# mcp-docs

> Use this tool when you need to integrate large volumes of software documentation into AI models, enabling them to search and provide accurate answers to user queries. The mcp-docs server takes in Markdown documentation as input and outputs searchable, queryable data that LLMs can leverage to resolve user inquiries. Ideal for use cases where AI agents require access to extensive software documentation to provide informed support and guidance.

Canonical page: https://skillsregistry.net/skills/gmantovani2005-mcp-docs  
JSON: https://api.skillsregistry.net/v1/skills/gmantovani2005-mcp-docs

## Description

Generic MCP server that exposes Markdown documentation to LLMs, enabling them to search and answer questions about any software documentation.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/s7z2l11804)
- **Repository:** <https://github.com/gmantovani2005/mcp-docs>

## 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": "gmantovani2005-mcp-docs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gmantovani2005-mcp-docs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gmantovani2005-mcp-docs/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