Simple Document Processing MCP Server
[](https://mseep.ai/app/cablate-mcp-doc-forge)
# Simple Document Processing MCP Server
[](https://smithery.ai/server/@cablate/mcp-doc-forge)
A powerful Model Context Protocol (MCP) server providing comprehensive document processing capabilities.
<a href="https://glama.ai/mcp/servers/pb9df6lnel"><img width="380" height="200" src="https://glama.ai/mcp/servers/pb9df6lnel/badge" alt="Simple Document Processing Server MCP server" /></a>
## Features
### Document Reader
- Read DOCX, PDF, TXT, HTML, CSV
### Document Conversion
- DOCX to HTML/PDF conversion
- HTML to TXT/Markdown conversion
- PDF manipulation (merge, split)
### Text Processing
- Multi-encoding transfer support (UTF-8, Big5, GBK)
- Text formatting and cleaning
- Text comparison and diff generation
- Text splitting by lines or delimiter
### HTML Processing
- HTML cleaning and formatting
- Resource extraction (images, links, videos)
- Structure-preserving conversion
## Installation
### Installing via Smithery
To install Document Processing Server for Claude Desktop automatically via [Smithery](https://smithery.ai/server/@cablate/mcp-doc-forge):
```bash
npx -y @smithery/cli install @cablate/mcp-doc-forge --client claude
```
### Manual Installation
```bash
npm install -g @cablate/mcp-doc-forge
```
## Usage
### Cli
```bash
mcp-doc-forge
```
### With [Dive Desktop](https://github.com/OpenAgentPlatform/Dive)
1. Click "+ Add MCP Server" in Dive Desktop
2. Copy and paste this configuration:
```json
{
"mcpServers": {
"searxng": {
"command": "npx",
"args": [
"-y",
"@cablate/mcp-doc-forge"
],
"enabled": true
}
}
}
```
3. Click "Save" to install the MCP server
## License
MIT
## Contributing
Welcome community participation and contributions! Here are ways to contribute:
- ⭐️ Star the project if you find it helpful
- 🐛 Submit Issues: Report problems or provide suggestions
- 🔧 Create Pull Requests: Submit code improvements
## Contact
If you have any questions or suggestions, feel free to reach out:
- 📧 Email: [reahtuoo310109@gmail.com](mailto:reahtuoo310109@gmail.com)
- 📧 GitHub: [CabLate](https://github.com/cablate/)
- 🤝 Collaboration: Welcome to discuss project cooperation
- 📚 Technical Guidance: Sincere welcome for suggestions and guidance
TDQS
Scored across 16 tools
Each tool targets a distinct operation: reading various formats, specific conversions (docx, html, pdf, text), and manipulations. There is no overlap in purpose; even similar conversions like html_to_markdown and html_to_text are clearly differentiated.
All tool names follow the verb_noun pattern (e.g., document_reader, docx_to_html, text_splitter) using consistent snake_case. The naming is predictable and easy to understand.
With 16 tools, the count is slightly above the typical range of 3-15, but it is justified by the breadth of document formats and operations covered, making it reasonable for the server's purpose.
The tool set covers reading, converting, and manipulating common document formats (PDF, DOCX, HTML, text, Excel). Minor gaps exist, such as missing direct docx-to-text conversion (though document_reader can read docx), but the overall surface is comprehensive for most document processing needs.