# MCP RAG

> Use this tool when you need to process and retrieve information from documents, or answer complex questions using semantic search and multiple AI models. It solves problems related to document management, knowledge retrieval, and intelligent querying, providing outputs such as relevant documents, answers, and entity relationships. Ideal for applications requiring advanced search, Q&A, and document analysis capabilities.

Canonical page: https://skillsregistry.net/skills/fastmcp-me-mcp-rag  
JSON: https://api.skillsregistry.net/v1/skills/fastmcp-me-mcp-rag

## Description

A RAG-based knowledge base system supporting document processing, semantic search, and intelligent Q\&A with multiple AI model integrations.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g0e5ylpgnc)
- **Repository:** <https://github.com/fastmcp-me/mcp-rag>

## 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": "fastmcp-me-mcp-rag"
    }
  }
}
```

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