Feishu Tools MCP
The Feishu MCP Plugin is a service that connects Feishu with AI coding tools (such as Cursor), providing functions such as document reading, message sending, and contract approval.
rating : 2 points
downloads : 8
What is the Feishu MCP Plugin?
The Feishu MCP Plugin is a bridge service that allows AI assistants (such as Cursor) to directly interact with the Feishu platform. It enables AI to read the content of Feishu documents, send messages, process approval processes, etc., to achieve automated office scenarios.How to use the Feishu MCP Plugin?
You need to create a self - built Feishu application first to obtain API credentials, then start the MCP service and connect it to the AI tool. In the Agent mode of AI, you can let the AI process the content by inputting the Feishu document link.Applicable Scenarios
Suitable for enterprise office automation scenarios that require AI to automatically process Feishu document content, automatically send notification messages, and automate approval processes.Main Features
Document ReadingGet the plain text content of Feishu documents for AI processing
Message SendingAutomatically send Feishu messages through AI
Contract ApprovalAutomatically process Feishu approval processes
Advantages and Limitations
Advantages
Establish a two - way interaction channel between AI and Feishu
Support the integration of multiple core Feishu functions
Flexible combination of automated office scenarios
Limitations
Requires the configuration of a self - built Feishu application, and the process is relatively complex
Currently, the functions are mainly concentrated on document and message processing
Subject to the permission restrictions of the Feishu API
How to Use
Create a Self - built Feishu Application
Create an application on the Feishu Open Platform and obtain the app_id and app_secret
Configure Environment Variables
Copy the.env.example file to.env and fill in the Feishu application credentials
Start the Service
Install dependencies and run the MCP service
Connect to Cursor
Add the MCP service configuration in Cursor
Usage Examples
Document Content SummaryLet the AI automatically read Feishu documents and generate summaries
Automatic Notification SendingAutomatically send Feishu notifications based on the processing results
Frequently Asked Questions
How to obtain the app_id and app_secret of a Feishu application?
Why can't the AI read my document?
Related Resources
Feishu API Call Guide
Basic concepts and call methods of the Feishu API
Application Permission Configuration Guide
How to add required permissions to the application
Featured MCP Services

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
141
4.5 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points

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

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
87
4.3 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
6.7K
4.5 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#
567
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
754
4.8 points

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