# Backlog

> Use this tool when you need to integrate project management capabilities into conversations, allowing AI assistants to interact with issues and projects directly. It solves problems such as streamlining project management workflows and automating issue creation, providing inputs like authentication credentials and project data, and outputs like created issues and project updates. Use it in contexts where seamless communication between AI assistants and project management tools is required.

Canonical page: https://skillsregistry.net/skills/tomohiro1850-backlog  
JSON: https://api.skillsregistry.net/v1/skills/tomohiro1850-backlog

## Description

Backlog MCP Server provides integration with the Backlog project management API, allowing AI assistants to interact with Backlog issues and projects directly within conversations. The server implements the Model Context Protocol to expose Backlog's functionality through a set of endpoints that handle authentication, issue creation, and project management operations. Built with TypeScript and Node.js, it uses environment variables for configuration and includes comprehensive test coverage to ensure reliable communication with the Backlog API.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tomohiro1850-backlog)
- **Repository:** <https://github.com/tmhr1850/backlog-mcp-server>

## 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": "tomohiro1850-backlog"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tomohiro1850-backlog` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tomohiro1850-backlog/pull`

---
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