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

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

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.

A read-only Reddit MCP server that fetches threads, comments, and subreddits from the Arctic Shift archive over HTTP, requiring no Reddit account or API key.

Enables AI agents to query a device catalog and search SDK method references through read-only MCP tools, allowing natural-language questions about device capabilities and API usage.

MCP server for Wiki.js that exposes 29 tools for managing pages, comments, tags, assets, users, navigation, and more via HTTP/SSE with built-in mutation safety.

Enables Large Language Models to access real-time data on Vilnius public transport stops and routes through the Model Context Protocol.

A Python MCP server for indexing projects using embeddings, providing semantic search to help AI agents navigate codebases.

A basic Model Context Protocol server that provides static information and facts about cats, dogs, and birds. It enables users to retrieve general animal data through Claude Desktop using either local stdio or HTTP transport.

A Multi-Agent Conversation Protocol server that enables interaction with Rajasthan Transport Department's API, allowing access to vehicle and driver-related services through natural language.

An MCP server that provides access to PubMed articles through the Entrez API.

An MCP server that provides access to arXiv papers through their API.

A Model Context Protocol (MCP) server for accessing Fathom AI API endpoints (meetings, recordings, transcripts, summaries, teams, team members) via GET operations.

Enables Google search with advanced options (date, language, country, safe search) and webpage content extraction via the Model Context Protocol.

A cross-platform MCP server that provides weather forecasts by coordinates, location name, or IP address without requiring API keys. It leverages Open Meteo and OpenStreetMap to deliver fast, single-query weather lookups.

Provides AI assistants with persistent memory across sessions using local SQLite and keyword search, allowing storage and retrieval of user preferences, project context, and decisions.

Personal memory MCP server backed by SQLite FTS5 BM25 search with temporal reranking.

Exposes LLM Wiki desktop capabilities via Streamable HTTP transport for MCP clients, enabling project listing, file reading, search, and knowledge graph queries through a secure API.

Self-contained SearXNG MCP server in Docker. Aggregates 200+ search engines across 30+ categories with multi-page fanout, autocomplete, and engine discovery. Dual transport (HTTP + stdio), API key auth, and built-in Web UI reverse proxy.

A basic MCP server template that can be integrated with Cursor to enable AI tools like weather information retrieval using Claude-3.7-sonnet model.

A MCP server for academic literature retrieval, aggregating multiple data sources like arXiv, Crossref, OpenAlex, PubMed, and Semantic Scholar to provide search, details, citations, trends, and recommendations.