Provides comprehensive document processing, including reading, converting, and manipulating various document formats with advanced text and HTML processing capabilities.
A powerful Model Context Protocol (MCP) server providing comprehensive document processing capabilities.
To install Document Processing Server for Claude Desktop automatically via Smithery:
npx -y @smithery/cli install @cablate/mcp-doc-forge --client claudenpm install -g @cablate/mcp-doc-forgemcp-doc-forge{
"mcpServers": {
"searxng": {
"command": "npx",
"args": [
"-y",
"@cablate/mcp-doc-forge"
],
"enabled": true
}
}
}MIT
Welcome community participation and contributions! Here are ways to contribute:
If you have any questions or suggestions, feel free to reach out:
[
{
"description": "Read content from non-image document-files at specified paths, supporting various file formats: .pdf, .docx, .txt, .html, .csv",
"inputSchema": {
"properties": {
"filePath": {
"description": "Path to the file to be read",
"type": "string"
}
},
"required": [
"filePath"
],
"type": "object"
},
"name": "document_reader"
},
{
"description": "Merge multiple PDF files into one",
"inputSchema": {
"properties": {
"inputPaths": {
"description": "Paths to the input PDF files",
"items": {
"type": "string"
},
"type": "array"
},
"outputDir": {
"description": "Directory where merged PDFs should be saved",
"type": "string"
}
},
"required": [
"inputPaths",
"outputDir"
],
"type": "object"
},
"name": "pdf_merger"
},
{
"description": "Split a PDF file into multiple files",
"inputSchema": {
"properties": {
"inputPath": {
"description": "Path to the input PDF file",
"type": "string"
},
"outputDir": {
"description": "Directory where split PDFs should be saved",
"type": "string"
},
"pageRanges": {
"description": "Array of page ranges to split",
"items": {
"properties": {
"end": {
"type": "number"
},
"start": {
"type": "number"
}
},
"type": "object"
},
"type": "array"
}
},
"required": [
"inputPath",
"outputDir",
"pageRanges"
],
"type": "object"
},
"name": "pdf_splitter"
},
{
"description": "Convert DOCX files to PDF format",
"inputSchema": {
"properties": {
"inputPath": {
"description": "Path to the input DOCX file",
"type": "string"
},
"outputPath": {
"description": "Path where the output PDF file should be saved",
"type": "string"
}
},
"required": [
"inputPath",
"outputPath"
],
"type": "object"
},
"name": "docx_to_pdf"
},
{
"description": "Convert DOCX to HTML while preserving formatting",
"inputSchema": {
"properties": {
"inputPath": {
"description": "Path to the input DOCX file",
"type": "string"
},
"outputDir": {
"description": "Directory where HTML should be saved",
"type": "string"
}
},
"required": [
"inputPath",
"outputDir"
],
"type": "object"
},
"name": "docx_to_html"
},
{
"description": "Clean HTML by removing unnecessary tags and attributes",
"inputSchema": {
"properties": {
"inputPath": {
"description": "Path to the input HTML file",
"type": "string"
},
"outputDir": {
"description": "Directory where cleaned HTML should be saved",
"type": "string"
}
},
"required": [
"inputPath",
"outputDir"
],
"type": "object"
},
"name": "html_cleaner"
},
{
"description": "Convert HTML to plain text while preserving structure",
"inputSchema": {
"properties": {
"inputPath": {
"description": "Path to the input HTML file",
"type": "string"
},
"outputDir": {
"description": "Directory where text file should be saved",
"type": "string"
}
},
"required": [
"inputPath",
"outputDir"
],
"type": "object"
},
"name": "html_to_text"
},
{
"description": "Convert HTML to Markdown format",
"inputSchema": {
"properties": {
"inputPath": {
"description": "Path to the input HTML file",
"type": "string"
},
"outputDir": {
"description": "Directory where Markdown file should be saved",
"type": "string"
}
},
"required": [
"inputPath",
