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).