MCP server
by janwilmake
Easily convert your OpenAPI specification into usable MCP endpoints with OpenAPI Proxy. Streamline API integration and b
Converts OpenAPI specifications into MCP endpoints that Claude can use to explore and understand APIs. Searches through oapis.org to find and analyze API documentation.
OpenAPI Proxy is a community-built MCP server published by janwilmake that provides AI assistants with tools and capabilities via the Model Context Protocol. Easily convert your OpenAPI specification into usable MCP endpoints with OpenAPI Proxy. Streamline API integration and b It is categorized under developer tools. This server exposes 2 tools that AI clients can invoke during conversations and coding sessions.
You can install OpenAPI Proxy in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
OpenAPI Proxy is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Strong directory entry: OpenAPI Proxy surfaces stars and publisher context so we could sanity-check maintenance before adopting.
OpenAPI Proxy is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
OpenAPI Proxy has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
I recommend OpenAPI Proxy for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated OpenAPI Proxy against two servers with overlapping tools; this profile had the clearer scope statement.
OpenAPI Proxy is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
Useful MCP listing: OpenAPI Proxy is the kind of server we cite when onboarding engineers to host + tool permissions.
OpenAPI Proxy is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
We evaluated OpenAPI Proxy against two servers with overlapping tools; this profile had the clearer scope statement.
OpenAPI Proxy reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
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A Model Context Protocol (MCP) server for Claude/Cursor that enables searching and exploring OpenAPI specifications through oapis.org.
The MCP works by applying a 3 step process:
Features
For other clients, use MCP URL: https://openapi-mcp.openapisearch.com/mcp
First run the server
wrangler dev
Then run the mcp inspector:
npx @modelcontextprotocol/inspector
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.