"Overview and Information on OpenAPI Specification" matching MCP servers:

A template for building MCP servers with a built-in paywall gate that offers free local execution and premium server-side execution via Stripe and x402 payment lanes.

Turn any OpenAPI spec into MCP tools for Claude — instantly. Point mcp-openapi at any OpenAPI 3.x spec and Claude can call every endpoint through natural language. No custom integration code. No manual tool definitions. One line of config.

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 template for deploying an MCP server on Vercel, with example tools like roll_dice and get_weather.

A generic MCP server that dynamically converts OpenAPI-defined REST APIs into tools for LLMs like Claude. It supports multiple authentication methods and transport protocols, enabling seamless interaction with any OpenAPI-compliant API.

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.

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 discover, search, and call any REST API described by an OpenAPI or Swagger document. Supports multiple API endpoints with authentication and parameter handling.

A MCP server that exposes OpenAPI schema information to LLMs like Claude. This server allows an LLM to explore and understand large OpenAPI schemas through a set of specialized tools, without needing to load the whole schema into the context

Enables converting any OpenAPI 3.2 specification into a fully functional MCP server, automatically generating tools, prompts, and resources with support for stdio and HTTP/SSE transports.

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

Enables AI agents to explore any OpenAPI 3 spec, inspect endpoints and schemas, generate TypeScript types, and make authenticated API calls using credentials mapped to the spec's security schemes.

Mount any OpenAPI spec as an MCP server, supporting multiple APIs with authentication and resource auto-promotion.

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

Provides AI assistants with structured access to the CityJSON specification, enabling on-demand fetching of specific chapters.

MCP server providing token-efficient access to OpenAPI/Swagger specs via MCP Resources for client-side exploration.

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

Enables MCP clients to connect to a privacy-first, self-hostable workout planning and training log, allowing coaching agents to preview and apply program changes while accessing training data through OAuth-protected endpoints.

Enables AI agents to search, filter, and monitor curated AI model API free credits and low-cost token promotions through eight tools, four resources, and three prompts — including finding deals expiring soon, checking eligibility and blocked conditions, and producing daily briefs.

Auto-generates MCP tools from your OpenAPI spec, allowing natural language interaction with any API via configurable headers and serverless deployment.