Explore our complete collection of MCP servers to connect AI to your favorite tools.
Provides AI assistants with comprehensive access to shadcn/ui v4 components, blocks, demos, and metadata via the Model Context Protocol.
Enables interaction with an Obsidian vault via the Obsidian Local REST API plugin.
Intelligently routes large language model requests to the most suitable models and tools for optimized inference, enhanced security, and improved accuracy.
Enhances AI model reasoning by making it recursively evaluate and refine its responses through self-argumentation.
Connects Supabase projects to AI assistants via the Model Context Protocol (MCP).
Converts various file types and web content into Markdown format.
Exposes MCP stdio-based servers over SSE or WebSockets, enabling remote access and integration.
Accelerate the development and research of complex Retrieval-Augmented Generation (RAG) systems with a low-code, modular framework.
Provides a catalog of official Microsoft MCP server implementations for AI-powered data access and tool integration.
Create and configure development containers from devcontainer.json files, providing isolated development environments.
Build a persistent semantic graph from conversations with AI assistants using standard Markdown files.
Facilitates communication between MCP clients and servers by bridging different transport protocols like stdio and SSE.
Connects Ableton Live to Claude AI, enabling prompt-assisted music production and session manipulation.
Integrates advanced AI capabilities directly into Zotero, enabling users to chat with PDFs, extract detailed insights, and streamline research workflows.
Crawls, extracts, and organizes technical documentation into an LLM-ready format, streamlining research and implementation for developers.
Provides a Gradio web interface for locally running various Llama 2 models on GPU or CPU across different operating systems.
Automates data integration via a stable, self-healing SDK, providing automated schema-drift detection, retries, and remappings to maintain continuous data flow without connector maintenance or rewrites.
Transforms existing API servers and services into Model Context Protocol (MCP) compliant endpoints with zero code changes.
Enables AI assistants to search and analyze arXiv papers through a simple Model Context Protocol interface.
Provides a Model Context Protocol (MCP) server for accessing and interacting with Grafana instances and their surrounding ecosystem.
Automates software development task management for AI agents, facilitating chain-of-thought reasoning and code consistency.
Empowers AI agents and coding assistants with web crawling and retrieval-augmented generation (RAG) capabilities.
Streamline LLM Agent development with an all-in-one library offering tools, prompts, frameworks, and models.
Integrates Perplexity's real-time web search, reasoning, and research capabilities into AI assistants.
Provides n8n workflow templates for building various AI agents.
Create custom chatbots with personalized knowledge bases using advanced language models.
Enables protocol-level interaction with a Model Context Provider server, allowing users to send commands, query data, and interact with server resources.
Serve, benchmark, and deploy large language models (LLMs) on various hardware platforms.
Provides a collection of example UI components and Model Context Protocol (MCP) servers to demonstrate building rich applications for ChatGPT.
Exposes comprehensive browser functions via the Model Context Protocol, enabling external applications and AI models to programmatically interact with a web browser.
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