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MCP integration＃

Model Context Protocol (MCP) is an open standard for connecting AI assistants to specialized tools. Think of it as "USB-C for AI" - one protocol that works everywhere, enabling seamless integration between AI applications and external capabilities.

kluster.ai provides MCP servers that bring AI services directly into your development workflow. Choose between a managed cloud endpoint or self-hosted deployment for seamless integration across platforms.

What is MCP?＃

MCP lets AI applications access external capabilities:

  • Local tools: Files, databases, custom functions.
  • Remote services: APIs, web services, cloud resources.
  • Specialized features: Like kluster.ai's verification technology.

MCP through kluster.ai services＃

Instead of managing API calls and integrations, access kluster.ai's AI capabilities as native tools in Claude desktop, VS Code, and other MCP-compatible platforms.

The kluster.ai MCP offers the Verify service through two deployment options designed for different use cases and platforms.

Cloud MCP＃

Managed cloud implementation - no infrastructure to maintain:

  • verify: Validates claims against reliable sources.
  • verify_document: Verifies claims about uploaded documents.

Enable your endpoint through the kluster.ai platform, get your MCP token, and start verifying. Works with any MCP client using standard connection patterns.

Self-hosted MCP＃

Same verification tools running on your infrastructure with full control. Deploy locally with Docker or Node.js.

Integrate MCP＃

  • Guide Get started with MCP

    Quick start guide using Cloud MCP as the default path. Enable your endpoint and connect Claude Desktop in five minutes.

    Five-minute setup

  • Guide Cloud MCP

    Enable managed MCP endpoints with MCP token authentication. There is no infrastructure to maintain, just enable and integrate.

    Platform setup

  • Guide Self-hosted MCP

    Deploy the MCP server locally with Docker or Node.js. Perfect for development and testing with full control.

    Local deployment

Additional resources＃