Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors
Production ready MCP server with real-time search, extract, map & crawl.
Model Context Protocol (MCP) Server for Apify's Actors
A Model Context Protocol (MCP) server that acts as a proxy to integrate JetBrains IDEs (IntelliJ, PyCharm, WebStorm, Android Studio) with MCP clients, enabling AI tools to interact with the IDE's context.
A lightweight Model Context Protocol (MCP) server from Microsoft's MarkItDown project, providing STDIO, Streamable HTTP, and SSE transports to convert various URIs (http:, https:, file:, data:) into Markdown.
🦀 Prevents outdated Rust code suggestions from AI assistants. This MCP server fetches current crate docs, uses embeddings/LLMs, and provides accurate context via a tool call.
The Microsoft Learn MCP Server is a cloud-hosted service that enables AI agents like GitHub Copilot to access trusted and up-to-date information directly from Microsoft's official documentation, offering high-quality content retrieval, semantic understanding, and real-time updates.
Phoenix is an open-source AI observability platform for experimentation, evaluation, and troubleshooting of LLM applications. Its MCP server provides a unified interface to Phoenix's capabilities, enabling tracing, evaluation, and prompt management.
Atlassian's official remote MCP server securely connects enterprise knowledge from Jira and Confluence to external AI tools, enabling AI-powered workflows with rich context.
BlenderMCP connects Blender to Claude AI through the Model Context Protocol (MCP), allowing Claude to directly interact with and control Blender. This integration enables prompt assisted 3D modeling, scene creation, and manipulation.
The official Model Context Protocol (MCP) server for Homebrew, providing context about installed packages and system environment.
The HubSpot MCP server securely connects MCP-compatible agent clients to your HubSpot data, enabling AI agents to interact with CRM information, fetch real-time data, and trigger predefined actions.
The Nx MCP server enhances LLMs by providing rich workspace metadata, enabling them to understand monorepo architecture and make context-aware decisions for improved AI-powered development.
TomTom Model Context Protocol Server provides TomTom's comprehensive mapping, navigation, and location intelligence services to AI agents, enabling them to access real-time road data, optimized routing, and traffic information.
Linear's MCP server provides a standardized interface for AI models and agents to securely access and manage Linear data, including issues, projects, and comments.
Microsoft Dataverse MCP Server enables seamless integration between LLM applications and Dataverse, providing intelligent access to tables, records, and knowledge sources, standardizing AI model interaction with Dataverse data.
Tavily is a specialized search engine API designed for Large Language Models (LLMs) and AI agents, providing real-time, accurate, and unbiased information to enhance AI applications with web access and reduce hallucinations.
An open-source framework for augmenting humans using AI, providing modular AI prompts (Patterns) via a command-line interface and a REST API.
An MCP server for accessing and querying Amazon Bedrock Knowledge Bases, enabling natural language retrieval, data source filtering, and result reranking.
A core MCP server by awslabs that provides planning and orchestration capabilities, including prompt understanding and translation to AWS services, and serves as a starting point for other awslabs MCP servers.
A Node.js server implementing the Model Context Protocol (MCP) to enable AI models to perform various filesystem operations, including reading, writing, creating, listing, moving, searching files and directories, and retrieving file metadata, with dynamic access control via MCP Roots.
Provides a collection of Model Context Protocol (MCP) server implementations, including tools for Azure DevOps, Git, Kusto, and general search, designed to extend Roo Code capabilities for AI-assisted coding.
A Model Context Protocol (MCP) server that provides persistent memory using a local knowledge graph, enabling AI models like Claude to remember user information across chats.
Knowledge Engine for AI Agent Memory in 6 lines of code
The Klaviyo Model Context Protocol (MCP) server seamlessly integrates with Klaviyo’s APIs, enabling AI clients to interact with your Klaviyo data.
The Rill Model Context Protocol (MCP) server exposes Rill's most essential APIs to LLMs, designed primarily for data analysts to consume Rill metrics views for accurate and consistent analytics.
Ragie is a fully managed RAG-as-a-Service platform offering advanced multimodal RAG capabilities, including structured chunking, multi-layered indexing, and LLM-aware optimizations, designed for developers to build production-grade generative AI applications.
ActionKit by Paragon provides a single API/MCP endpoint for AI agents to access and execute over 1000 third-party integration actions, handling authentication and exposing dynamic tools at query-time.
An AI-powered Model Context Protocol (MCP) server from Canva, designed to provide development assistance for Canva apps and integrations.
A Model Context Protocol (MCP) server for LeetCode that provides access to problems, user data, and contest information through GraphQL
