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schwab-mcp-custom/server.py
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Add upload_cookies tool for manual session provision
2026-04-24 01:54:45 +00:00

149 lines
4.6 KiB
Python

import json
import os
from typing import Optional, Any
from fastmcp import FastMCP
from starlette.applications import Starlette
from starlette.responses import JSONResponse
from starlette.routing import Route, Mount
import uvicorn
# Import the unified API from the schwab_scraper dependency
import schwab_scraper.unified_api as api
# Initialize FastMCP
mcp = FastMCP("SchwabScraper")
@mcp.tool()
async def get_session_status(debug: bool = False) -> str:
"""Get the current session status of the Schwab scraper.
Args:
debug: Enable debug logging
"""
result = await api.get_session_status(debug=debug)
return json.dumps(result)
@mcp.tool()
async def list_accounts(debug: bool = False) -> str:
"""List all Schwab accounts.
Args:
debug: Enable debug logging
"""
result = await api.list_accounts(debug=debug)
return json.dumps(result)
@mcp.tool()
async def get_account_overview(account: Optional[str] = None, debug: bool = False) -> str:
"""Get the overview for a specific account.
Args:
account: Account summary or ID (optional)
debug: Enable debug logging
"""
result = await api.get_account_overview(account=account, debug=debug)
return json.dumps(result)
@mcp.tool()
async def get_positions(account: Optional[str] = None, include_non_equity: bool = False, debug: bool = False) -> str:
"""Get positions for a specific account.
Args:
account: Account summary or ID (optional)
include_non_equity: Whether to include non-equity positions
debug: Enable debug logging
"""
result = await api.get_positions(account=account, include_non_equity=include_non_equity, debug=debug)
return json.dumps(result)
@mcp.tool()
async def get_transactions(
account: Optional[str] = None,
start_date: Optional[str] = None,
end_date: Optional[str] = None,
time_period: Optional[str] = None,
debug: bool = False
) -> str:
"""Get transaction history.
Args:
account: Account ID (optional)
start_date: Start date for transactions (optional)
end_date: End date for transactions (optional)
time_period: Time period (e.g., '1D', '1M') (optional)
debug: Enable debug logging
"""
result = await api.get_transaction_history(
account=account,
start_date=start_date,
end_date=end_date,
time_period=time_period,
debug=debug
)
return json.dumps(result)
@mcp.tool()
async def get_morningstar_data(ticker: str, debug: bool = False) -> str:
"""Get Morningstar data for a ticker.
Args:
ticker: Stock ticker symbol
debug: Enable debug logging
"""
result = await api.get_morningstar_data(ticker, debug=debug)
return json.dumps(result)
@mcp.tool()
async def upload_cookies(cookies_json: str) -> str:
"""Upload session cookies to the server to assist with authentication.
Args:
cookies_json: JSON string of cookies exported from a browser (Playwright format)
"""
try:
# Validate JSON
cookies = json.loads(cookies_json)
# Write to cookies.json
with open("cookies.json", "w") as f:
json.dump(cookies, f)
return json.dumps({"status": "success", "message": "cookies.json updated successfully"})
except Exception as e:
return json.dumps({"status": "error", "message": str(e)})
@mcp.tool()
async def api_call(endpoint: str, method: str = "GET", params: str = "{}") -> str:
"""Executes a raw API call to the Schwab service (Dummy implementation).
Refer to the 'api-reference' resource for available endpoints and parameters.
Args:
endpoint: The API path
method: HTTP method (GET, POST, etc.)
params: JSON string of parameters/body
"""
return json.dumps({"status": "not_implemented", "message": "API pass-through not supported for scraper"})
@mcp.resource("service://api-reference")
def get_api_docs() -> str:
"""Returns the API documentation for using the 'api_call' tool."""
return "Schwab Scraper MCP Server - Unified API Documentation\n\nThis server provides tools to interact with Schwab accounts via scraping. The 'api_call' tool is a placeholder."
async def health(request):
"""Health check endpoint."""
return JSONResponse({"status": "ok"})
# Create the Starlette application
mcp_app = mcp.http_app()
app = Starlette(
routes=[
Route("/health", health),
Mount("/", app=mcp_app)
],
lifespan=mcp_app.lifespan
)
if __name__ == "__main__":
port = int(os.getenv("PORT", 8160))
uvicorn.run(app, host="0.0.0.0", port=port)