# DocMCP

> Use this tool when you need to efficiently search and access documentation websites from AI coding assistants. DocMCP solves the problem of fragmented documentation by indexing websites and enabling seamless searches via the Model Context Protocol (MCP). It takes in documentation websites as input and outputs relevant search results, making it ideal for use cases where developers require quick access to reference materials while coding.

Canonical page: https://skillsregistry.net/skills/pieeee-docmcp  
JSON: https://api.skillsregistry.net/v1/skills/pieeee-docmcp

## Description

Index any documentation website and search it from AI coding assistants via the Model Context Protocol (MCP).

## Trust

- **Trust score (0–1):** 0.91
- **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/vj2xoxr2xz)
- **Repository:** <https://github.com/pieeee/docmcp>

## 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": "pieeee-docmcp"
    }
  }
}
```

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