Gemini Agent MCP Server

Gemini Agent MCP Server

Provides tools for managing todo lists, checking weather, and accessing user information through the Model Context Protocol. It supports local execution and remote deployment as a web-based MCP gateway integrated with Gemini.

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README

🤖 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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