MCP Backlog Server
M

MCP Backlog Server

An MCP server based on TypeScript that integrates Backlog with the Model Context Protocol, providing project resource access, API interaction tools, and data summarization and analysis capabilities.
2.5 points
10.2K

What is the Backlog MCP Server?

The Backlog MCP Server is a bridge service that connects the Backlog project management platform with the MCP protocol. It allows users to access projects, issues, and Wiki content in Backlog through a standardized protocol and provides intelligent analysis and summarization capabilities.

How to use the Backlog MCP Server?

By configuring the Claude Desktop client or directly calling the MCP protocol interface, you can query project information, manage issues, access Wiki content, and obtain intelligently generated project summaries and analysis reports.

Applicable scenarios

Suitable for teams that need to integrate Backlog project management data into intelligent workflows, especially users who want to leverage AI capabilities to analyze project status, automatically generate reports, or build custom project management tools.

Main features

Project resource access
Access Backlog projects, issues, and Wiki content through the standard URI format (e.g., backlog://project/[id]), supporting the structured JSON data format.
API interaction toolset
Provides 12 tools for interacting with the Backlog API, including user information query, project list, issue management, and Wiki operations.
Intelligent analysis and summarization
Leverage AI capabilities to automatically generate project summaries, usage pattern analysis, and Wiki content summaries.
Advantages
Standardized access: Provides a unified Backlog data access interface through the MCP protocol.
Comprehensive functionality: Covers the main functions of Backlog, including project, issue, and Wiki management.
Intelligent enhancement: Built - in AI analysis capabilities provide insights beyond the native API.
Easy integration: Supports seamless integration with MCP - compatible clients such as Claude Desktop.
Limitations
Requires Backlog API access permission and a valid API key.
Some advanced Backlog features may not be implemented yet.
The AI analysis capabilities depend on the model's performance, and the results may not be completely accurate.

How to use

Environment preparation
Ensure you have a valid Backlog account and API access permission. Obtain the API key and space URL.
Server configuration
Add server settings to the Claude Desktop configuration file or directly run the server program.
Function usage
Send requests through an MCP - compatible client to access Backlog resources or call tool functions.

Usage examples

Daily project status report generation
Automatically generate daily project status reports, including statistics on open issues and key indicators.
Quick issue query
Quickly find relevant issues and discussions based on keywords.
Wiki knowledge base search
Search for relevant documents in the project Wiki and generate concise summaries.

Frequently Asked Questions

How to obtain a Backlog API key?
What Backlog functions does the server support?
How to debug server issues?
How accurate are the AI analysis capabilities?

Related resources

Backlog official API documentation
Complete reference documentation for the Backlog API
MCP protocol specification
Official specification of the Model Context Protocol
MCP Inspector tool
A visualization tool for debugging MCP servers
Example configuration repository
Contains example configurations and scripts for various usage scenarios

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "mcp-backlog-server": {
      "command": "/path/to/mcp-backlog-server/build/index.js",
      "env": {
        "BACKLOG_API_KEY": "your-api-key",
        "BACKLOG_SPACE_URL": "https://your-space.backlog.com"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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