# Education_Knowledge_Base_MCP_OpenSource

> Education_Knowledge_Base_MCP_OpenSource — booksboss17-education-knowledge-base-mcp-opensource. Use this tool when you need to convert Word or PDF documents into Markdown format for educational knowledge bases, supporting features like source tracking, task logging, and agent review. It solves problems of document conversion, knowledge management, and model deployment for teaching purposes. The tool takes in Word or PDF files and outputs Markdown files with embedded formulas, tables, and figure references, utilizing git for version control.

Canonical page: https://skillsregistry.net/skills/booksboss17-education-knowledge-base-mcp-opensource  
JSON: https://api.skillsregistry.net/v1/skills/booksboss17-education-knowledge-base-mcp-opensource

## Description

面向教学知识库的可扩展本地 MCP 基底。内置 BeMarkdown，将 Word/PDF 转换为包含正文、公式、表格和示意图引用的中间 Markdown，支持来源追溯、任务日志与 agent 复核，并提供模型自动下载和部署脚本。

## Trust

- **Trust score (0–1):** 0.45
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** AGPL-3.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/BooksBoss17/Education_Knowledge_Base_MCP_OpenSource)

## 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": "booksboss17-education-knowledge-base-mcp-opensource"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/booksboss17-education-knowledge-base-mcp-opensource` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/booksboss17-education-knowledge-base-mcp-opensource/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