# Project Management

A demonstration project of an MCP server based on TypeScript, showing the core concepts implemented through the project management system, including resource query and tool operation functions.

The Linear MCP Server is a custom - implemented Model Context Protocol server that provides tools for interacting with the Linear API, enabling AI agents to programmatically manage issues, projects, and teams through the Linear platform.

A server - side implementation of the Linear issue tracking system based on the MCP protocol, providing functions to access Linear through a standardized interface

A smart context management MCP server for context tracking, recovery, and project management in AI development sessions, avoiding the loss of conversation context due to token limitations.

The MCP service interface of Dida365

An MCP server that connects to the Strateegia API, providing project interaction functions for AI assistants

This is a project memory library management service based on SQLite, providing storage and retrieval functions for project background, decision records, progress updates, etc. through the MCP protocol, and supporting independent data management by project path.

This project integrates Claude AI with Jira through the MCP protocol to automate project management tasks, including issue creation, update, search, and other functions.

This is an MCP server that provides integration for Linear issue tracking and project management, supporting functions such as creating and searching for issues, managing iteration tasks, and querying teams and projects.

A central repository containing multiple implementations of the Model Context Protocol (MCP) servers, supporting seamless integration with different services.

This project is a Model Context Protocol (MCP) server implemented for the Wrike project management platform, allowing interaction with the Wrike API through an MCP client (such as Anthropic's Claude desktop app), supporting queries and operations on data such as tasks, projects, spaces, and comments.

The MCP Python Toolbox is a service that implements the model context protocol, providing a comprehensive Python development toolset for AI assistants.

The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.

The Taiga MCP Bridge is an integration layer that connects the Taiga project management platform with the Model Context Protocol (MCP), enabling AI tools to seamlessly manage Taiga project resources.

MCP Redmine is a tool that connects Claude Desktop to Redmine instances, supporting issue management, file upload and download, and time tracking.

The Redmine MCP Server is a customized service for interacting with Redmine projects and issues through the Cline VS Code extension.

A GitHub project management server implementing the Model Context Protocol, providing programmatic management capabilities for GitHub projects to LLM clients through standardized tools.

The Trello MCP Server is a powerful service that interacts with Trello boards, lists, and cards through an AI host, supporting read, create, update, and delete operations.

MCP integration service for Confluence and Jira

The Linear MCP Server is a service based on the Model Context Protocol, providing integration with the Linear issue tracking system and allowing LLMs to interact with Linear issues through the MCP protocol. The server includes 24 tools and various resources, supporting functions such as issue management, team collaboration, project management, and tag classification.

ATLAS is an intelligent task and knowledge management system built on TypeScript and Neo4j, designed for LLM agents, providing a three - layer management architecture for projects, tasks, and knowledge.

The Project MCP Server is a tool for managing project knowledge graphs, providing structured representations of projects, tasks, milestones, resources, and team members to help project managers track progress, manage risks, allocate resources, and make decisions.

zPlanner is a command - line project planning tool focused on software development management, providing task hierarchy, progress tracking, and HTML reporting functions. It is especially designed with a context memory system for AI - assisted development.

The SD Elements MCP server is a model context protocol service that provides SD Elements API integration, enabling LLMs to interact with the SD Elements secure development lifecycle platform.

This is an MCP server implemented for the Asana project management platform, allowing interaction with the Asana API through an MCP client (such as the Claude desktop app) and providing management functions for tasks, projects, workspaces, etc.

An MCP server that integrates the Backlog API, providing project management, issue tracking, and Wiki operation functions

The Targetprocess MCP Server is a standard interface based on the Model Context Protocol (MCP), enabling AI assistants to interact with the Targetprocess project management platform through a unified interface, providing functions such as data query, creation and update, and model exploration.

This is an MCP server implementation designed for Redmine. By integrating Redmine's REST API, it provides ticket and project information query functions for LLMs. It supports core operations such as ticket management, project management, and time recording, and includes permission control and testing tools.

The MCP Development Server is a project management tool designed for Claude, providing project context awareness and a Docker code execution environment.

Linear MCP is a Model Context Protocol server for the Linear platform, used for issue tracking and project management.