# velog-mcp

> Use this tool when you need to integrate AI assistants with the Velog blog platform, enabling reading, searching, and writing articles seamlessly. It solves problems of accessibility and automation for Velog users, allowing them to manage their blog content via voice or text commands. The velog-mcp server takes in AI assistant inputs and outputs relevant article data, facilitating a hands-free blogging experience.

Canonical page: https://skillsregistry.net/skills/hyungseokyoon-velog-ag  
JSON: https://api.skillsregistry.net/v1/skills/hyungseokyoon-velog-ag

## Description

MCP server for Velog blog platform enabling reading, searching, and writing articles via AI assistants.

## 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:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iq7jg2tckb)
- **Repository:** <https://github.com/hyungseokyoon/velog_ag>

## 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": "hyungseokyoon-velog-ag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hyungseokyoon-velog-ag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hyungseokyoon-velog-ag/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