"OpenAI Gym" matching MCP servers:

Provides MCP tools to list and search OpenAI Agents SDK documentation, enabling LLMs to retrieve documentation topics and content via natural language queries.

An MCP server that provides deep knowledge about OpenAI APIs and SDKs, enabling users to query technical information through various MCP clients including ChatGPT Deep Research, Cursor, and OpenAI Responses API.

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

An MCP server that allows users to efficiently search and reference user-configured documents through document listing, grep searching, semantic searching with OpenAI Embeddings, and full document retrieval.

Enables LLMs to dynamically search, scrape, and query official documentation of libraries like uv, OpenAI, LangChain, and LlamaIndex via Google Serper and Groq.

Enables AI-powered querying and management of documentation through markdown file serving, keyword search, and OpenAI-based Q\&A capabilities. Supports document indexing, analysis, and agent handoffs with rate limiting protection.

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.

A server that enables Claude to search and access documentation from popular libraries like LangChain, LlamaIndex, and OpenAI directly within conversations.

A search-and-retrieve MCP server that queries official documentation sites for modern libraries like LangChain, OpenAI, and Docker, extracting clean text content using Google Serper API and trafilatura.

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 Model Context Protocol server that loads multiple OpenAPI specifications and exposes them to LLM-powered IDE integrations, enabling AI to understand and work with your APIs directly in development tools like Cursor.

Fetches real-time official documentation for LangChain, LlamaIndex, and OpenAI to provide Claude with up-to-date API references and guides for accurate code generation.

An MCP server that fetches real-time documentation for popular libraries like Langchain, Llama-Index, MCP, and OpenAI, allowing LLMs to access updated library information beyond their knowledge cut-off dates.

Enables users to search and fetch documentation from supported libraries (langchain, llama-index, openai, uv) as clean, readable text, which can be used as context for answering questions.

Automatically converts OpenAPI specifications into a Model Context Protocol (MCP) server instance.

Exposes OpenAPI specifications as queryable documentation resources for LLMs, enabling semantic search, endpoint details, and deep links to Scalar docs.

Enables AI assistants to browse, read, compare, and validate OpenAPI contracts for providers and consumers.

A configurable MCP server providing searchable access to AI/ML SDK source code and documentation, supporting frameworks like OpenAI Agents and Google ADK. It enables AI assistants to browse files, extract class definitions, and compare implementations across different SDKs.

Exposes an MCP server over HTTP that allows searching and executing OpenAPI operations from any OpenAPI spec URL, with session variable storage.

A vendor-neutral MCP server that lets coding agents search and understand OpenAPI/Swagger documents via stdio tools, without calling real backend APIs.

Enables AI-powered querying and serving of markdown documentation with search, Q\&A capabilities, and document analysis. Built for the YC Agents Hackathon with OpenAI integration and rate limiting protection.

MCP server for loading and exploring OpenAPI/Swagger specifications, enabling AI assistants to dynamically browse API contracts by loading specs, searching endpoints, inspecting schemas, and retrieving operations.

Enables AI agents to explore configured Swagger and OpenAPI services, inspect operation contracts, and send real requests to APIs using a fixed set of tools.

Enables RAG-powered documentation search using OpenAI embeddings and Pinecone vector database. Provides an extensible framework for adding additional tools with support for both local STDIO and production HTTP transports.

Converts any OpenAPI/Swagger spec into an MCP server, exposing REST API endpoints as tools for Claude.

A FastMCP server that enables AI applications to navigate and query OpenAPI specifications, including resolving $ref pointers and inspecting paths and operations.

MCP server providing tools for interacting with 1С:Напарник AI, including asking questions, syntax explanation, code review, and documentation search. Also serves as a web chat interface and OpenAI-compatible API gateway.

This tool creates a Model Context Protocol (MCP) server that acts as a proxy for any API that has an OpenAPI v3.1 specification. This allows you to use Claude Desktop to easily interact with both local and remote server APIs.

Enables coding agents to check requests against a live OpenAPI 3.x specification rather than guessing, by resolving endpoints from a docs anchor, operationId, path fragment or tag, revealing what each operation accepts and returns with $refs resolved, and diffing a concrete payload to report missing, unknown, mistyped, or forbidden fields with suggested corrections. All five tools are strictly read-only, never touching the API the schema describes, and return actionable errors with close-match suggestions.

Dynamically generates Model Context Protocol tools, resources, and prompts from OpenAPI 3.x specifications so LLMs can discover and invoke REST API operations through natural language. Supports multiple combined specs, tag-based filtering, enriched tool descriptions, and Basic, Bearer, API key, or Cognito authentication.