Provides tools to store, retrieve, and semantically search coding preferences via an SSE endpoint for integration with MCP clients.

mcp-server-data-exploration is an MCP server designed for autonomous data exploration on CSV-based datasets. It acts as a personal Data Scientist assistant, providing intelligent insights with minimal effort.

spotify-mcp is an MCP (Model Context Protocol) project that connects Large Language Models (LLMs) like Claude with Spotify, allowing users to control Spotify playback and access music information through natural language commands.

iterm-mcp is a Model Context Protocol (MCP) server that enables Large Language Models (LLMs) to interact with and control your iTerm2 terminal session on macOS, acting as a bridge for AI models to execute commands, read output, and send control characters within the terminal environment.

An MCP proxy server that aggregates and serves multiple MCP resource servers through a single HTTP server.

Wren Engine is a semantic engine designed for Model Context Protocol (MCP) clients and AI agents, enabling accurate and context-aware access to enterprise data.

A powerful and flexible Kubernetes Model Context Protocol (MCP) server implementation with support for Kubernetes and OpenShift.

homeassistant-mcp is a Model Context Protocol (MCP) server that bridges Home Assistant with Language Learning Models (LLMs). It enables natural language control and monitoring of smart home devices, providing a comprehensive API for managing your entire Home Assistant ecosystem.

Provides a Golang‑based server that enables interaction with Kubernetes clusters via prompts, allowing listing of contexts, namespaces, resources, nodes, pods, events, logs, and executing commands inside pods.

mcp-hfspace acts as a server that seamlessly integrates Hugging Face Spaces with Claude Desktop. It enables Claude Desktop to leverage a wide array of open-source AI models, including image, audio, and text models, hosted on Hugging Face Spaces.

Deploy applications to Google Cloud Run using AI‑driven commands and tool integration.

mcp-pandoc is a Model Context Protocol (MCP) server designed for seamless document format conversion using Pandoc, supporting a wide range of formats like Markdown, HTML, PDF, DOCX, and more.

A server that integrates Linear's project management system with the Model Context Protocol (MCP) to allow LLMs to interact with Linear.

applescript-mcp is a Model Context Protocol (MCP) server that enables you to execute AppleScript code to control your Mac, offering full control over various Mac applications and data.

EVM MCP Server is a comprehensive Model Context Protocol (MCP) server designed to provide blockchain services across multiple EVM-compatible networks. It enables AI agents to interact with various EVM chains through a unified interface, simplifying blockchain integration and data analysis.

ableton-live-mcp-server is a Python-based server that implements the Model Context Protocol (MCP) to enable communication between Large Language Models (LLMs) and Ableton Live. It provides a robust interface for LLMs to control various aspects of Ableton Live, facilitating AI-powered music production.

Facilitates interactive communication between LLMs and users on the local machine, offering tools for user prompts, OS notifications, and persistent command‑line chat sessions.

An MCP (Model Context Protocol) server providing comprehensive Xcode integration for AI assistants, enabling intelligent code assistance, file operations, project management, and automated development tasks.

An MCP (Model Context Protocol) server implementation that integrates Claude with Todoist, enabling natural language task management.

clickup-mcp-server is an AI-powered Model Context Protocol (MCP) server that integrates ClickUp project management with AI applications. It enables AI agents to interact with ClickUp tasks and workspace elements through a standardized protocol, facilitating natural language-based workspace management and automation.

An MCP (Model Context Protocol) server implementation for Microsoft Teams integration, providing capabilities to read messages, create messages, reply to messages, mention members.

Provides a secure sandbox environment for executing code within Docker containers, enabling AI applications to run code safely and in isolation.

Injects relevant code, documentation, and other project files into Large Language Model chat interfaces via clipboard shortcuts or direct Model Context Protocol calls, leveraging .gitignore patterns for smart file selection and rule‑based profiles for task‑specific customization.

A Model Context Protocol (MCP) server implementation for YouTube, enabling AI language models to interact with YouTube content through a standardized interface.