Skip to main content
Glama

Grants Search MCP Server

#!/usr/bin/env python3 """ Simple test server to verify Cloud Run deployment works. This helps us isolate whether the issue is with the deployment pipeline or the MCP server. """ import os import logging from http.server import HTTPServer, BaseHTTPRequestHandler import json from datetime import datetime logging.basicConfig(level=logging.INFO) logger = logging.getLogger(__name__) class TestHandler(BaseHTTPRequestHandler): def do_GET(self): """Handle GET requests.""" logger.info(f"GET request: {self.path}") if self.path == "/health": response = { "status": "healthy", "service": "grants-mcp-test", "timestamp": datetime.now().isoformat(), "message": "Simple test server is working!" } elif self.path == "/": response = { "service": "grants-mcp-test", "status": "running", "message": "Test server deployed successfully!", "endpoints": ["/", "/health"] } else: self.send_response(404) self.end_headers() self.wfile.write(b'Not found') return self.send_response(200) self.send_header('Content-Type', 'application/json') self.end_headers() self.wfile.write(json.dumps(response, indent=2).encode()) def log_message(self, format, *args): """Override to use our logger.""" logger.info(format % args) def main(): """Start the test server.""" port = int(os.getenv("PORT", 8080)) host = "0.0.0.0" logger.info(f"🚀 Starting test server on {host}:{port}") logger.info(f"❤️ Health endpoint: http://{host}:{port}/health") logger.info(f"🏠 Root endpoint: http://{host}:{port}/") server = HTTPServer((host, port), TestHandler) try: logger.info("✅ Server is ready to accept connections") server.serve_forever() except KeyboardInterrupt: logger.info("🛑 Server shutdown requested") server.shutdown() if __name__ == "__main__": main()

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Tar-ive/grants-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server