Future AGI MCP Server
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# Future AGI MCP Server A powerful server implementation that integrates with the Future AGI SDK through the Model Context Protocol (MCP). This server provides tools which can be used to interact with Future AGI features. ## Features **Run automatic evaluations** — Evaluate batch and single inputs on various [evaluation](https://docs.futureagi.com/future-agi/products/evaluation/overview) metrics present in Future AGI both on local datapoints and large datasets **Manage datasets** — Upload, evaluate, download [datasets](https://docs.futureagi.com/future-agi/products/dataset/overview) and find insights with natural language ## Installation 1. Clone the repository: ```bash git clone https://github.com/future-agi/futureagi-mcp-server.git cd futureagi-mcp-server ``` 2. Install uv ```bash brew install uv ``` 3. Install dependencies: ```bash uv sync # this will create a virtual environment if not present and installs necessary dependencies ``` ## Configuring the Server to MCP Clients Create an account at **[http://app.futureagi.com/](http://app.futureagi.com/) and obtain your** **API key** **and** **Secret key** from the dashboard. These credentials are required for the Future AGI MCP Server to authenticate with our API. Export them by running the following command in your terminal ``` export FI_API_KEY="your_api_key" export FI_SECRET_KEY="your_secret_key" ``` To run the server locally and debugging issues: ```bash python main.py ``` To Configure with MCP Clients like VS Code and Claude using local forked repository. Use this for testing your code changes using client ``` { "mcpServers": { "FutureAGI-MCP": { "command": "uv", "args": [ "--directory", "/path/to/futureagi-mcp-server", "run", "main.py" ], "env": { "FI_SECRET_KEY": "your_api_key", "FI_API_KEY": "your_secret_key", "FI_BASE_URL": "https://api.futureagi.com", "PYTHONPATH": "/path/to/futureagi-mcp-serv…
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