広告掲載
MCP.so
ログイン
B

Backlog MCP Server

@corbym

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

corbym

投稿者

Matt Corby

Backlog MCP Server について

概要はまだありません

Backlog MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "backlog-mcp": {
      "command": "/path/to/binary/backlog-mcp",
      "env": {
        "BACKLOG_ROOT": "/path/to/repository/requirements"
      }
    }
  }
}

Backlog MCP Server のツール

5

List stories, optionally filtered by `epic_id` or `status`

Get full markdown content and metadata for a story

Update story status in index and backlog

Append a timestamped note to a story file

High-level epic/story counts by status

概要

What is Backlog Mcp?

An MCP server that gives AI agents structured read/write access to a story-based project backlog using plain markdown files in the repository. It enables agents to list, read, update status, and add notes to stories, with collaboration handled through git.

How to use Backlog Mcp?

Download the binary or install via go install github.com/corbym/backlog-mcp@latest. Initialize a requirements directory with ./backlog-mcp init /path/to/requirements. Run ./backlog-mcp in the project root, and configure Claude Code with the command in .claude/settings.json.

Key features of Backlog Mcp?

  • List stories filtered by epic or status
  • Get full story content and metadata
  • Update story status in index and backlog
  • Append timestamped notes to stories

コメント

「その他」の他のコンテンツ

MCP Toolbox for Databases

googleapis

MCP Toolbox for Databases is an open source MCP server for databases.

15.9K

Yuppsy

Yuppsy MCP: build and publish real estate websites from your AI assistant. Yuppsy lets your AI assistant create live websites for real estate agents and individual property listings. You don't need a designer or any code

EverArt

modelcontextprotocol

Model Context Protocol Servers

88.1K

FastMCP v2 🚀

jlowin

🚀 The fast, Pythonic way to build MCP servers and clients.

26.0K

Handl

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.

広告掲載