backlog-mcp

backlog-mcp

An MCP server that gives AI agents structured read/write access to a story-based project backlog. Agents can list stories, read content, update status, and append notes — all backed by plain markdown files that live inside your project repository. There is no shared server. The backlog files live in your repo under requirements/, committed and versioned alongside your code

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backlog-mcp MCP server

backlog-mcp

An MCP server that gives AI agents structured read/write access to a story-based project backlog. Agents can list stories, read content, update status, and append notes — all backed by plain markdown files that live inside your project repository.

How collaboration works

There is no shared server. The backlog files live in your repo under requirements/, committed and versioned alongside your code. Collaboration between agents, or between an agent and a human, works exactly the way the rest of your codebase does: through git. If two agents update different stories concurrently, git merges them. If they touch the same line, you resolve it like any other merge conflict.

The MCP server is a local process each agent runs for itself. It reads and writes files; git handles the rest.


Install

Download the latest binary for your platform from the Releases page and put it somewhere on your $PATH.

Or, if you have Go installed:

go install github.com/corbym/backlog-mcp@latest

Build from source

go mod tidy
go build -o backlog-mcp .

Setup

Initialise a requirements/ folder in your project root:

./backlog-mcp init /path/to/your/project/requirements

This creates:

requirements/
  requirements-index.md   # master index — source of truth for epics and story status
  backlog.md              # priority-ordered list of not-done stories
  epic-001-example/
    story-001.md          # example story file

Commit the requirements/ folder to your repo. Edit the files to add your own epics and stories.


Running

./backlog-mcp

The server looks for a requirements/ directory relative to the working directory it is launched from. Claude Code sets the working directory to the project root, so no configuration is needed.

Claude Code config (.claude/settings.json in your project, or ~/.claude/settings.json globally):

{
  "mcpServers": {
    "backlog-mcp": {
      "command": "/path/to/backlog-mcp"
    }
  }
}

Tools

Tool Description
list_stories List stories, optionally filtered by epic_id or status
get_story Get full markdown content and metadata for a story
set_story_status Update story status in index and backlog
add_story_note Append a timestamped note to a story file
complete_story Mark a story done and append a mandatory completion summary in one call
create_epic Create a new epic — assigns next EPIC-NNN ID, writes epic file, registers in index
create_story Create a new story under an epic — assigns next STORY-NNN ID, registers in index and backlog
set_acceptance_criteria Replace the acceptance criteria section of a story (idempotent)
get_index_summary High-level epic/story counts by status

Environment variables

Variable Required Default Description
BACKLOG_ROOT no requirements Override the path to the requirements directory
BACKLOG_TRANSPORT no stdio Set to http for HTTP/SSE mode
BACKLOG_HTTP_ADDR no 0.0.0.0:8080 Listen address for HTTP mode

File format

requirements-index.md — one epic section per heading, one story per table row:

## EPIC-001: Combat System — `draft`

| Story | Title | Status |
|-------|-------|--------|
| [STORY-001](./epic-001-combat-system/story-001.md) | Basic combat | draft |

backlog.md — priority-ordered numbered list:

1. **STORY-001** — Basic combat
2. **STORY-002** — Enemy AI *(in-progress)*

Story files live at epic-NNN-slug/story-NNN.md under BACKLOG_ROOT.

Status values: draft, in-progress, done, blocked


Notes

  • File writes are atomic (temp file + rename) — a crash mid-write cannot corrupt your files.
  • The filesystem is the source of truth. The MCP server never owns the data.

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backlog-mcp