mcp

🤖 MCP Server

This project includes a Model Context Protocol (MCP) server that exposes the same tools as the Gemini Agent (Weather, User Info, Todo List).

Running the MCP server

To start the MCP server locally:

npm run mcp

Setup with Claude Desktop (Local)

... (existing local config) ...

🌐 Use it from a Link (Deployment)

You can deploy the Agent UI & API to Vercel and expose your MCP Server via ngrok.

1. Deploy the Web UI & API to Vercel

1. Push your code to GitHub.
2. Import the project into Vercel.
3. Add GOOGLE_API_KEY to Project Settings -> Environment Variables.
4. Your agent will be at https://your-project.vercel.app.

2. Use the "Link" version (API)

Your app provides two public endpoints:

• Chat API: https://your-project.vercel.app/api/chat (Regular JSON)
• MCP Gateway: https://your-project.vercel.app/api/mcp (MCP JSON-RPC)

Example Chat Call:

curl -X POST https://your-project.vercel.app/api/chat \
  -H "Content-Type: application/json" \
  -d '{"prompt": "What time is it?"}'

Example MCP Tool List:

curl -X POST https://your-project.vercel.app/api/mcp \
  -H "Content-Type: application/json" \
  -d '{"jsonrpc": "2.0", "id": 1, "method": "tools/list"}'

3. Expose the MCP Server via a Link (Local)

...

👀 Want to learn more?

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