"A server for exploring and analyzing large OpenAPI schemas efficiently" matching MCP servers:

An MCP server that provides tools for exploring large OpenAPI schemas without loading entire schemas into LLM context. Perfect for discovering and analyzing endpoints, data models, and API structure efficiently.

Provides a ready-to-run MCP server and Python SDK for securely interacting with Openapi.com APIs, enabling businesses to retrieve official documents and data through natural language.

This server facilitates scalable discovery and execution of OpenAPI endpoints using semantic search and high-performance processing, overcoming limitations of large spec handling for streamlined API interactions.

Dynamically exposes any REST API as MCP tools by parsing its OpenAPI specification.

Dynamically creates MCP tools and resources from OpenAPI specifications, with a React admin panel for managing configurations, monitoring, and invoking resources.

Enables agents to query real-time OpenAPI documentation of backend services, providing tools to list services, endpoints, and schemas via MCP.

Dynamically exposes any OpenAPI/Swagger API as tools for AI assistants, automatically generating MCP tools from OpenAPI specs with authentication support.

Read-only MySQL MCP server that lets AI agents list tables, describe schemas, and run SELECT/SHOW/EXPLAIN queries with a row cap, bound to a single database for safety.

Enables efficient exploration of OpenAPI specs via markdown, with progressive disclosure of endpoints, schemas, and batch operations to minimize AI context usage.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Enables Large Language Models to access and manipulate Autodesk Revit models through a pyRevit-based bridge and the Model Context Protocol.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

Provides offline lookup of Saxo Bank OpenAPI endpoint parameters and JSON samples via CLI or MCP tools, enabling token-efficient discovery of endpoint specs without API credentials.

Converts FastAPI application OpenAPI documentation into MCP tools for AI assistants to efficiently query API information. Reduces token consumption by enabling on-demand, structured API queries instead of loading complete OpenAPI specifications.

A Python-based MCP server that integrates OpenAPI-described REST APIs into MCP workflows, enabling dynamic exposure of API endpoints as MCP tools.

Enables AI coding agents to request a second opinion from a different frontier model via a single tool call, with PII scrubbed before transit, live web search, and support for Claude, ChatGPT, Cursor, and Gemini.

提供A股实时行情、历史K线、财务报表、技术指标等全方位数据查询的MCP服务器，支持盘中即时更新及批量查询。

Provides a hand-written MCP server integrated with a LangGraph agent to benchmark multiple agent topologies and measure their failure rates.

Point it at an OpenAPI 3.x document and get an MCP server that exposes the API's endpoints as typed, validated tools for Claude or any MCP client.