cookies "PASTED_STRING"
|
|||
|
||||
> **代理说明(中国大陆等需要翻墙的网络环境):**
|
||||
>
|
||||
> bird CLI 使用 Node.js 原生 `fetch()`,默认不走系统代理(`HTTP_PROXY`/`HTTPS_PROXY`)。
|
||||
> xreach CLI 使用 Node.js 原生 `fetch()`,默认不走系统代理(`HTTP_PROXY`/`HTTPS_PROXY`)。
|
||||
> Agent Reach 已内置解决方案:安装时会自动安装 `undici`(`npm install -g undici`),
|
||||
> 运行 bird 时自动注入 `EnvHttpProxyAgent`,让 fetch 走用户配置的代理。
|
||||
> 运行 xreach 时自动注入 `EnvHttpProxyAgent`,让 fetch 走用户配置的代理。
|
||||
>
|
||||
> **你(Agent)需要做的:**
|
||||
> 1. 确认 `undici` 已全局安装:`npm list -g undici`,没有就装:`npm install -g undici`
|
||||
|
|
@ -277,7 +277,7 @@ After installation, use upstream tools directly. See SKILL.md for the full comma
|
|||
|
||||
| Platform | Upstream Tool | Example |
|
||||
|----------|--------------|---------|
|
||||
| Twitter/X | `bird` | `bird search "query" --json` |
|
||||
| Twitter/X | `xreach` | `xreach search "query" --json` |
|
||||
| YouTube | `yt-dlp` | `yt-dlp --dump-json URL` |
|
||||
| Bilibili | `yt-dlp` | `yt-dlp --dump-json URL` |
|
||||
| Reddit | `curl` | `curl -s "https://reddit.com/r/xxx.json"` |
|
||||
|
|
|
|||
|
|
@ -1,69 +1,44 @@
|
|||
# Troubleshooting / 常见问题
|
||||
# 常见问题排查
|
||||
|
||||
## Twitter/X: bird CLI "fetch failed"
|
||||
## Twitter/X: xreach CLI "fetch failed"
|
||||
|
||||
**症状:** `bird whoami` 或 `bird search` 返回 "fetch failed"
|
||||
**症状:** `xreach search` 或其他命令返回 "fetch failed"
|
||||
|
||||
**原因:** bird CLI 使用 Node.js 原生 `fetch()` 发请求,而 Node.js 的 fetch **不走系统代理**(不读取 `HTTP_PROXY`/`HTTPS_PROXY` 环境变量)。如果你的网络环境需要代理才能访问 x.com,bird 就连不上。
|
||||
|
||||
**解决方案(按推荐顺序):**
|
||||
|
||||
### 方案 1:使用透明代理 / TUN 模式(推荐)
|
||||
|
||||
让代理工具接管所有网络流量,这样 bird 的 fetch 也会走代理:
|
||||
|
||||
- **Clash Verge / Clash for Windows:** 开启 TUN 模式或系统代理
|
||||
- **Proxifier(Windows):** 添加规则让 Node.js 进程走代理
|
||||
- **macOS:** 在 Surge/ClashX Pro 中开启增强模式
|
||||
|
||||
### 方案 2:验证 Cookie 有效性
|
||||
|
||||
确认 Cookie 没过期:
|
||||
|
||||
1. 在浏览器里正常登录 x.com
|
||||
2. 用 [Cookie-Editor](https://chromewebstore.google.com/detail/cookie-editor/hlkenndednhfkekhgcdicdfddnkalmdm) 重新导出 Header String
|
||||
3. 重新配置:`agent-reach configure twitter-cookies "新的Cookie"`
|
||||
|
||||
### 方案 3:不用 bird,用 Exa 搜索替代
|
||||
|
||||
bird 不可用时,可以直接用 Exa 搜索 Twitter 内容:
|
||||
|
||||
```bash
|
||||
mcporter call 'exa.web_search_exa(query: "site:x.com query", numResults: 10)'
|
||||
```
|
||||
|
||||
### 方案 4:配置 Node.js 全局代理(高级)
|
||||
|
||||
安装 `global-agent` 让 Node.js 的 fetch 走代理:
|
||||
|
||||
```bash
|
||||
npm install -g global-agent
|
||||
```
|
||||
|
||||
然后在运行 bird 前设置环境变量:
|
||||
|
||||
```bash
|
||||
# Linux / macOS
|
||||
export GLOBAL_AGENT_HTTP_PROXY=http://127.0.0.1:7890
|
||||
export NODE_OPTIONS="--require global-agent/bootstrap"
|
||||
bird search "test"
|
||||
|
||||
# Windows (PowerShell)
|
||||
$env:GLOBAL_AGENT_HTTP_PROXY = "http://127.0.0.1:7890"
|
||||
$env:NODE_OPTIONS = "--require global-agent/bootstrap"
|
||||
bird search "test"
|
||||
```
|
||||
|
||||
> ⚠️ 注意:这个方案需要每次运行 bird 前都设置环境变量,不太方便。推荐用方案 1。
|
||||
|
||||
---
|
||||
|
||||
## Boss直聘: "访问行为异常"
|
||||
|
||||
**症状:** mcp-bosszp 登录成功,但 API 请求返回"您的访问行为异常"
|
||||
|
||||
**原因:** Boss直聘的反爬机制会检测请求指纹(不只是 IP),Python requests 库的特征与真实浏览器不同。
|
||||
**原因:** xreach CLI 使用 Node.js 的 `undici` 库发请求。如果你的网络环境需要代理才能访问 x.com,需要明确传入代理参数。
|
||||
|
||||
**解决方案:**
|
||||
- **本地电脑:** 正常使用,一般不会被拦
|
||||
- **服务器:** 使用 Jina Reader 读取职位页面 + Exa 搜索职位信息作为替代
|
||||
|
||||
### 方案 1:使用 --proxy 参数
|
||||
|
||||
```bash
|
||||
xreach search "test" --auth-token "$AUTH_TOKEN" --ct0 "$CT0" --proxy "http://user:pass@host:port"
|
||||
```
|
||||
|
||||
### 方案 2:使用全局代理工具
|
||||
|
||||
让代理工具接管所有网络流量,这样 xreach 的请求也会走代理:
|
||||
|
||||
```bash
|
||||
# macOS — ClashX / Surge 开启"增强模式"
|
||||
# Linux — proxychains 或 tun2socks
|
||||
proxychains xreach search "test" -n 1
|
||||
```
|
||||
|
||||
### 方案 3:不用 xreach,用 Exa 搜索替代
|
||||
|
||||
xreach 不可用时,可以直接用 Exa 搜索 Twitter 内容:
|
||||
|
||||
```bash
|
||||
mcporter call 'exa.web_search_exa(query: "site:x.com 搜索词", numResults: 5)'
|
||||
```
|
||||
|
||||
### 方案 4:设置 HTTP_PROXY 环境变量
|
||||
|
||||
```bash
|
||||
export HTTP_PROXY="http://127.0.0.1:7890"
|
||||
export HTTPS_PROXY="http://127.0.0.1:7890"
|
||||
|
||||
xreach search "test"
|
||||
```
|
||||
|
||||
> ⚠️ 注意:Node.js 原生 fetch 不一定读取这些环境变量,推荐用方案 1 的 --proxy 参数。
|
||||
|
|
|
|||
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