Google Workspace MCP Server implements the Model Context Protocol to enable secure integration between Google Workspace services—such as Gmail, Calendar, and Drive—and any MCP-compatible AI client. It allows users to read, search, create, update, and delete Google Calendar events, emails, and Drive files directly through an AI agent interface. The tool ensures authentication via Google OAuth and provides a seamless setup process for both server and client sides. This makes it easier for AI-powered workflows to interact with Google Workspace data securely and contextually.

• ⭐ 20
• MCP
• giuseppe-coco/Google-Workspace-MCP-Server

FastMCP LaTeX Server is a microservice designed to render raw LaTeX or Jinja2 template documents and compile them into PDF files. It exposes a suite of five MCP-compatible tools for document rendering, template management, and artifact handling. The service can be run locally or integrated seamlessly with Claude Desktop, supporting both stdin/stdout MCP communication and HTTP-based transport. Output artifacts, including .tex and .pdf files, are generated in a dedicated directory, and a variety of ready-made templates are provided for easy customization.

• ⭐ 4
• MCP
• devroopsaha744/TexMCP

Kanboard MCP Server is a Go-based server implementing the Model Context Protocol (MCP) for integrating AI assistants with the Kanboard project management system. It enables users to manage projects, tasks, users, and workflows in Kanboard directly via natural language commands through compatible AI tools. With built-in support for secure authentication and high performance, it facilitates streamlined project operations between Kanboard and AI-powered clients like Cursor or Claude Desktop. The server is configurable and designed for compatibility with MCP standards.

• ⭐ 15
• MCP
• bivex/kanboard-mcp

TOD is a command-line tool designed for OneDev 13+ that enhances development workflows with CI/CD job execution against local changes or specific branches and tags. It features a comprehensive Model Context Protocol (MCP) server for integrating and communicating with AI assistants, allowing intelligent and natural interactions with OneDev. The tool also supports pull request management and build specification migrations, making it a versatile utility for developers seeking automation and AI-driven enhancements.

• ⭐ 3
• MCP
• theonedev/tod

Implements the Model Context Protocol (MCP) to enable AI assistants to securely and efficiently interact with Azure DevOps resources. Provides a standardized bridge for managing projects, work items, repositories, pull requests, and pipelines through natural language interfaces. Supports modular authentication and a feature-based architecture for scalability and integration. Facilitates seamless integration with AI tools such as Claude Desktop and Cursor AI.

• ⭐ 306
• MCP
• Tiberriver256/mcp-server-azure-devops

GitHub GraphQL MCP Server is a Model Context Protocol (MCP) server that enables interaction with GitHub's GraphQL API. It allows users to execute any GraphQL queries and mutations against GitHub, supporting variable injection and error handling. The server is designed to integrate with Claude for Desktop, providing tooling for AI environments to access or manipulate GitHub data. Detailed documentation and configuration examples are provided for rapid setup and use.

• ⭐ 9
• MCP
• QuentinCody/github-graphql-mcp-server

GitLab MR MCP implements a server for the Model Context Protocol (MCP) enabling AI agents to perform structured interactions with GitLab repositories. It provides capabilities for reading merge request and issue details, listing projects, fetching diffs and comments, and making changes such as commenting or updating titles and descriptions. Installation is supported via Smithery or manually, and integration with MCP clients and Inspector tools is documented for development and troubleshooting.

• ⭐ 65
• MCP
• kopfrechner/gitlab-mr-mcp

AtomGit MCP Server implements the Model Context Protocol to enable AI-driven management and automation of AtomGit open collaboration platform repositories. It offers methods for managing repositories, issues, pull requests, branches, and labels, allowing seamless AI interaction with AtomGit. The server supports integration with platforms like Claude and VSCode, providing a standardized interface for AI to orchestrate complex collaboration workflows. Built with Node.js and easily deployable via npx or from source, it focuses on expanding collaborative capabilities using AI agents.

• ⭐ 7
• MCP
• kaiyuanxiaobing/atomgit-mcp-server

GitHub MCP Server enables AI tools such as agents, assistants, and chatbots to interact natively with the GitHub platform. It allows these tools to access repositories, analyze code, manage issues and pull requests, and automate workflows using the Model Context Protocol (MCP). The server supports integration with multiple hosts, including VS Code and other popular IDEs, and can operate both remotely and locally. Built for developers seeking to enhance AI-powered development workflows through seamless GitHub context access.

• ⭐ 24,418
• MCP
• github/github-mcp-server

GitHub Enterprise MCP Server provides an MCP (Model Context Protocol) interface to integrate with GitHub Enterprise APIs, enabling standardized access to repository data, issues, pull requests, workflows, and user management. It is compatible with both GitHub Enterprise Server and GitHub.com environments and supports features like repository management, file browsing, and enterprise statistics. The platform is designed for seamless integration with tools such as Cursor, making it simple to interact with GitHub data programmatically or via MCP-compliant clients.

• ⭐ 25
• MCP
• ddukbg/github-enterprise-mcp

mcp-git-ingest is a Model Context Protocol (MCP) server designed to programmatically read and visualize GitHub repository structures and retrieve important file contents. It leverages fastmcp for server functionality and gitpython for repository operations, ensuring robust error handling and cleanup. The tool offers commands to generate directory trees and fetch specified files, making it suitable for integrating repository context into AI workflows.

• ⭐ 286
• MCP
• adhikasp/mcp-git-ingest

AllTrails MCP Server provides Model Context Protocol (MCP) compliant access to AllTrails hiking trail data, enabling AI tools to search for trails and retrieve detailed trail information. It supports searching by national park and fetching comprehensive details such as difficulty, length, elevation, ratings, and route types. The server communicates via standard input/output and is designed for easy integration with MCP-compatible clients like Claude Desktop. Installation is flexible, supporting both virtual environments and system Python setups.

• ⭐ 6
• MCP
• srinath1510/alltrails-mcp-server

Triplyfy MCP provides a remote Model Context Protocol (MCP) server integration for Claude Desktop, allowing users to seamlessly plan, edit, and save itineraries within the Triplyfy trip-planning platform. The setup facilitates secure user authentication via Google sign-in and manages session tokens for persistent access. Users can create, update, and organize their trips with features like drag-and-drop, integrated flight search, and map views. Communication between Claude and Triplyfy is handled through a standardized MCP SSE endpoint.

• ⭐ 3
• MCP
• helpful-AIs/triplyfy-mcp

TripGo MCP Server acts as a remote Model Context Protocol server that wraps the TripGo API, offering tools for retrieving transport-related locations, departures from transport stops, multi-modal trip planning, and trip URL retrieval. It is deployed on Cloudflare Workers and is accessible directly or via MCP-compatible clients such as Claude Desktop through the mcp-remote proxy. The server supports direct integration for context-aware transport queries and trip management, facilitating enhanced interactions with public transport data.

• ⭐ 2
• MCP
• skedgo/tripgo-mcp-server

Provides an MCP server enabling AI assistants, such as Claude, to access and deliver real-time travel information from Nederlandse Spoorwegen (NS). Supports installation via NPM, Smithery, or from source, and requires an NS API key for operation. Offers endpoints for live train departures, arrivals, disruptions, alternative routes, station facilities, and ticket pricing. Designed to integrate seamlessly with AI platforms for enhanced Dutch railway expertise.

• ⭐ 43
• MCP
• r-huijts/ns-mcp-server