Self-hosted MCP

kluster.ai's 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 for instant setup without deployment.

Prerequisites

• A kluster.ai account: Sign up on the kluster.ai platform if you don't have one.
• A kluster.ai API key: After signing in, go to the API Keys section and create a new key. For detailed instructions, check out the Get an API key guide.
• Docker or Node.js 18+.
• Git for cloning the repository.
• Claude desktop 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:

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):

docker build -t kluster-verify-mcp .
docker run --rm -p 3001:3001 kluster-verify-mcp --api-key YOUR_API_KEY

Node.js:

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:

{
  "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.

Configuration

CLI options:

• --api-key <key> - kluster.ai API key.
• --base-url <url> - kluster.ai base URL.
• --port <port> - Server port (default: 3001).