# local-corporate-kb

> local-corporate-kb — arptra-kb-rag-mcp. Use this tool when you need to index and semantically search local documents, or retrieve specific files based on metadata filters. It enables efficient document management and information retrieval without relying on external dependencies. Ideal for use cases requiring self-contained knowledge bases and precise document querying.

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

## Description

Local RAG knowledge base for Qwen Code, enabling document indexing and semantic search via MCP tools. Supports metadata filtering and document retrieval without external dependencies.

## Trust

- **Trust score (0–1):** 0.16
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mjntuusdsb)
- **Repository:** <https://github.com/arptra/kb-rag-mcp>

## 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": "arptra-kb-rag-mcp"
    }
  }
}
```

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