Feishu Project

GitHub

Official Remote

Extend your developer tools with the GitHub MCP Server—a powerful Model Context Protocol server enhancing automation and AI interactions with GitHub APIs. It supports diverse functionalities like managing workflows, issues, pull requests, repositories, and security alerts. Customize available toolsets to fit your needs, enable dynamic tool discovery to streamline tool usage, and run the server locally or remotely. With read-only mode and support for GitHub Enterprise, this server integrates deeply into your GitHub ecosystem, empowering data extraction and intelligent operations for developers and AI applications. Licensed under MIT, it fosters flexible and advanced GitHub automation.

Manage and execute tasks efficiently with MCP TaskManager in a queue-based system. This server supports planning by accepting and organizing task lists, and execution by delivering tasks one at a time with feedback on completion. It tracks tasks via unique IDs, ensuring smooth workflow coordination through clear stages: planning, executing, and completing. Designed for integration with MCP clients like Claude Desktop, TaskManager simplifies complex task handling and improves automation by providing structured task queues and real-time updates. Its straightforward action parameters allow easy control over task flow, making it a powerful tool for effective task management.

Azure DevOps

Official

Supercharge your workflow by bringing Azure DevOps commands directly into VS Code. The Azure DevOps MCP Server lets you manage projects, builds, releases, repos, work items, test plans, and more from your editor with simple prompts. Focused, easy-to-use tools offer clear access to Azure DevOps data, making routine tasks faster while keeping complexity out of your way. Perfect for anyone who wants to streamline DevOps work inside their coding environment.

Streamline Jira Cloud integration with this modular MCP server for AI and automation tools. Easily list scrum boards, track issues, add comments, fetch user info, and search users. Designed for extensibility and easy contribution, it helps automate workflows and connect Jira data to custom agents or bots. The server supports key Jira functionalities like retrieving server details and managing issues, all wrapped in a clean, TypeScript-based structure. Whether enhancing existing tools or building new automation, this project simplifies interacting with Jira Cloud via the Model Context Protocol.

Orchestrates AI coding workflows through role-based agents that transition between specialized responsibilities (orchestrator, architect, developer, reviewer, integration engineer) with comprehensive task management, dependency tracking, and execution state persistence.

Access Confluence pages and Jira issues via Atlassian API.

Provides structured problem-solving tools for step-by-step analysis, branching thoughts, and adaptive reasoning strategies in complex decision-making processes.

Integrates with OmniFocus on macOS using AppleScript to provide complete task and project management capabilities including CRUD operations, perspective views, batch operations, subtask hierarchies, tag management, and custom filtering for productivity workflows.

Integrates with GitLab's API to enable repository management, issue tracking, merge request handling, and file operations for automated development workflows.

Integrates with JIRA through REST API v2 to provide complete issue management including retrieval, JQL searching, creation, updates, status transitions, and commenting for development teams and project managers.