# Enterprise Internal Knowledge Base RAG MCP Server

> Enterprise Internal Knowledge Base RAG MCP Server — kimsb2429-internal-knowledge-base. Use this tool when you need to query large volumes of internal knowledge bases, such as VA education manuals, to retrieve relevant information with ranked chunks and citations. It solves problems of information overload and inefficient knowledge retrieval, providing a production-ready pipeline for retrieval-augmented generation. Ideal for use cases where integrated querying and generation are required, such as research, document creation, or question answering.

Canonical page: https://skillsregistry.net/skills/kimsb2429-internal-knowledge-base  
JSON: https://api.skillsregistry.net/v1/skills/kimsb2429-internal-knowledge-base

## Description

A production-ready RAG pipeline exposed as an MCP server, enabling querying of VA education manuals with ranked chunks and citations, and integrated with Claude Desktop for retrieval-augmented generation.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cgyfgfe22d)
- **Repository:** <https://github.com/kimsb2429/internal-knowledge-base>

## 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": "kimsb2429-internal-knowledge-base"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kimsb2429-internal-knowledge-base` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kimsb2429-internal-knowledge-base/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