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178
mcp-server/stdio_server.py
Executable file
178
mcp-server/stdio_server.py
Executable file
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#!/usr/bin/env python3
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"""
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MCP Server with stdio transport for Claude CLI
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This server provides stock trading tools via Model Context Protocol
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using stdio transport for direct integration with Claude CLI.
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"""
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import asyncio
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import sys
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from typing import Any
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import httpx
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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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# Import configuration
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from config import settings
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from utils import _dumps
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# Initialize MCP Server
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app = Server("auto-stock-mcp")
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# Backend API base URL
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BACKEND_URL = "http://localhost:8000/api/v1"
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@app.list_tools()
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async def list_tools() -> list[Tool]:
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"""List available tools"""
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return [
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Tool(
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name="get_portfolio",
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description="Get current portfolio information including holdings and balance",
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inputSchema={
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"type": "object",
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"properties": {},
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"required": []
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}
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),
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Tool(
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name="get_market_data",
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description="Get real-time market data for a specific stock",
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inputSchema={
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"type": "object",
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"properties": {
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"stock_code": {
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"type": "string",
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"description": "Stock code (e.g., '005930' for Samsung)"
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}
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},
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"required": ["stock_code"]
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}
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),
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Tool(
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name="get_recommendations",
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description="Get AI-generated stock recommendations based on technical analysis",
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inputSchema={
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"type": "object",
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"properties": {},
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"required": []
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}
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),
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Tool(
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name="get_trade_history",
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description="Get recent trade history",
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inputSchema={
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"type": "object",
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"properties": {
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"limit": {
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"type": "number",
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"description": "Number of trades to return (default: 20)"
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}
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},
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"required": []
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}
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),
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Tool(
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name="analyze_stock",
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description="Perform detailed technical analysis on a stock",
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inputSchema={
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"type": "object",
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"properties": {
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"stock_code": {
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"type": "string",
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"description": "Stock code to analyze"
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}
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},
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"required": ["stock_code"]
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}
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)
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]
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@app.call_tool()
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async def call_tool(name: str, arguments: Any) -> list[TextContent]:
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"""Handle tool calls"""
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try:
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async with httpx.AsyncClient(timeout=30.0) as client:
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if name == "get_portfolio":
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response = await client.get(f"{BACKEND_URL}/portfolio")
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data = response.json()
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return [TextContent(
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type="text",
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text=_dumps(data)
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)]
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elif name == "get_market_data":
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stock_code = arguments.get("stock_code")
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response = await client.get(
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f"{BACKEND_URL}/market-data/prices",
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params={"codes": stock_code}
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)
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data = response.json()
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return [TextContent(
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type="text",
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text=_dumps(data)
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)]
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elif name == "get_recommendations":
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response = await client.get(f"{BACKEND_URL}/recommendations/rule-based")
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data = response.json()
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return [TextContent(
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type="text",
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text=_dumps(data)
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)]
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elif name == "get_trade_history":
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limit = arguments.get("limit", 10 if settings.TOKEN_SAVE_MODE else 20)
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response = await client.get(
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f"{BACKEND_URL}/trades",
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params={"limit": limit}
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)
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data = response.json()
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return [TextContent(
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type="text",
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text=_dumps(data)
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)]
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elif name == "analyze_stock":
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stock_code = arguments.get("stock_code")
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# Get chart data
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response = await client.get(
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f"{BACKEND_URL}/market-data/chart/{stock_code}",
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params={"period": "D", "realtime": "true"}
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)
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data = response.json()
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return [TextContent(
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type="text",
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text=_dumps(data)
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)]
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else:
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return [TextContent(
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type="text",
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text=f"Unknown tool: {name}"
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)]
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except Exception as e:
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return [TextContent(
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type="text",
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text=f"Error calling tool {name}: {str(e)}"
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)]
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async def main():
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"""Run the MCP server with stdio transport"""
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async with stdio_server() as (read_stream, write_stream):
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await app.run(
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read_stream,
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write_stream,
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app.create_initialization_options()
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)
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if __name__ == "__main__":
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asyncio.run(main())
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