What is Backlog MCP Server?
Backlog MCP Server is a Model Context Protocol (MCP) server designed for interacting with the Backlog API, enabling users to manage projects, issues, wiki pages, and more through AI agents.
How to use Backlog MCP Server?
To use the Backlog MCP Server, you can install it via Docker or manually. For Docker, configure the MCP settings in your AI agent (e.g., Claude Desktop) with your Backlog domain and API key. For manual installation, clone the repository, install dependencies, and build the project.
Key features of Backlog MCP Server?
- Project management (CRUD operations)
- Issue tracking (CRUD operations)
- Wiki page management
- Git repository management
- Pull request management
- Notification management
- GraphQL-style field selection for optimized responses
- Token limiting for large responses
- Enhanced error handling
Use cases of Backlog MCP Server?
- Managing project tasks and issues in Backlog.
- Collaborating on Git repositories and pull requests.
- Automating notifications and updates for project stakeholders.
- Utilizing AI agents to interact with Backlog data efficiently.
FAQ from Backlog MCP Server?
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What is required to run the Backlog MCP Server?
You need Docker, a Backlog account with API access, and an API key from your Backlog account.
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Is there a graphical interface for this server?
No, it is designed to be used through AI agents and command-line interactions.
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Can I customize the server behavior?
Yes, you can customize settings through environment variables and configuration files.