MCP OpenAPI Schema Explorer

Created By
kadykov5 months ago
MCP server providing token-efficient access to OpenAPI/Swagger specs via MCP Resources for client-side exploration.
Overview

What is MCP OpenAPI Schema Explorer?

MCP OpenAPI Schema Explorer is a server that provides token-efficient access to OpenAPI and Swagger specifications via MCP Resources, allowing clients to explore API specifications without loading entire files into memory.

How to use MCP OpenAPI Schema Explorer?

To use the MCP OpenAPI Schema Explorer, run it with an MCP client like Claude Desktop, configuring it to point to your OpenAPI specification file or URL. You can use npx for easy setup or install it globally via npm.

Key features of MCP OpenAPI Schema Explorer?

  • Token-efficient access to OpenAPI specs.
  • Supports both OpenAPI v3.0 and Swagger v2.0, with automatic conversion.
  • Load specifications from local files or remote URLs.
  • Multiple output formats available (JSON, YAML).
  • Dynamic server naming based on the loaded spec.

Use cases of MCP OpenAPI Schema Explorer?

  1. Exploring large API specifications without memory overload.
  2. Browsing API paths and components in client applications.
  3. Facilitating API documentation and testing workflows.

FAQ from MCP OpenAPI Schema Explorer?

  • Can I use it with any MCP client?

Yes, it is designed to work with any MCP client that supports resource access.

  • Is it necessary to install it globally?

No, you can run it using npx without global installation.

  • What formats does it support for output?

It supports JSON, YAML, and minified JSON formats.

Project Info
Created At
5 months ago
Updated At
5 months ago
Author Name
kadykov
Star
13
Language
TypeScript
License
MIT license

Recommend Servers

View All
Pyghidra Mcp
@clearbluejar

PyGhidra-MCP - Ghidra Model Context Protocol Server pyghidra-mcp is a command-line Model Context Protocol (MCP) server that brings the full analytical power of Ghidra, a robust software reverse engineering (SRE) suite, into the world of intelligent agents and LLM-based tooling. It bridges Ghidra’s ProgramAPI and FlatProgramAPI to Python using pyghidra and jpype, then exposes that functionality via the Model Context Protocol. MCP is a unified interface that allows language models, development tools (like VS Code), and autonomous agents to access structured context, invoke tooling, and collaborate intelligently. Think of MCP as the bridge between powerful analysis tools and the LLM ecosystem. With pyghidra-mcp, Ghidra becomes an intelligent backend—ready to respond to context-rich queries, automate deep reverse engineering tasks, and integrate into AI-assisted workflows. Yet another Ghidra MCP? Yes, the original ghidra-mcp is fantastic. But pyghidra-mcp takes a different approach: 🐍 No GUI required – Run entirely via CLI for streamlined automation and scripting. 🔁 Designed for automation – Ideal for integrating with LLMs, CI pipelines, and tooling that needs repeatable behavior. ✅ CI/CD friendly – Built with robust unit and integration tests for both client and server sessions. 🚀 Quick startup – Supports fast command-line launching with minimal setup. 📦 Project-wide analysis – Enables concurrent reverse engineering of all binaries in a Ghidra project 🤖 Agent-ready – Built for intelligent agent-driven workflows and large-scale reverse engineering automation. 🔍 Semantic code search – Uses vector embeddings (via ChromaDB) to enable fast, fuzzy lookup across decompiled functions, comments, and symbols—perfect for pseudo-C exploration and agent-driven triage.

12 hours ago