Self-hosted MCP

Name: Kluster.ai Verify MCP
Author: kluster-ai

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.

Add server to Claude Desktop

4. Start verifying

Once connected, you can use the verification tools directly in Claude desktop conversations:

Start using verification tools

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.