MCP Parse Document
The MCP Document Parse Tool project provides document parsing service functions
rating : 2.5 points
downloads : 5.8K
What is the MCP Document Parse Tool?
The MCP Document Parse Tool is a server tool based on the Model Context Protocol (MCP), specifically designed to parse and process documents in various formats. It can convert common document formats such as PDF, Word, Excel, PowerPoint, Markdown, and HTML into structured data, enabling AI assistants to intelligently access and understand the document content.How to use the MCP Document Parse Tool?
You can use this tool through an AI assistant that supports the MCP protocol (such as Claude Desktop). Simply provide the document file to the AI assistant, and the tool will automatically parse the document content, allowing the AI to answer questions about the document, extract key information, or summarize the main points of the document.Use cases
Suitable for scenarios that require processing a large number of documents, such as legal document analysis, academic paper research, business report summarization, technical document query, contract review, and unified processing of multi - format documents.Main Features
Multi - format support
Supports parsing multiple common document formats such as PDF, DOCX, XLSX, PPTX, MD, HTML, and TXT
Intelligent content extraction
Automatically identifies the document structure and extracts structured information such as text, tables, image descriptions, and title hierarchies
MCP protocol integration
Developed based on the Model Context Protocol standard and can be seamlessly integrated with various AI assistants that support MCP
Batch processing capability
Supports processing multiple documents simultaneously to improve document analysis efficiency
Metadata extraction
Automatically extracts metadata information such as document creation time, author, number of pages, and file size
Advantages
No need to install complex software; can be used through an AI assistant
Supports multiple document formats, reducing the trouble of format conversion
Fast parsing speed and high processing efficiency
Based on the open - source MCP protocol, with good scalability
Can maintain the original structure and format information of the document
Limitations
Limited OCR recognition accuracy for scanned PDFs
Processing very large documents (over 100MB) may take a long time
Some documents in complex formats may not be parsed perfectly
Requires an AI assistant that supports the MCP protocol to use
How to Use
Install the MCP client
Ensure that the AI assistant you are using (such as Claude Desktop) is correctly configured and supports the MCP protocol
Configure the MCP server
Add the server address of the MCP Document Parse Tool to the configuration file of the AI assistant
Upload the document
Upload the document file to be parsed through the AI assistant's interface or command line
Send the parsing instruction
Send an instruction to the AI assistant to parse the document, such as "Please parse this document and summarize the main points"
Get the parsing result
The AI assistant will return the parsed structured content, and you can ask further questions or process it
Usage Examples
Academic paper analysis
Researchers need to quickly understand the core content of multiple academic papers
Business report summarization
Business people need to quickly read a long annual report
Contract review assistance
Legal professionals need to check the compliance of contract terms
Technical document query
Developers need to find specific information in a large technical document
Frequently Asked Questions
Which document formats does the MCP Document Parse Tool support?
Is there a limit to the size of the document to be parsed?
Do I need an internet connection to use it?
How can I improve the recognition accuracy of scanned PDFs?
Can I process multiple documents in batches?
How can I save the parsed data?
Related Resources
Project GitHub repository
Source code, latest version, and issue feedback
Official documentation of the Model Context Protocol
Technical specifications and development guidelines for the MCP protocol
Claude Desktop configuration guide
How to configure Claude Desktop to use the MCP tool
Example configuration files
Configuration examples for various AI assistants

Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
31.0K
5 points

Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
18.9K
4.5 points

Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
21.6K
4.3 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
62.9K
4.3 points

Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
26.8K
5 points

Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
57.4K
4.5 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
18.8K
4.5 points

Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
41.1K
4.8 points
