# knowledge-base

> knowledge-base — caitao-ct-knowledge-base. Use this tool when you need to manage and retrieve knowledge or integrate with Model Context Protocol (MCP) for AI model development, providing a centralized repository with git version control for efficient knowledge base management and RAG server functionality. It solves problems related to data consistency, model context, and knowledge retrieval, accepting inputs such as queries and git updates, and outputting relevant information and model context data. Ideal for use cases involving AI model training, knowledge graph construction, and data integration.

Canonical page: https://skillsregistry.net/skills/caitao-ct-knowledge-base  
JSON: https://api.skillsregistry.net/v1/skills/caitao-ct-knowledge-base

## Description

A dual-purpose Knowledge Base and MCP (Model Context Protocol) RAG Server

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/caitao-ct/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": "caitao-ct-knowledge-base"
    }
  }
}
```

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