"Simple MCP example using HTTP transport" matching MCP servers:

Demonstrates how to create a simple MCP server with streamable HTTP transport, featuring tools, prompts, and resources.

A basic example MCP server built with the FastMCP framework for demonstration and learning purposes. Provides a starting point for developers to understand MCP server implementation.

stateful MCP server with Redis sessions, event sourcing, and horizontal scaling

Demonstrates building an MCP server with Python, exposing tools like web search (Tavily) and basic utilities over streamable HTTP for AI assistants like Cursor.

A reference implementation demonstrating proper MCP server patterns with HTTP transport, featuring session management, progress notifications, and example tools for testing server functionality. Serves as a clean template for building MCP servers with streamable responses and comprehensive error handling.

A reference implementation of a Model Context Protocol server that demonstrates core primitives including tools, resources, and prompts. It enables users to perform basic arithmetic operations and manage notes through a simple storage system.

Enables MCP clients to connect over HTTP/SSE, call simple echo, arithmetic, uppercasing, and time tools, and run asynchronous tasks with approval elicitations via the Tasks extension.

A simple MCP server implementation in Python using FastMCP and FastAPI, providing streamable HTTP transport with optional OAuth authorization for tools like echo and math.

Mock HTTP server implementing MCP (Model Context Protocol) with streamable HTTP transport, health endpoint, and example tools like echo and time.

Provides an HTTP API for Claude Code using a native MCP channel to enable stable message exchange without terminal screen-scraping. It allows users to programmatically send messages, retrieve conversation history, and stream real-time events via standard web protocols.

A simple HTTP-based MCP server that provides demo tools (get_test_string, echo, check_maintenance), greeting prompts, and test resources, with optional OAuth 2.1 support.

A basic example of developing and running serverless MCP using Netlify Functions.

A basic example of a Model Context Protocol (MCP) server deployed as a Netlify Function, demonstrating how to serve MCP endpoints over HTTP.

A step-by-step guide and complete working example for building and running an MCP server with streamable HTTP transport using Python, mcp, and FastAPI, enabling AI assistants to access tools over HTTP.

A simple MCP server in Python, configurable via environment variables and database, designed for integration with Claude Desktop.

A minimal MCP server that exposes a single tool to query local hardware information (OS, CPU, memory, architecture).

An educational implementation of a Model Context Protocol server that demonstrates how to build a functional MCP server for integrating with various LLM clients like Claude Desktop.

A minimal MCP server implementation demonstrating basic tool integration with example functions like greetings, version info, and system information. Supports both HTTP and stdio transports for connecting AI clients.

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.

A foundation for creating custom Model Context Protocol servers that can integrate with AI systems, providing a simple BMI calculator tool as an example implementation.