"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.

Enables managing local Markdown notes by creating, viewing, listing, and searching notes and their contents through MCP tools.

A lightweight HTTP transport module that provides a simple interface for sending and receiving MCP (Message Control Protocol) messages over HTTP.

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.

Provides tools for AI agents to query live public transport data for GZM (Silesian Metropolis) including vehicle positions, trip updates, service alerts, and next arrivals.

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.

MCP server providing real-time public transport data for Tomsk, including routes, schedules, stops with lazy OSM enrichment, nearby stop search, and a routing prompt for LLMs.

Enables LLMs to make HTTP requests with OAuth2, session cookies, retry logic, and cURL command generation, while providing security features like SSRF protection and TLS enforcement.

Enables AI assistants to access Swiss public transport data including journey planning, real-time departures, disruptions, occupancy forecasts, ticket prices, and train formations via a standardized MCP interface.

Provides a generic HTTP client tool allowing AI agents to make arbitrary HTTP requests from their environment, with support for environment-variable placeholders for secrets.

Provides Estonian public transport timetables, trip planning, stop search, and real-time vehicle tracking.

Enables fetching HTTP resources through the MCP protocol.

Enables a single MCP client to hold one text conversation with one pipecat bot over streamable HTTP, providing start and chat tools.

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

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.

Enables AI agents to access real-time public transport data for Moscow and the Moscow region, aggregating and reconciling information from multiple sources. Provides tools for finding stops, live arrival boards, vehicle tracking, route details, and ETA calculations.

A high-performance WebSocket/SSE transport layer and gateway for Anthropic's MCP, enabling real-time, scalable AI integrations with LLM agents like Claude.

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.

Enables journey planning, live departures, service alerts, and commuter car-park occupancy for Sydney and New South Wales across trains, metro, buses, ferries, and light rail, accessible via natural language queries.