"Overview of HTTP (HyperText Transfer Protocol)" matching MCP servers:

A bridge server that converts stdio protocol to streamable-http protocol, allowing clients to interact with MCP services over HTTP.

HTTP-4-MCP configuration tool allows you to easily convert HTTP API into MCP tool, writing the code written. Through simple interface operation, you can quickly configure an mcp-server.

A Docker-based deployment that wraps the Gemini MCP server with supergateway to expose its tool capabilities over Streamable HTTP. It enables users to perform image-editing workflows and interact with the Google Gemini API using a standardized web-accessible endpoint.

A simple MCP server implementation that demonstrates streaming capabilities with tools for greetings and notifications, accessible through an interactive command-line client.

Enables AI assistants to interact with Square's Connect API through the Model Context Protocol standard, allowing for operations like managing customers, processing payments, and handling inventory.

Enables interaction with any REST API through token or login authentication, with automatic Swagger/OpenAPI documentation integration for endpoint discovery and comprehensive HTTP request support.

Enables creating Spotify playlists based on text descriptions by connecting Cursor editor to Spotify's API through OAuth authentication.

A demonstration MCP server that provides example tools for weather queries, time retrieval, and request handling, along with advice prompts. Supports both HTTP and stdio modes for testing MCP client integrations.

A lightweight server implementation that exposes Python functions as discoverable tools via HTTP using the Machine-to-Machine Communication Protocol (MCP). Enables remote execution of Python functions through a JSON-RPC interface with async support and type safety.

Enables AI agents to discover, validate, and call actions from web apps through the Model Context Protocol, using a manifest of structured, permissioned actions.

Enables the creation and deployment of API-based MCP tools for Cursor Agent using Cloudflare Workers, streamlining development and integration of custom functionalities.

Enables AI-powered task management in OmniFocus with support for project reviews, planned dates, repeating tasks, custom perspectives, hierarchical subtasks, and advanced filtering. Perfect for Claude AI integration with comprehensive CRUD operations for tasks, projects, and folders.

A transport wrapper that exposes Contentstack MCP tools over HTTP instead of stdio to enable remote access and horizontal scaling. It acts as a proxy for the Contentstack MCP package, allowing browser-based and networked clients to interact with various Contentstack APIs.

Enables integration with Xentral ERP system through a Model Context Protocol server, providing 100+ tools for managing daily ERP workflows like customer searches, orders, and other business operations.

Enables AI agents to discover and interact with businesses by reading structured NOD manifests. Provides tools to look up business capabilities and check if specific actions like ordering food or booking appointments are supported.

Enables MCP clients like Claude Desktop to interact with ANP (Agent Network Protocol) agents through three core tools: authentication setup, document fetching, and OpenRPC method invocation. Converts ANP's crawler-style interaction paradigm into MCP-compatible tools for seamless agent communication.

A universal MCP server that exposes all UTCP-registered tools to MCP clients while providing a web interface for tool management.

A Model Context Protocol server that provides tools to manage Keycloak users and realms, allowing you to create and delete users, list available realms, and view users in specific realms.

A client library that connects AI agents to Minecraft servers, providing full game control with 30 verified skills for common tasks including movement, combat, crafting, and building.

A template for deploying Model Context Protocol servers as Next.js routes using the mcp-handler adapter, enabling easy integration of MCP tools, prompts, and resources into any Next.js application.