M

MCP Framework

The MCP development framework is a powerful framework for creating custom tools to interact with large language models. It provides functions such as file processing and web content retrieval, supports multiple formats such as PDF, Word, and Excel, and has technical features such as intelligent recognition, efficient processing, and memory optimization.
2.5 points
36

What is the MCP Development Framework?

The MCP (Model Context Protocol) development framework is a powerful toolset for extending the functionality of Cursor IDE and enabling advanced interactions with large language models. It provides functions such as file processing and web content retrieval, allowing non-technical users to easily leverage AI capabilities to process various documents and web content.

How to use the MCP Development Framework?

You can use various functions of the MCP framework through simple commands. For example, to process a file, simply enter 'file file_path', and to retrieve web content, use 'url website_url'. The framework will automatically recognize the file type and select the best processing method.

Applicable Scenarios

Suitable for work scenarios that require processing various documents (PDF/Word/Excel), extracting web content, and interacting with AI models. Particularly suitable for users such as researchers, data analysts, and content creators who need to process large amounts of documents and information.

Main Features

Comprehensive File ProcessingAutomatically recognize and process PDF, Word, and Excel files, and return structured content
PDF Document ProcessingSupport two modes: quick preview and full parsing, and can extract text and images
Word Document ParsingExtract text content, table, and image information, and retain the original format
Excel File ProcessingParse all worksheets in an Excel file and provide complete table data and structure information
Web Content RetrievalRetrieve the text content of any web page, with complete HTTP error handling and timeout management

Advantages and Limitations

Advantages
Intelligent file type recognition and automatic selection of the best processing method
Efficient document processing, supporting large files
Memory optimization and automatic cleaning of temporary resources
Complete error handling and user feedback
Limitations
There is a page limit for PDF processing (30 pages in full mode and 50 pages in quick mode)
Some documents with complex formats may not be perfectly parsed
Requires installing a Python environment or using Docker

How to Use

Installation and Deployment
You can choose Docker deployment (recommended) or traditional Python deployment methods
Configure Cursor IDE
Add the MCP server in the Cursor IDE settings, select'sse' as the type, and fill in 'http://localhost:8000/sse' for the URL
Start Using
Enter commands in Cursor IDE to call various functions, such as processing files or retrieving web content

Usage Examples

Extract the Summary of a PDF ReportQuickly extract the key content summary from a long PDF report
Analyze Excel DataQuickly analyze the data trends in an Excel table
Retrieve Web NewsRetrieve the latest content from a news website and generate a summary

Frequently Asked Questions

What file formats does the MCP framework support?
What are the limitations when processing large PDF files?
How to retrieve the image content from a web page?
How will the tables in a Word document be processed?
Does Excel processing support formula calculation?

Related Resources

Official GitHub Repository
Project source code and latest updates
PyMuPDF Documentation
Official documentation for the PDF processing library
MCP Framework Getting Started Video
A quick getting started tutorial for the MCP framework
Cursor IDE Official Website
The official website of the IDE integrating the MCP framework
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
Featured MCP Services
M
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
1.7K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
823
4.3 points
G
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
79
4.3 points
N
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
130
4.5 points
U
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#
554
5 points
F
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
6.6K
4.5 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points
M
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
745
4.8 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase