Model Context Protocol (MCP) Server to connect your AI with any MediaWiki
Algorand Local Model Context Protocol (Server & Client)
BioMCP: Biomedical Model Context Protocol
"primitive" RAG-like web search model context protocol (MCP) server that runs locally. ✨ no APIs ✨
Model Context Protocol (MCP) Server for Graphlit Platform
Model Context Protocol server that integrates AgentQL's data extraction capabilities.
Model Context Protocol For R
A Model Context Protocol for checking domain name registration status in bulk.

A curated list of Model Context Protocol (MCP) servers
The implementation of Model Context Protocol (MCP) server for VictoriaMetrics

🪐 🔧 Model Context Protocol (MCP) Server for Jupyter.

BitDive Model Context Protocol (MCP) server. The Autonomous Quality Loop for AI agents. Provides real runtime context, before/after trace comparison, and integration testing workflows.
An official Qdrant Model Context Protocol (MCP) server implementation
A Model Context Protocol server that provides access to Shodan API functionality
Model Context Protocol (MCP) server for AI-powered Fastly CDN management.
A Model Context Protocol (MCP) server enabling AI assistants to interact with Outline documentation services.
A Model Context Protocol (MCP) for analyzing and querying GitHub repositories using the GitHub Chat API.
Model Context Protocol (MCP) server for Opik, the open-source LLM observability and evaluation platform, built by Comet. Read traces, log scores, and manage prompts from Claude Code, Cursor, or VS Code.
Browser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser
A unified Model Context Protocol server implementation that aggregates multiple MCP servers into one.
A Model Context Protocol (MCP) server that provides access to your TeslaMate database, allowing AI assistants to query Tesla vehicle data and analytics.

Model Context Protocol Server for Mobile Automation and Scraping (iOS, Android, Emulators, Simulators and Real Devices)
Model Context Protocol (MCP) server for mapping clinical terminology to Observational Medical Outcomes Partnership (OMOP) concepts using Large Language Models
A Model Context Protocol (MCP) server that retrieves information from Wikipedia to provide context to LLMs.