5c62a21f32
全局重命名： - 包名: agent_eyes → agent_reach - CLI: agent-eyes → agent-reach - 类名: AgentEyes → AgentReach - 显示名: Agent Eyes → Agent Reach - GitHub: Panniantong/agent-eyes → Panniantong/Agent-Reach 所有 36 个测试通过，CLI/doctor/read/search 全部正常。
101 lines
4.5 KiB
Python
101 lines
4.5 KiB
Python
# -*- coding: utf-8 -*-
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"""
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Agent Reach MCP Server — expose all capabilities as MCP tools.
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Run: python -m agent_reach.integrations.mcp_server
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8 tools for any MCP-compatible AI Agent.
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"""
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import asyncio
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import json
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import sys
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from agent_reach.config import Config
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from agent_reach.core import AgentReach
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try:
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from mcp.server import Server
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from mcp.server.stdio import stdio_server
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from mcp.types import Tool, TextContent
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HAS_MCP = True
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except ImportError:
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HAS_MCP = False
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def create_server():
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if not HAS_MCP:
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print("MCP not installed. Install: pip install agent-reach[mcp]", file=sys.stderr)
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sys.exit(1)
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server = Server("agent-reach")
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config = Config()
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eyes = AgentReach(config)
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@server.list_tools()
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async def list_tools():
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return [
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Tool(name="read_url",
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description="Read content from any URL. Supports: web, GitHub, Reddit, Twitter, YouTube, Bilibili, RSS.",
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inputSchema={"type": "object", "properties": {"url": {"type": "string"}}, "required": ["url"]}),
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Tool(name="read_batch",
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description="Read multiple URLs concurrently.",
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inputSchema={"type": "object", "properties": {"urls": {"type": "array", "items": {"type": "string"}}}, "required": ["urls"]}),
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Tool(name="detect_platform",
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description="Detect what platform a URL belongs to.",
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inputSchema={"type": "object", "properties": {"url": {"type": "string"}}, "required": ["url"]}),
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Tool(name="search",
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description="Semantic web search via Exa.",
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inputSchema={"type": "object", "properties": {"query": {"type": "string"}, "num_results": {"type": "integer", "default": 5}}, "required": ["query"]}),
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Tool(name="search_reddit",
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description="Search Reddit posts.",
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inputSchema={"type": "object", "properties": {"query": {"type": "string"}, "subreddit": {"type": "string"}, "limit": {"type": "integer", "default": 10}}, "required": ["query"]}),
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Tool(name="search_github",
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description="Search GitHub repositories.",
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inputSchema={"type": "object", "properties": {"query": {"type": "string"}, "language": {"type": "string"}, "limit": {"type": "integer", "default": 5}}, "required": ["query"]}),
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Tool(name="search_twitter",
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description="Search Twitter/X posts.",
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inputSchema={"type": "object", "properties": {"query": {"type": "string"}, "limit": {"type": "integer", "default": 10}}, "required": ["query"]}),
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Tool(name="get_status",
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description="Get Agent Reach status: which channels are active.",
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inputSchema={"type": "object", "properties": {}}),
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]
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@server.call_tool()
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async def call_tool(name: str, arguments: dict):
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try:
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if name == "read_url":
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result = await eyes.read(arguments["url"])
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elif name == "read_batch":
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result = await eyes.read_batch(arguments["urls"])
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elif name == "detect_platform":
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result = eyes.detect_platform(arguments["url"])
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elif name == "search":
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result = await eyes.search(arguments["query"], arguments.get("num_results", 5))
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elif name == "search_reddit":
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result = await eyes.search_reddit(arguments["query"], arguments.get("subreddit"), arguments.get("limit", 10))
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elif name == "search_github":
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result = await eyes.search_github(arguments["query"], arguments.get("language"), arguments.get("limit", 5))
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elif name == "search_twitter":
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result = await eyes.search_twitter(arguments["query"], arguments.get("limit", 10))
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elif name == "get_status":
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result = eyes.doctor_report()
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else:
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result = f"Unknown tool: {name}"
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text = json.dumps(result, ensure_ascii=False, indent=2) if isinstance(result, (dict, list)) else str(result)
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return [TextContent(type="text", text=text)]
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except Exception as e:
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return [TextContent(type="text", text=f"Error: {str(e)}")]
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return server
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async def main():
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server = create_server()
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async with stdio_server() as (read_stream, write_stream):
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await server.run(read_stream, write_stream, server.create_initialization_options())
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if __name__ == "__main__":
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asyncio.run(main())
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