# docapi-mcp

> Use this tool when you need to generate concise descriptions for AI agents, solving problems of unclear or missing summaries for various tools and skills. It takes in tool names, descriptions, and categories as inputs, producing optimized descriptions as outputs. Ideal for use cases where AI agents require accurate and concise information to function effectively.

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

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/docapi/docapi-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": "docapi-docapi-mcp"
    }
  }
}
```

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