# RAG Database MCP Server

> Use this tool when you need to enable AI assistants to search and query PDF documents locally, providing semantic search capabilities without relying on external dependencies. It solves problems of secure and private document search, and integrates through a local RAG system with vector embeddings. Ideal for use cases requiring data privacy and offline access to document repositories.

Canonical page: https://skillsregistry.net/skills/human-center-rag-mcp-hcsrl  
JSON: https://api.skillsregistry.net/v1/skills/human-center-rag-mcp-hcsrl

## Description

Enables AI assistants to search and query PDF documents through a local RAG system with vector embeddings. Provides semantic document search capabilities while keeping all data stored locally without external dependencies.

## Trust

- **Trust score (0–1):** 0.52
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/fk4j88gwg8)
- **Repository:** <https://github.com/Human-center/RAG-MCP-HCSRL>

## 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": "human-center-rag-mcp-hcsrl"
    }
  }
}
```

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