# MCP Framework Documentation Server

> Use this tool when you need to access and retrieve MCP framework documentation for AI agent development and integration. It solves problems of documentation discovery and retrieval, providing a direct interface for agents to browse and search MCP framework documentation within compatible environments. The tool takes search queries and documentation section requests as inputs and returns relevant documentation pages and content as outputs.

Canonical page: https://skillsregistry.net/skills/quantgeekdev-mcp-framework-docs-server  
JSON: https://api.skillsregistry.net/v1/skills/quantgeekdev-mcp-framework-docs-server

## Description

Provides tools for AI agents to search, browse, and retrieve the full documentation for the mcp-framework. It enables agents to access documentation sections and page content directly within MCP-compatible environments like Claude Code and Cursor.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/p1t51vtv0g)
- **Repository:** <https://github.com/QuantGeekDev/mcp-framework-docs-server>

## 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": "quantgeekdev-mcp-framework-docs-server"
    }
  }
}
```

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