MCPs tagged with # project-management

MCP Linear is a Model Context Protocol (MCP) server implementation that enables AI assistants to interact with the Linear project management platform. It provides a bridge between AI systems and the Linear GraphQL API, allowing the retrieval and management of issues, projects, teams, and more. With MCP Linear, users can create, update, assign, and comment on Linear issues, as well as manage project and team structures directly through AI interfaces. The tool supports seamless integration via Smithery and can be configured for various AI clients like Cursor and Claude Desktop.

• ⭐ 117
• MCP
• tacticlaunch/mcp-linear

Plane MCP Server provides a standardized interface to connect large language models with Plane.so project management APIs. It enables LLMs to interact directly with project and issue data, supporting tasks such as listing projects, retrieving detailed information, creating and updating issues, while prioritizing user control and security. Installation is streamlined through tools like Smithery, and configuration supports multiple clients including Claude for Desktop.

• ⭐ 32
• MCP
• kelvin6365/plane-mcp-server

Things MCP Server enables AI assistants to interact with the Things productivity app using the Model Context Protocol (MCP). It offers comprehensive support for Things' URL scheme, allowing creation, updating, and management of todos and projects through standardized commands. The server supports batch operations, advanced organization features, and natural language scheduling, making task automation efficient for MCP-compatible clients.

• ⭐ 6
• MCP
• jimfilippou/things-mcp

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

Provides a comprehensive MCP server enabling seamless integration of Jira functionalities with Claude Code. Supports issue management, sprint operations, comments, attachments, batch processing, and agile workflows via a standardized protocol for model context. Designed for secure, environment-based configuration and optimized for both individual and batch operations within Jira.

• ⭐ 5
• MCP
• tom28881/mcp-jira-server

Jira MCP is an opinionated server implementation of the Model Context Protocol (MCP) tailored for Jira automation and integration. It provides advanced tools to manage Jira issues, sprints, development data, and project versions, reflecting workflows of real engineering and QA teams. Designed for seamless AI and tool integrations, it supports context-rich retrieval of Jira information for enhancing development transparency and automation.

• ⭐ 69
• MCP
• nguyenvanduocit/jira-mcp

Linear MCP Server acts as a bridge between the Linear API and the Model Context Protocol, enabling large language models to interact programmatically with Linear's issue tracking system. It provides tools to create, update, search, and manage issues, as well as to add comments and retrieve user or team-focused issue data. Designed to integrate with platforms such as Claude Desktop, it supports seamless issue management workflows through MCP-compatible commands and resource endpoints.

• ⭐ 333
• MCP
• jerhadf/linear-mcp-server

Label Studio MCP Server implements a Model Context Protocol (MCP) interface to enable programmatic management of Label Studio projects, tasks, and model predictions. It enables structured interactions with a running Label Studio instance via MCP clients, supports various project and task operations, and integrates the official Label Studio SDK. The tool exposes multiple functions for project management, task handling, and prediction integration, allowing both natural language and structured API calls.

• ⭐ 23
• MCP
• HumanSignal/label-studio-mcp-server

Enables AI assistants like Claude and Cursor to interact directly with Atlassian Jira projects, issues, and workflows using the Model Context Protocol (MCP). Provides standardized context and actions such as querying project status, searching issues, and managing comments through a command-line MCP server. Designed for integration with multiple AI tools, allowing natural language project interaction and instant workflow insights.

• ⭐ 39
• MCP
• aashari/mcp-server-atlassian-jira

MCP GitLab Jira Server acts as a bridge, enabling AI agents to interact programmatically with GitLab and Jira instances via the Model Context Protocol. It provides a standardized server interface for operations on projects, merge requests, pipelines, branches, issues, releases, and users in GitLab, as well as tickets and project management features in Jira. The server can be run as a CLI tool or in a Docker container, making it compatible with tools like gemini-cli. Configuration via environment variables allows secure authentication and flexible deployment.

• ⭐ 6
• MCP
• HainanZhao/mcp-gitlab-jira

Opik MCP Server is an open-source implementation of the Model Context Protocol (MCP) designed for the Opik platform. It enables seamless integration with compatible IDEs and provides a unified interface to manage Opik's features such as prompts, projects, traces, and metrics. Supporting multiple transport mechanisms like stdio and experimental SSE, it simplifies workflow integration and platform management for LLM applications. The tool aims to streamline development and monitoring by offering standardized access and control over Opik's capabilities.

• ⭐ 182
• MCP
• comet-ml/opik-mcp

@bldbl/mcp enables AI assistants like Claude and GPT to directly interact with Buildable projects using the Model Context Protocol (MCP). It provides full project context, smart task management, real-time progress tracking, and facilitates seamless communication between AI and human developers. TypeScript support and CLI tools ensure robust integration, making it ready for platforms like Claude Desktop and Cursor AI. The tool simplifies AI-driven project management and collaboration in software development.

• ⭐ 8
• MCP
• chunkydotdev/bldbl-mcp