钉钉文档解析
An MCP server for parsing DingTalk document content and generating HTML, providing both Python and Node.js versions. It supports intelligent cookie management, automatic login, and rendering of multiple document elements.
rating : 2.5 points
downloads : 4.5K
What is the DingTalk Document Parser MCP Server?
This is an intelligent tool that can automatically parse the content of DingTalk documents and convert it into a beautiful HTML format. It integrates with AI assistants (such as Cursor) through the Model Context Protocol (MCP), allowing you to simply send a document link, and the AI will help you extract and analyze the document content.How to use this service?
It's very simple to use: 1) Install and configure the server. 2) Send a DingTalk document link in the AI chat. 3) The AI will automatically parse and return the HTML content. It supports full URLs or document IDs, eliminating the need to manually copy and paste content.Applicable scenarios
Suitable for scenarios that require batch processing of DingTalk documents, converting document content into other formats, or AI analysis of document content. Particularly suitable for team knowledge base organization, document archiving, content analysis, and other needs.Main Features
Intelligent Document Parsing
Automatically recognize DingTalk document links, extract document content, and support various elements such as paragraphs, tables, images, and code blocks.
Dual Version Support
Provides both Python and Node.js versions, allowing you to choose based on your technology stack. The Node.js version starts faster and has a smaller footprint.
Intelligent Cookie Management
The Node.js version supports automatic login to DingTalk without manually copying cookies. It automatically detects cookie validity and guides you to log in again.
Beautiful HTML Output
Generate HTML files with gradient backgrounds, responsive designs, code highlighting, and adaptive image display.
One-Click Code Copy
Code blocks support one-click copy functionality, making it convenient for developers to use code examples in documents.
Automatic Archiving and Organization
Automatically create folders based on document titles to save original data and generated HTML files for easy management.
Advantages
No need to manually copy and paste: The AI automatically parses document content, saving time.
Supports multiple document elements: Tables, images, code blocks, etc. can be perfectly converted.
Intelligent login management: The Node.js version automatically handles cookies, reducing configuration hassle.
Dual version options: You can choose between Python and Node.js versions based on your team's technology stack.
Beautiful output: The generated HTML files are professional and beautiful and can be used directly.
Limitations
Requires a DingTalk account: You must log in to DingTalk to access documents.
Restrictions on some encrypted content: The content of OSS-encrypted documents may not be fully parsed.
Cookies expire: You need to update them regularly (the Node.js version can handle this automatically).
Limited support for special elements: Special formats such as lists and quote blocks may not be displayed perfectly.
How to Use
Choose a Version
Choose the Python or Node.js version based on your technology stack. The Node.js version starts faster and has intelligent cookie management, making it recommended for new users.
Configure Cookies
The Python version requires you to manually set the Cookie environment variable. The Node.js version can run an automatic login command, and the browser will automatically open for you to scan the QR code and log in.
Configure the MCP Server
Add the MCP server configuration to the configuration file of AI tools such as Cursor, specifying the server path and parameters.
Start Using
Send a DingTalk document link directly in the AI chat, and the AI will automatically call the tool to parse the document and return the result.
Usage Examples
Technical Document Archiving
Export your team's technical documents from DingTalk to HTML format and build a local knowledge base.
Meeting Minutes Organization
Extract the content of meeting minutes from DingTalk for AI analysis of meeting highlights.
Code Example Extraction
Extract code blocks from technical documents for easy direct copying and use.
Frequently Asked Questions
What are the differences between the Python and Node.js versions?
How to obtain a DingTalk cookie?
Which document elements are supported?
Where will the parsed documents be saved?
What should I do if the cookie expires?
What permissions are required to access documents?
Related Resources
Detailed Documentation for the Python Version
Detailed instructions for installing, configuring, and using the Python version.
Detailed Documentation for the Node.js Version
Detailed instructions for installing, configuring, and using the Node.js version (recommended).
Model Context Protocol Official Website
Understand the technical details and specifications of the MCP protocol.
DingTalk Document Official Website
The official platform for DingTalk documents.
GitHub Repository
Project source code and the latest updates.

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