# rag-retriever-mcp

> Use this tool when you need to efficiently search and retrieve relevant information from local documents, enabling agents to provide accurate answers by indexing files and searching for specific passages. It solves problems related to information retrieval, document management, and question-answering, allowing agents to access and utilize local knowledge bases. The tool accepts document files as input and outputs relevant passages, which are then used by the agent's LLM to generate answers.

Canonical page: https://skillsregistry.net/skills/code-lawyer-rag-retriever  
JSON: https://api.skillsregistry.net/v1/skills/code-lawyer-rag-retriever

## Description

A local-first document retrieval engine that mounts as an MCP tool for agents to index files, search for relevant passages, and let the agent's own LLM answer.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/x079w4boeo)
- **Repository:** <https://github.com/code-lawyer/rag-retriever>

## 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": "code-lawyer-rag-retriever"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/code-lawyer-rag-retriever` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/code-lawyer-rag-retriever/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