# mcp-rag-server

> mcp-rag-server — daniel-barta-mcp-rag-server. Use this tool when you need to integrate large language models (LLMs) with source code and documentation for efficient search and citation capabilities. It ingests source code and docs, builds a vector index, and exposes search functionality via the Model Context Protocol (MCP) tools. Ideal for use cases involving git-based code repositories, allowing LLMs to tap into codebases and documentation for informed decision-making.

Canonical page: https://skillsregistry.net/skills/daniel-barta-mcp-rag-server  
JSON: https://api.skillsregistry.net/v1/skills/daniel-barta-mcp-rag-server

## Description

Lightweight RAG server for the Model Context Protocol: ingest source code, docs, build a vector index, and expose search/citations to LLMs via MCP tools.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/Daniel-Barta/mcp-rag-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": "daniel-barta-mcp-rag-server"
    }
  }
}
```

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