# Qiita MCP Server

> Use this tool when you need to interact with the Qiita API v2 to manage articles, comments, tags, and teams through natural language, enabling CRUD operations and seamless integration with AI systems. It solves problems related to content management, team collaboration, and API interaction, providing a comprehensive interface for inputting queries and receiving output in a structured format. Ideal for use cases requiring automated content management, data retrieval, or team coordination on the Qiita platform.

Canonical page: https://skillsregistry.net/skills/sunu-py-jp-qiita-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sunu-py-jp-qiita-mcp

## Description

A comprehensive MCP server that enables AI to interact with all 68 functions of the Qiita API v2, covering articles, comments, tags, and team management. It allows users to perform CRUD operations on Qiita content and manage interactions through natural language.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h5ryzdply6)
- **Repository:** <https://github.com/sunu-py-jp/Qiita-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": "sunu-py-jp-qiita-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sunu-py-jp-qiita-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sunu-py-jp-qiita-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
