Backlog MCP Server

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23 Stars
The Backlog MCP Server provides tools for managing projects, issues, wikis, Git repositories, pull requests, and notifications via Backlog API, supporting AI integration and optimized data responses.
Added on:
Created by:
Apr 24 2025
Backlog MCP Server

Backlog MCP Server

0 Reviews
23
0
Backlog MCP Server
The Backlog MCP Server provides tools for managing projects, issues, wikis, Git repositories, pull requests, and notifications via Backlog API, supporting AI integration and optimized data responses.
Added on:
Created by:
Apr 24 2025
Nulab Inc
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What is Backlog MCP Server?

This MCP server enables seamless interaction with Backlog projects through AI agents by offering capabilities such as project, issue, wiki, Git repository, and pull request management, along with notification control. It supports GraphQL-style field selection for efficient data retrieval, token limiting for response management, and enhanced error handling. Designed for developers and project managers, it facilitates automation, integration, and real-time data operations within Backlog, improving workflow efficiency and collaboration. It requires Docker or manual setup, API keys, and a Backlog account, providing flexible deployment options including Docker and manual installation.

Who will use Backlog MCP Server?

  • Developers
  • Project Managers
  • Automation Engineers
  • Team Collaborators

How to use the Backlog MCP Server?

  • Step1: Set up the server via Docker or manual installation
  • Step2: Configure API keys and domain information
  • Step3: Integrate with AI agents like Claude Desktop / Cline / Cursor
  • Step4: Use tools to manage projects, issues, wikis, etc. via commands
  • Step5: Optimize responses and customize translations as needed

Backlog MCP Server's Core Features & Benefits

The Core Features
  • Project management (create, read, update, delete)
  • Issue tracking (create, update, delete, list)
  • Wiki page management
  • Git repository management
  • Pull request management
  • Notification handling
  • Watching list management
  • GraphQL-style field selection
  • Token limiting
  • Enhanced error handling
The Benefits
  • Streamlined project and issue management
  • Automated workflows via AI integration
  • Optimized data retrieval for performance
  • Flexible deployment options
  • Improved team collaboration

Backlog MCP Server's Main Use Cases & Applications

  • Automate project and issue updates
  • Integrate Backlog data with AI agents
  • Manage Git repositories and pull requests
  • Handle notifications and watching lists

FAQs of Backlog MCP Server

Developer

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