About File Converter
File Converter is an MCP server in the Files category: a Model Context Protocol (MCP) server that empowers AI agents to convert images (PNG, JPG, WebP, AVIF) and structured data (JSON, CSV, YAML) through simple tool calls.
Install
git clone https://github.com/proflulab/documentassistantThis server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.
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README
DocumentAssistant
An MCP server built with Smithery.
Prerequisites
- Smithery API key: Get yours at smithery.ai/account/api-keys
Getting Started
-
Run the server:
uv run dev -
Test interactively:
uv run playground
Development
Your server code is in src/document_assistant/server.py. Add or update your server capabilities there.
Deploy
Ready to deploy? Push your code to GitHub and deploy to Smithery:
-
Create a new repository at github.com/new
-
Initialize git and push to GitHub:
git add . git commit -m "Initial commit" git remote add origin https://github.com/YOUR_USERNAME/YOUR_REPO.git git push -u origin main -
Deploy your server to Smithery at smithery.ai/new
本地使用指南
安装依赖
确保您已安装 Python 和必要的库。使用以下命令安装：
pip install -r requirements.txt # 如果有 requirements.txt 文件
或者使用 uv：
uv sync
运行服务器
- 运行开发服务器：
uv run dev
测试和互动
- 互动测试：
uv run playground
使用文件转换功能
- 在服务器运行时，使用 MCP 接口调用
convert_file工具。 - 参数: input_path (输入文件路径), target_format (目标格式, 如 'md', 'docx' 等)。
- 示例: convert_file("example.txt", "md") 将生成 example.md。
本地脚本使用
docx to pdf
python docx_to_pdf_converter.py "Lulab_优秀学员_Yang_Jinze.docx" "Lulab_优秀学员_Yang_Jinze.pdf"
README copy captured when this server was indexed; it may lag the repository. The original is authoritative.