Jiang Feishu MCP
J

Jiang Feishu MCP

An MCP service connecting to Feishu Docs, supporting access to document spaces and lists, and seamless integration with AI clients.
2.5 points
13.5K

What is the Feishu Docs MCP Service?

The Feishu Docs MCP service acts as a bridge, enabling you to directly access and manage your Feishu Docs within AI tools (such as Cursor). It connects AI clients and Feishu Docs through a standard protocol, allowing you to operate on documents without switching applications.

How to use the Feishu Docs MCP Service?

Simply configure it, start the service, and add the MCP server address in the AI client. Then you can access Feishu Docs via natural language instructions.

Use Cases

It is particularly useful when you need to refer to or edit Feishu Docs while using AI tools. For example, when writing, you can reference document content, organize document directories, and quickly find relevant materials.

Main Features

List Document Spaces
Get a list of all cloud document spaces in Feishu
List Documents
Get a list of all documents in a specified space
MCP Protocol Integration
Seamlessly connect with AI clients through a standard protocol
Advantages
Access Feishu Docs without leaving the AI working environment
Operate on documents using natural language instructions to improve efficiency
Standardized protocol supporting multiple AI clients
Limitations
Need to configure Feishu app permissions
Currently only supports viewing document lists
Requires running the service locally

How to Use

Install the Service
Clone the project and install dependencies
Configure the Feishu App
Create an app on the Feishu Open Platform and obtain credentials
Start the Service
Run the service and configure it in the AI client
Connect to the AI Client
Add the MCP server address in AI tools such as Cursor

Usage Examples

Find Project Documents
When you need to find documents for a specific project
Organize Document Directories
When you need to understand the structure of all document spaces

Frequently Asked Questions

How to obtain Feishu app credentials?
Which AI clients does the service support?
Can I edit document content?

Related Resources

Feishu Open Platform
Feishu app development platform
MCP Protocol Description
Official documentation of the Model Context Protocol
Project Code Repository
Source code of the Feishu Docs MCP service

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

A
Airweave
Airweave is an open - source context retrieval layer for AI agents and RAG systems. It connects and synchronizes data from various applications, tools, and databases, and provides relevant, real - time, multi - source contextual information to AI agents through a unified search interface.
Python
14.2K
5 points
V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
9.9K
4.5 points
M
Moltbrain
MoltBrain is a long-term memory layer plugin designed for OpenClaw, MoltBook, and Claude Code, capable of automatically learning and recalling project context, providing intelligent search, observation recording, analysis statistics, and persistent storage functions.
TypeScript
9.4K
4.5 points
B
Bm.md
A feature-rich Markdown typesetting tool that supports multiple style themes and platform adaptation, providing real-time editing preview, image export, and API integration capabilities
TypeScript
16.2K
5 points
S
Security Detections MCP
Security Detections MCP is a server based on the Model Context Protocol that allows LLMs to query a unified security detection rule database covering Sigma, Splunk ESCU, Elastic, and KQL formats. The latest version 3.0 is upgraded to an autonomous detection engineering platform that can automatically extract TTPs from threat intelligence, analyze coverage gaps, generate SIEM-native format detection rules, run tests, and verify. The project includes over 71 tools, 11 pre-built workflow prompts, and a knowledge graph system, supporting multiple SIEM platforms.
TypeScript
6.4K
4 points
P
Paperbanana
Python
9.2K
5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
9.5K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
9.1K
5 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
26.1K
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
22.8K
4.5 points
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
37.6K
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
78.7K
4.3 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
69.4K
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#
35.8K
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
104.2K
4.7 points
G
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
23.1K
4.5 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase