Provides tools for accessing weather information, user data, and managing todo lists, mirroring the capabilities of the Google Gemini Agent.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Gemini Agent MCP ServerAdd 'Review the project proposal' to my todo list"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
🤖MCP
Core Capabilities:
🌦️ Weather: Provides current atmospheric conditions for any location.
⏰ System Time: Syncs the agent with the exact local system clock.
👤 Contextual Awareness: Accesses local user information to personalize AI responses.
🔌 Universal Connectivity: Fully compatible with any MCP client (Cursor, Claude Desktop, etc.).
Running the MCP server
To start the MCP server locally:
npm run mcpAgent_B1997 helps you to connecting & testing MCP.
...
Setup with Claude Desktop (Local)
... (existing local config) ...
🌐 Local Deployment (API)
Once you start the project using npm run dev, you can access the Agent UI & API locally.
1. Local API Endpoints
MCP Gateway:
http://localhost:3000/api/mcp(MCP JSON-RPC)
Example MCP Tool List:
curl -X POST http://localhost:3000/api/mcp \
-H "Content-Type: application/json" \
-d '{"jsonrpc": "2.0", "id": 1, "method": "tools/list"}'This server cannot be installed
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.