# AI Material Cabinet MCP

> AI Material Cabinet MCP — eblics-ai-cailiaogui-mcp. Use this tool when you need to access and manage local AI content, such as searching and retrieving information, creating documents, and reading/writing data. The AI Material Cabinet MCP enables AI assistants to interact with a local content repository, providing a seamless interface for content creation and retrieval. It is ideal for use cases where localized content management and access are required, with inputs including search queries and content requests, and outputs including relevant information and generated documents.

Canonical page: https://skillsregistry.net/skills/eblics-ai-cailiaogui-mcp  
JSON: https://api.skillsregistry.net/v1/skills/eblics-ai-cailiaogui-mcp

## Description

Enables AI assistants like Cursor and Claude Desktop to access a local AI Material Cabinet for searching, reading/writing content, creating documents, and retrieving chunks via MCP.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/difls8dc96)
- **Repository:** <https://github.com/eblics/ai-cailiaogui-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": "eblics-ai-cailiaogui-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eblics-ai-cailiaogui-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eblics-ai-cailiaogui-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