Model Context Protocol (MCP) Integration
Which Integration Method is Right for You?
We offer two primary ways to integrate our tools with your AI workflow, depending on your specific needs:
For Desktop AI Assistants
If you’re using desktop assistants like Claude Desktop, Cursor, or GitHub Copilot:
Download our tools as MCP servers for seamless integration with desktop AI applications. The Model Context Protocol (MCP) allows these assistants to access your tools directly without additional coding.
https://openapitools.com/dashboard/tools
For Custom Development
If you’re building custom chatbots or multi-agent systems:
Use our SDK to integrate tools directly in your code. Perfect for developers working with frameworks like LangChain, LangGraph, or building custom AI solutions from scratch.
https://openapitools.com/dashboard/tools
Compare Options
| Integration Method | Best For | Key Benefits |
|---|---|---|
| MCP Server | Desktop AI assistants, no-code solutions | Easy setup, works with Claude Desktop, visual tool selection |
| SDK Integration | Custom development, multi-agent systems | Full programmatic control, framework compatibility, advanced workflows |
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