mcp-azure-devops is a Model Context Protocol (MCP) server that enables AI assistants to interact with Azure DevOps services. It acts as a bridge between natural language interactions and the Azure DevOps REST API, allowing AI assistants to query and manage work items, projects, and teams within Azure DevOps.

mcp-outline is a Model Context Protocol (MCP) server that enables AI assistants to interact with Outline documentation services, bridging natural language interactions with Outline's document management capabilities.

A Model Context Protocol (MCP) server that enables natural language queries to databases, powered by XiYanSQL as the text-to-SQL LLM.

dify-mcp-server is a Model Context Protocol (MCP) server that integrates Dify workflows. It enables MCP-compatible clients to invoke and utilize Dify workflows as tools.

A Model Context Protocol (MCP) server for converting Markdown content to interactive mindmaps.

ClaudePost is a Model Context Protocol (MCP) server that integrates with Claude Desktop to provide a seamless email management interface. It allows users to interact with their emails (search, read, compose, send) using natural language conversations directly within Claude.

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

mcp-netbird is a Model Context Protocol (MCP) server for Netbird, enabling Large Language Models (LLMs) to interact with and retrieve information about Netbird network configurations and status.

aws-cost-explorer-mcp-server is a tool for analyzing AWS spend data, including Amazon Bedrock usage, through natural language queries. It helps users understand and optimize their cloud costs by providing detailed breakdowns and interactive analysis.

An MCP server that provides read-only access to MariaDB, enabling secure and controlled database interactions within the Model Context Protocol (MCP) framework.

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

ms-fabric-mcp is a Python-based server that implements the Model Context Protocol (MCP) to facilitate interaction with Microsoft Fabric APIs. It integrates Large Language Models (LLMs) to enhance PySpark notebook development, testing, and optimization within the Microsoft Fabric environment.

Exposes Fabric patterns as tools for AI coding agents and assistants, enabling pattern execution directly within AI‑driven tasks and augmenting their capabilities.

The mcp-google-search is a Model Context Protocol (MCP) server that leverages the Google Custom Search API to provide web search functionality and extract webpage content. It is designed to assist applications in integrating Google search results and retrieving information from webpages.

A Model Context Protocol (MCP) server that provides AI-powered integration with TeamRetro’s platform, enabling seamless interaction with team management, retrospectives, health checks, and other TeamRetro features through standardized MCP tools.

mcp-scholarly is a MCP server designed to facilitate the search for accurate academic articles, initially supporting arXiv and with plans to integrate more scholarly vendors.

mcp-server integrates MSSQL databases with configurable access controls and schema inspection.

Room MCP is a command-line tool that enables AI clients to utilize the Room protocol for peer-to-peer collaboration with other AI agents in virtual rooms. It facilitates multi-agent interactions to collectively achieve goals.

AbletonMCP is an integration that connects Ableton Live with Claude AI, enabling prompt-assisted music production and live session manipulation through natural language commands.

BlenderMCP integrates Blender with Claude AI via the Model Context Protocol (MCP), enabling AI-driven 3D scene creation, modeling, and manipulation. This project allows users to control Blender directly through natural language prompts, streamlining the 3D design workflow.

A Model Context Protocol (MCP) server designed to integrate with the TickTick task management platform, enabling intelligent context-aware task operations and automation.

Lspace is an open-source API backend and server that implements the Model Context Protocol (MCP), designed to eliminate context-switching friction by capturing insights from AI sessions and making them available across various tools, turning scattered conversations into persistent, searchable knowledge.

mcp-server-bigquery is a Python-based Model Context Protocol (MCP) server that enables large language models (LLMs) to interact with Google BigQuery. It allows LLMs to inspect database schemas and execute SQL queries on BigQuery, facilitating natural language database interaction and automated data analysis.

eechat is a powerful, open-source, and cross-platform desktop AI chat application designed for local deployment. It prioritizes security, privacy, and efficiency, allowing users to have personalized AI conversations without relying on continuous internet connectivity after initial setup.

Ghost-MCP is a Model Context Protocol (MCP) server that enables interaction with Ghost CMS through Large Language Model (LLM) interfaces like Claude. It allows users to manage their Ghost blog by simply using natural language commands via an LLM.

amazon-ads-mcp-server is a server that facilitates interaction with Amazon Advertising data. It allows users to connect their Amazon Advertising accounts to access various advertising resources and reports, enabling automated ad management, custom reporting, and integration with AI/ML models.