# MCP Documentation Server

> Use this tool when you need to efficiently search and retrieve specific MCP documentation using natural language queries. It solves the problem of information overload by providing semantic search capabilities, allowing users to quickly access relevant documentation content. The tool takes in natural language queries as input and outputs relevant MCP documentation, making it ideal for use cases where rapid access to specific information is crucial.

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

## Description

Enables semantic search and retrieval of MCP (Model Context Protocol) documentation using Redis-backed embeddings, allowing users to query and access documentation content through natural language.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/aju1fetfwg)
- **Repository:** <https://github.com/McKhanster/mcp-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": "mckhanster-mcp-mcp"
    }
  }
}
```

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