Kluster.ai Verify MCP

# Self-hosted MCP [kluster.ai's](https://www.kluster.ai/) HTTP Streamable MCP self-hosted server. Deploy locally with two powerful tools: `verify` for fact-checking a prompt from a user and response from the agent, and `verify_document` for document validation. **Need easier hosting?** Try our [Cloud MCP](https://platform.kluster.ai/mcp) for instant setup without deployment. ## Prerequisites - **A kluster.ai account**: Sign up on the [kluster.ai platform ](https://platform.kluster.ai/signup) if you don't have one. - **A kluster.ai API key**: After signing in, go to the [**API Keys**](https://platform.kluster.ai/apikeys) section and create a new key. For detailed instructions, check out the [Get an API key](/get-started/get-api-key/) guide. - **Docker** or **Node.js 18+**. - **Git** for cloning the repository. - **[Claude desktop](https://claude.ai/download)** for testing the integration but you can use your preffered MCP client. ## Get started ### 1. Clone and setup Download the MCP server code to your local machine: ```bash git clone https://github.com/kluster-ai/verify-mcp cd verify-mcp ``` ### 2. Deploy server Start your local MCP server using Docker or Node.js. Replace `YOUR_API_KEY` with your actual kluster.ai API key: **Docker (recommended):** ```bash docker build -t kluster-verify-mcp . docker run --rm -p 3001:3001 kluster-verify-mcp --api-key YOUR_API_KEY ``` **Node.js:** ```bash npm install npm run build npm start -- --api-key YOUR_API_KEY ``` The server starts on `http://localhost:3001` with MCP endpoint at `/stream`. ### 3. Add to Claude Desktop Connect Claude Desktop to your local server by adding this configuration to your `claude_desktop_config.json` file: ```json { "mcpServers": { "kluster-verify": { "command": "npx", "args": [ "mcp-remote", "http://localhost:3001/stream" ] } } } ``` **Important:** Restart Claude desktop after modifying the configuration file for changes to take effect.  ### 4. Start verifying Once connected, you can use the verification tools directly in Claude desktop conversations:  ## Available tools - **`verify`** - Fact-check a prompt from a user and response from the agent against reliable sources. - **`verify_document`** - Verify if a response from the agent accurately reflects document content based on the user's prompt. For detailed parameters and response formats, see the [Tools reference](https://docs.kluster.ai/get-started/mcp/tools/). ## Configuration **CLI options:** - `--api-key <key>` - kluster.ai API key. - `--base-url <url>` - kluster.ai base URL. - `--port <port>` - Server port (default: 3001).