Discover verified Model Context Protocol servers to extend your AI assistants. Install configs for Claude Code, Cursor, VS Code, and more.
Browse 260 MCP servers across databases, communication platforms, cloud providers, DevOps pipelines, analytics services, and version control systems. Each server entry includes verified compatibility badges, GitHub star counts, transport type, install commands, and security notes. The Model Context Protocol (MCP) is an open standard that lets AI assistants like Claude, Cursor, and GitHub Copilot interact with external tools and data sources through a unified interface — find the right server to connect your AI workflow to the services you already use.
Access the Hugging Face ecosystem directly from your AI coding assistant. Search models, datasets, and Spaces; read model cards and documentation; browse dataset previews; and manage your HF repositories. The server provides tools for discovering the right model for your task, understanding model capabilities through cards, and integrating models into your code. It also supports running inference on hosted models and managing your model hub repositories — push models, update READMEs, and manage access tokens all from your editor.
Bridge GitHub Copilot capabilities with MCP for code completions, chat, and workspace intelligence.
Run and manage local LLMs through Ollama, supporting model pulling, inference, and conversation management.
Leverage Groq's ultra-fast LPU inference engine from your AI coding assistant for tasks requiring instant responses. Groq's custom hardware delivers inference speeds 10-18x faster than GPU-based alternatives, making it ideal for rapid code analysis, quick translations, and interactive reasoning tasks. This server provides access to Llama, Mixtral, and Gemma models running on Groq hardware with sub-second latency. Use it when speed matters more than maximum capability — rapid brainstorming, quick code explanations, or batch processing many small requests.
Bridge LangChain chains, agents, and tools with the Model Context Protocol for composable AI workflows.
Access Google Gemini models for text generation, multimodal understanding, and code generation through MCP.
Connect LlamaIndex data frameworks with MCP for document indexing, querying, and RAG pipelines.
Integrate DeepSeek's powerful code and reasoning models into your MCP-compatible AI workflow. This server provides access to DeepSeek-V3 and DeepSeek-R1 models for specialized tasks like complex code generation, mathematical reasoning, and multi-step problem solving. Use it as a secondary reasoning engine alongside your primary AI assistant — delegate complex algorithmic problems to DeepSeek-R1's chain-of-thought, or use DeepSeek-Coder for language-specific code generation. Supports streaming, temperature control, and context length configuration.
