"openapi" matching MCP servers:

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.

Turns an existing Express, Hono, Fastify, or Next.js API into a Streamable HTTP MCP endpoint, exposing one tool per OpenAPI operation that runs in-process through the app's existing routes, auth, validation, and handlers. It also serves discovery documents and readiness guidance so models can better understand and call the API.

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.

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.

Turns any OpenAPI 3.x spec into an MCP server that exposes one validated tool per API operation, so AI agents can discover and call a REST API over stdio or Streamable HTTP. It is read-only by default, with allow/deny lists, environment-based auth, timeouts and response truncation for safe agent access.

Turns any OpenAPI 3.0/3.1 spec into validated MCP tools, letting hosts call allowed API operations locally with strict schemas, secure credential handling, and read-only-by-default filtering.

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.

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.

Enables creating and using REST APIs from natural language descriptions, with MCP tools to generate, manage, and interact with deployed API wrappers.

A generic MCP server that builds its tools at runtime from any OpenAPI specification, enabling interaction with any REST API through natural language.

Dynamically generates MCP tools from OpenAPI specifications, enabling AI assistants to interact with any REST API through natural language. Supports multiple APIs with authentication, parameter validation, and integration with Claude Desktop and LangChain.

An MCP server that exposes HTTP methods defined in an OpenAPI specification as tools, enabling interaction with APIs via the Model Context Protocol.

Automatically generates MCP server tools from OpenAPI specifications, enabling LLMs to interact with any API defined by an OpenAPI spec through natural language.

Turn any OpenAPI/Swagger spec into MCP tools. Zero config, zero code. Supports Swagger 2.0, OpenAPI 3.x, Bearer/API-key/OAuth2 auth, flat parameter schemas for better LLM accuracy, and smart response truncation.

Exposes selected operations of an existing REST/OpenAPI app as MCP tools with generated schemas, permission annotations, and a risk class, requiring explicit opt-in before anything is listed and a second flag for destructive calls. Enforces security-first guardrails such as environment-injected auth, a single confined base URL, timeouts, response caps, rate limiting, and a local test console for trying tools.

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

Search and harvest Korean academic literature and book bibliography metadata from the National Library of Korea Seoji OpenAPI via MCP or CLI.

Search and collect data from the National Assembly Library of Korea's OpenAPI (21 DB types) and export to xlsx/csv/json/sqlite.

A generic MCP server that dynamically exposes any OpenAPI-documented REST API to LLMs by auto-discovering endpoints. It provides tools for exploring API capabilities and making authenticated requests directly through natural language interfaces.

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