# Project management

The Linear MCP Server is a server that implements the Model Context Protocol, used to connect AI assistants to the GraphQL API of the Linear project management system, providing functions such as issue tracking and project management.

This is an MCP server for Linear, which allows Claude to manage teams, issues, projects, and cycles in Linear through the API. It provides functions such as team query, issue search, cycle retrieval, project management, and issue creation/updating.

MCP server in TAPD project

The Kanboard MCP Server is a model context protocol server developed in Go that enables seamless integration between AI assistants and the Kanboard project management system. It supports managing projects, tasks, users, and workflows through natural language commands.

The Azure DevOps MCP server provides functions such as project management and repository operations, simplifies complex workflows, and improves development efficiency.

The Infactory MCP Server is a server for interacting with the Infactory API through language models such as Claude, providing functions for project management, query program operations, data source management, and user - team management.

The Edgee MCP Server is a server designed for the Edgee API, providing functions such as organization management, project operations, component management, and user management, and achieving efficient operations through the Model Context Protocol.

The Goodday MCP Server is a model context protocol server for integrating with the Goodday project management platform. It provides project management, task management, and user management functions, and supports OpenWebUI integration and vector database search.

An MCP server based on TypeScript that integrates Backlog with the Model Context Protocol, providing project resource access, API interaction tools, and data summarization and analysis capabilities.

A Jira connection tool based on the Go language, supporting AI assistants to interact with Jira through the MCP protocol to achieve functions such as issue management and workflow operations.

The Unity MCP server is a tool that connects Claude with Unity projects. It is developed based on the Model Context Protocol SDK and provides functions for accessing project lists, detailed information, and file structures.

An MCP server based on TypeScript for interacting with the Affinidi Elements API through the Affinidi TDK. It demonstrates core MCP concepts such as resources, tools, and prompts, and provides functions like project management, listing login configurations, and issuing event ticket VCs.

This project is a server based on the MCP protocol, providing AI assistants with the ability to interact with Azure DevOps services, enabling natural - language operations on work items, project management, and other functions.

The Clockify MCP Server is a service that automates interactions with the Clockify time tracking platform, aiming to simplify work time recording, task management, and time entry processing, and improve project management efficiency.

The Gridly MCP Server is a server-side tool for managing Gridly API projects, providing functions such as project management, grid operations, and database management, and supporting calls through MCP clients such as Claude Desktop.

The Sentry MCP Server is a Model Context Protocol service for interacting with Sentry, providing tools to retrieve and analyze error data, manage projects, and monitor application performance.

This is an MCP server for the Monday.com platform, supporting interaction with Monday.com boards, projects, updates, and documents through various tools.

The Backlog MCP Server is a middleware service that enables AI agents to interact with the Backlog API, supporting various functions such as project management, issue tracking, and Wiki editing.

A GitLab MCP service based on TypeScript, providing functions such as project management, issue tracking, comment viewing, and Wiki content retrieval.

Supabase MCP Server is a tool that connects Supabase projects with AI assistants (such as Cursor, Claude, etc.), enabling AI assistants to directly manage database tables, query data, and perform other functions through the Model Context Protocol standard.

The MCP Continuity Server is a project state management and continuous development tool based on the MCP protocol, providing functions such as project state initialization, repository analysis, and continuity prompt generation.

An MCP server for interacting with the Linear API, providing tools for managing Linear issues, projects, and teams, supporting both API key and OAuth authentication methods.

A Python-based tool that interacts with the Vercel API through the MCP protocol, providing a structured access method for AI systems and humans

The Claude Project Coordinator is an MCP server for managing and coordinating multiple Xcode/Swift projects, providing project status tracking, code pattern search, and development knowledge base maintenance functions. It includes features such as security verification, project analysis, and automated technology detection.

The mem0 MCP Server provides structured memory storage and semantic search services for project management

An MCP server for the Azure DevOps API, supporting functions such as project management and repository operations.

An advanced API integration package for the Zentao project management system, providing a complete encapsulation of functions such as task management and Bug tracking. It is an MCP extension specifically designed for the Cursor IDE.

The Mantis MCP Server is an integrated service based on the MCP protocol, providing issue management, user management, project management, and statistical analysis functions for efficient interaction with the Mantis Bug Tracker system.

This is a custom MCP server used to integrate with Redmine and interact with Redmine projects and issues through the Cline VS Code extension.

A dynamic Rollbar MCP server implementation for the interaction between LLMs and Rollbar error tracking data, supporting functions such as listing and filtering error items, getting detailed error information, viewing error occurrences, and accessing project and deployment details.