"Exposing an MCP server via a public tunnel with mcp-proxy" matching MCP servers:

Middleware that converts a serverless handler with OpenAPI spec into an MCP endpoint following stateless MCP principles.

An MCP server that gives AI coding agents real-time access to the public-apis dataset, enabling search, live probing, and code snippet generation for 1,500+ free public APIs.

Implements a secure MCP server with API Key and JWT authentication, providing tools like echo, login, secure_action, and admin_action. Includes MCP Inspector integration for testing and debugging.

Enables AI assistants to interact with Dev Proxy for creating configurations, finding documentation, and discovering best practices via the MCP standard.

Transforms OpenAPI specs into an MCP server, enabling dynamic API interaction through natural language with automatic authentication and endpoint discovery.

Enables MCP clients to verify publisher acceptance fixtures over Streamable HTTP by exposing an identify tool that returns the fixture name, version, transport, and supplied message.

Enables searching and reading published Hoppscotch API documentation, inspecting endpoint details, and retrieving saved response examples through MCP tools.

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.

An MCP Server that enables interaction with Google's Public Certificate Authority API for managing publicly trusted TLS certificates via natural language.

An MCP server that indexes the public-apis catalogue, allowing LLMs to search and filter over 1,400 public APIs by category, authentication type, and technical requirements. It facilitates precise API discovery for developers by providing tools to query specific features like HTTPS support and CORS compatibility.

An MCP (Model-Controller-Processor) server for accessing League of Legends client data. This server provides a collection of tools that communicate with the League of Legends Live Client Data API to retrieve in-game data.

Provides AI assistants with access to OpenAPI specifications, enabling API discovery, schema retrieval, and direct API execution with support for OAuth 2.0 and other authentication methods.

An open standard server implementation that enables AI assistants to directly access APIs and services through Model Context Protocol, built using Cloudflare Workers for scalability.

A Python-based MCP server that integrates OpenAPI-described REST APIs into MCP workflows, enabling dynamic exposure of API endpoints as MCP tools.

A high-performance local and public webhook inspector for testing SSRF, APIs, and out-of-band interactions with Cloudflare Quick Tunnel, dynamic mocks, and callback polling for AI agents.

Provides Multi-Agent Conversation Protocol interface for the SoundCloud API, enabling AI agents to interact with SoundCloud's music streaming platform through natural language.

Lets AI assistants safely explore a Matrix42 instance by discovering web services and the data model, running validated ASQL queries, searching the service desk, and previewing ticket actions — read-only by default and without exposing credentials.

Enables agents to interact with the Logflare API by writing JavaScript functions that run in a Vercel Sandbox, using three tools: search, execute_read, and execute_write.

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.

Optimizes REST API calls for AI agents by returning compact schemas instead of full responses, allowing agents to fetch only needed fields via jq masks, reducing token consumption by up to 50x.