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MCP integration＃

Model Context Protocol or 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 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.

How to 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

  • Integration Cloud MCP

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

    Platform setup

  • Integration 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＃