"outputDir"
],
"type": "object"
},
"name": "html_to_markdown"
},
{
"description": "Extract all resources (images, videos, links) from HTML",
"inputSchema": {
"properties": {
"inputPath": {
"description": "Path to the input HTML file",
"type": "string"
},
"outputDir": {
"description": "Directory where resources should be saved",
"type": "string"
}
},
"required": [
"inputPath",
"outputDir"
],
"type": "object"
},
"name": "html_extract_resources"
},
{
"description": "Format and beautify HTML code",
"inputSchema": {
"properties": {
"inputPath": {
"description": "Path to the input HTML file",
"type": "string"
},
"outputDir": {
"description": "Directory where formatted HTML should be saved",
"type": "string"
}
},
"required": [
"inputPath",
"outputDir"
],
"type": "object"
},
"name": "html_formatter"
},
{
"description": "Compare two text files and show differences",
"inputSchema": {
"properties": {
"file1Path": {
"description": "Path to the first text file",
"type": "string"
},
"file2Path": {
"description": "Path to the second text file",
"type": "string"
},
"outputDir": {
"description": "Directory where diff result should be saved",
"type": "string"
}
},
"required": [
"file1Path",
"file2Path",
"outputDir"
],
"type": "object"
},
"name": "text_diff"
},
{
"description": "Split text file by specified delimiter or line count",
"inputSchema": {
"properties": {
"inputPath": {
"description": "Path to the input text file",
"type": "string"
},
"outputDir": {
"description": "Directory where split files should be saved",
"type": "string"
},
"splitBy": {
"description": "Split method: by line count or delimiter",
"enum": [
"lines",
"delimiter"
],
"type": "string"
},
"value": {
"description": "Line count (number) or delimiter string",
"type": "string"
}
},
"required": [
"inputPath",
"outputDir",
"splitBy",
"value"
],
"type": "object"
},
"name": "text_splitter"
},
{
"description": "Format text with proper indentation and line spacing",
"inputSchema": {
"properties": {
"inputPath": {
"description": "Path to the input text file",
"type": "string"
},
"outputDir": {
"description": "Directory where formatted file should be saved",
"type": "string"
}
},
"required": [
"inputPath",
"outputDir"
],
"type": "object"
},
"name": "text_formatter"
},
{
"description": "Convert text between different encodings",
"inputSchema": {
"properties": {
"fromEncoding": {
"description": "Source encoding (e.g., 'big5', 'gbk', 'utf8')",
"type": "string"
},
"inputPath": {
"description": "Path to the input text file",
"type": "string"
},
"outputDir": {
"description": "Directory where converted file should be saved",
"type": "string"
},
"toEncoding": {
"description": "Target encoding (e.g., 'utf8', 'big5', 'gbk')",
"type": "string"
}
},
"required": [
"inputPath",
"outputDir",
"fromEncoding",
"toEncoding"
],
"type": "object"
},
"name": "text_encoding_converter"
},
{
"description": "Read Excel file and convert to JSON format while preserving structure",
"inputSchema": {
"properties": {
"includeHeaders": {
"default": true,
"description": "Whether to include headers in the output",
"type": "boolean"
},
"inputPath": {
"description": "Path to the input Excel file",
"type": "string"
}
},
"required": [
"inputPath"
],
"type": "object"
},
"name": "excel_read"
},
{
"description": "Convert between different document formats (Markdown, HTML, XML, JSON)",
"inputSchema": {
"properties": {
"fromFormat": {
"description": "Source format",
"enum": [
"markdown",
"html",
"xml",
"json"
],
"type": "string"
},
"input": {
"description": "Input content to convert",
"type": "string"
},
"toFormat": {
"description": "Target format",
"enum": [
"markdown",
"html",
"xml",
"json"
],
"type": "string"
}
},
"required": [
"input",
"fromFormat",
"toFormat"
],
"type": "object"
},
"name": "format_convert"
}
]