# backlog-mcp

> Use this tool when you need to manage a story-based project backlog with AI agents, providing them with structured access to list, read, and update project stories stored as markdown files in your repository. It solves problems of version control and collaboration by keeping backlog files committed and versioned alongside your code. Agents can input commands to read and write story data, and output updated story status and notes, all within the context of agile project management and development workflows.

Canonical page: https://skillsregistry.net/skills/corbym-backlog-mcp  
JSON: https://api.skillsregistry.net/v1/skills/corbym-backlog-mcp

## Description

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

## Trust

- **Trust score (0–1):** 0.19
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mzdvdcd1hn)
- **Repository:** <https://github.com/corbym/backlog-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "corbym-backlog-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/corbym-backlog-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/corbym-backlog-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt