"OpenAI MCP Server Setup for n8n" matching MCP servers:

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.

MCP server for Akamai APIs. 198 tools covering Property Manager, Edge DNS, CPS, WAF, and reporting. Built with TypeScript, featuring modular architecture, comprehensive testing, and multi-account support. Make Akamai accessible to AI assistants.

A Model Context Protocol server that enables LLMs to explore and interact with API specifications by providing tools for loading, browsing, and getting detailed information about API endpoints.

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.

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

A server that implements the Model Context Protocol (MCP) with StreamableHTTP transport, enabling standardized interaction with model services through a RESTful API interface.

Converts OpenAPI documents into MCP services with generated tools, prompts, and resources, supporting HTTP and STDIO transports plus an admin Web UI.

A server that enables Large Language Models to discover and interact with REST APIs defined by OpenAPI specifications through the Model Context Protocol.

Exposes REST API endpoints defined by OpenAPI specifications as MCP tools, enabling LLMs to discover and interact with those APIs through MCP.

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.

Model Context Protocol server that enables API test automation across various AI hosts (Claude, OpenAI, custom) using Postman Collections.

Exposes OpenAPI endpoints as MCP tools, enabling LLMs to discover and interact with REST APIs through the MCP protocol.

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

Dynamically creates an MCP server from any OpenAPI schema, enabling seamless integration with tools like Prompteus and Claude.

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

Enables LLMs to make HTTP requests using structured cURL commands with support for multiple authentication methods, custom headers, and comprehensive request/response control.

Enables AI agents to connect to any GraphQL endpoint, introspect schemas, and execute queries or mutations through auto-generated tools.

Parses Swagger 2.0 and OpenAPI 3.x specifications, exposing API endpoints, schemas, and authentication through MCP tools with local caching to reduce token usage.

Enables load testing and validation of an order API by generating synthetic orders, previewing them, and sending batches while enforcing guardrails like bounded counts and fixed seeds for replay.