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MCP Backlog Server

@katsuhirohonda

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

katsuhirohonda

关于 MCP Backlog Server

暂无概览

#mcp-backlog-server#backlog#mcp

MCP Backlog Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

MCP Backlog Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is mCP-backlog-server?

mcp-backlog-server is a TypeScript-based server that integrates Backlog project management with the Model Context Protocol (MCP). It provides resources, tools, and prompts to access and interact with Backlog data, ideal for users who want to manage Backlog projects through MCP-compatible clients like Claude Desktop.

How to use mcp-backlog-server?

Install dependencies with npm install, then build with npm run build. Configure the server in your Claude Desktop config file (claude_desktop_config.json) by specifying the path to the build output and setting two environment variables: BACKLOG_API_KEY and BACKLOG_SPACE_URL.

Key features of mcp-backlog-server

  • Access Backlog projects via structured backlog://project/[id] resources
  • Retrieve user, space, project, issue, and wiki information
  • Filter and paginate issue lists by status, assignee, and more
  • Add comments to issues and read their details
  • Summarize recent projects and analyze usage patterns
  • Summarize project wiki pages with a dedicated prompt

Use cases of mcp-backlog-server

  • Summarize recently viewed Backlog projects for a quick overview
  • Analyze Backlog usage patterns based on user, space, and project data
  • Retrieve and update project issues and wiki pages programmatically
  • Add comments to issues directly from an MCP client
  • Generate structured summaries of wiki pages for a project

常见问题

1

What prerequisites are needed to run the server?

You need a Backlog account with API access and set the `BACKLOG_API_KEY` and `BACKLOG_SPACE_URL` environment variables.

2

How is the server configured in Claude Desktop?

Add a JSON entry in `claude_desktop_config.json` with the server command pointing to the build file and the required environment variables.

3

How can I debug the server?

Use the MCP Inspector by running `npm run inspector`, which provides a browser-based debugging tool.

4

Where does the data come from?

All data is fetched from the Backlog API using your API key and space URL; no local storage is used.

5

What transport does the server use?

The server communicates via standard input/output (stdio) as typical for MCP servers.

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