"openapi" matching MCP servers:

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

Generates a Model Context Protocol server from an existing NestJS API's Swagger metadata, exposing endpoints as tools that execute through the real Nest request pipeline.

A proxy server that bridges AI agents and external APIs by dynamically translating OpenAPI specifications into standardized MCP tools, enabling seamless interaction without custom integration code.

A simple MCP server for interacting with OpenAI assistants. This server allows other tools (like Claude Desktop) to create and interact with OpenAI assistants through the Model Context Protocol.

A Model Context Protocol (MCP) server that lets you seamlessly use OpenAI's models right from Claude.

🤖 Taskade MCP · Official MCP server and OpenAPI to MCP codegen. Build AI agent tools from any OpenAPI API and connect to Claude, Cursor, and more.

Projects an Agent Surface (deterministic call graph) for any OpenAPI, enabling LLM agents to make correct, chain-of-calls interactions without guessing.

Enables AI agents to discover and call existing OpenAPI services through governed tools, enforcing policy, approval for destructive operations, and credential handling before requests execute.

Enables AI agents to connect to any API by loading OpenAPI, GraphQL, gRPC, or SOAP specs, with a built-in catalog of 2500+ public APIs, supporting secure execution, response filtering, chaining, and parallel calls.

Enables creating and running production-grade Model Context Protocol servers for REST APIs, GraphQL endpoints, OpenAPI specs, Google Cloud services, and custom Python logic from a declarative JSON blueprint, with built-in authentication, response shaping, multiple transports, and one-command Cloud Run deployment.

An autonomous Go MCP server that dynamically imports OpenAPI, GraphQL, and AsyncAPI specs and exposes them as tools to agents with self-learning and auto-documentation.

Exposes local stdio MCP servers to chat AIs through temporary public URLs, providing both a Streamable HTTP gateway and a REST+OpenAPI bridge for integration with ChatGPT and other clients.

Converts any REST API into MCP-compatible tools instantly by providing an OpenAPI/Swagger spec, enabling seamless integration with AI agents.

An OpenAPI-driven MCP agent hub that dynamically generates MCP tools from Swagger/OpenAPI specs, enabling conversational interaction with backend APIs through natural language.

Universal MCP router and gateway that bridges LLM agents to OpenAPI, GraphQL, and AWS Lambda services with ISO/IEC 42001 AI governance, RBAC, PII redaction, semantic tool routing, and a web dashboard.

Enables AI agents to operate a real, private, local Docker-based computer with durable files, terminal access, web research, and a persistent browser or desktop. It supports multiple agent clients via MCP or OpenAPI, with live viewing and human takeover.

An integration layer for AI agents that provides a catalog of tools from various sources (OpenAPI, GraphQL, MCP, etc.) and can be used as an MCP server for compatible agents.

Acts as a bridge between standard REST/OpenAPI web APIs and the Model Context Protocol, dynamically converting REST endpoints into MCP tools for LLM clients like Cursor, Claude Desktop, and n8n.

Turns any REST/OpenAPI, SOAP, GraphQL, OData, SQL, MongoDB or existing MCP system into MCP tools for Claude, ChatGPT and Copilot without writing an MCP server, shipping 474 ready-made connectors with runtime tool registration, field filtering and role-based access control.

Enables autonomous frontend and backend AI agents to asynchronously coordinate development by registering and discovering OpenAPI-compatible route contracts, tracking integration issues, and managing route groups for efficient LLM context.