# mcp-documentacao

> mcp-documentacao — ezequiell22-mcp-rag. Use this tool when you need to efficiently search and retrieve technical documents using a hybrid search approach that combines vector and BM25 algorithms, providing accurate results without generating new content. It indexes technical documents and provides retrieval functionality, solving problems related to information discovery and document management. Ideal for use cases where precise document retrieval is crucial, such as research, development, and technical support.

Canonical page: https://skillsregistry.net/skills/ezequiell22-mcp-rag  
JSON: https://api.skillsregistry.net/v1/skills/ezequiell22-mcp-rag

## Description

MCP server that indexes technical documents and provides hybrid search (vector + BM25) for retrieval only, without generation.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/oxo19r60lb)
- **Repository:** <https://github.com/Ezequiell22/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": "ezequiell22-mcp-rag"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ezequiell22-mcp-rag` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ezequiell22-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