Integrations
Provides a Node.js-based MCP server that encapsulates Feishu/Lark Open Platform API interfaces, allowing AI assistants to directly call these interfaces for various automation scenarios.
Feishu/Lark OpenAPI MCP
English | 中文
⚠️ Beta Version Notice: This tool is currently in Beta stage. Features and APIs may change, so please stay updated with version releases.
This is the Feishu/Lark official OpenAPI MCP (Model Context Protocol) tool designed to help users quickly connect to the Feishu/Lark platform and enable efficient collaboration between AI Agents and Feishu/Lark. The tool encapsulates Feishu/Lark Open Platform API interfaces as MCP tools, allowing AI assistants to directly call these interfaces and implement various automation scenarios such as document processing, conversation management, calendar scheduling, and more.
Features
- Complete Feishu/Lark API Toolkit: Encapsulates almost all Feishu/Lark API interfaces, including message management, group management, document operations, calendar events, Bitable, and other core functional areas.
- Dual Authentication Support:
- Supports App Access Token authentication
- Supports User Access Token authentication
- Flexible Communication Protocols:
- Supports standard input/output stream (stdio) mode, suitable for integration with AI tools like Cursor/Claude
- Supports Server-Sent Events (SSE) mode, providing HTTP-based interfaces
- Supports multiple configuration methods, adapting to different usage scenarios
Tool List
A complete list of all supported Feishu/Lark tools can be found in tools.md, where tools are categorized by project and version with descriptions.
Preparation
Creating a Feishu/Lark Application
Before using the lark-mcp tool, you need to create a Feishu/Lark application:
- Visit the Feishu Open Platform or Lark Open Platform and log in
- Click "Get Started" and create a new application
- Obtain the App ID and App Secret, which will be used for API authentication
- Add the necessary permissions for your application based on your usage scenario
- If you need to call APIs as a user, set up OAuth 2.0 redirect URLs and obtain user access tokens
For detailed application creation and configuration guidelines, please refer to the Feishu Open Platform Documentation - Creating an Application or the Lark Open Platform Documentation.
Installing Node.js
Before using the lark-mcp tool, you need to install the Node.js environment.
Installing Node.js on macOS
- Using Homebrew (Recommended):Copy
- Using the Official Installer:
- Visit the Node.js website
- Download and install the LTS version
- After installation, verify in the terminal:Copy
Installing Node.js on Windows
- Using the Official Installer:
- Visit the Node.js website
- Download and run the Windows installer (.msi file)
- Follow the installation wizard to complete the installation
- After installation, verify in the command prompt:Copy
- Using nvm-windows:
- Download nvm-windows
- Install nvm-windows
- Use nvm to install Node.js:Copy
Installation
Install the lark-mcp tool globally:
Usage Guide
Using with Cursor/Claude
To integrate Feishu/Lark functionality in AI tools like Cursor or Claude, add the following to your configuration file:
To access APIs with user identity, you can add a user access token:
Advanced Configuration
Command Line Parameters
The lark-mcp
tool provides various command line parameters for flexible MCP service configuration:
Parameter | Short | Description | Example |
---|---|---|---|
--app-id | -a | Feishu/Lark application App ID | -a cli_xxxx |
--app-secret | -s | Feishu/Lark application App Secret | -s xxxx |
--domain | -d | Feishu/Lark API domain, default is Feishu China version | -d https://open.larksuite.com |
--tools | -t | List of API tools to enable, separated by commas | -t im.v1.message.create,im.v1.chat.create |
--tool-name-case | -c | Tool name format, options are snake, camel, dot, or kebab, default is snake | -c camel |
--language | -l | Tools language, options are zh or en, default is en | -l zh |
--user-access-token | -u | User access token for calling APIs as a user | -u u-xxxx |
--mode | -m | Transport mode, options are stdio or sse, default is stdio | -m sse |
--host | Listening host in SSE mode, default is localhost | --host 0.0.0.0 | |
--port | -p | Listening port in SSE mode, default is 3000 | -p 3000 |
--config | Configuration file path, supports JSON format | --config ./config.json | |
--version | -V | Display version number | -V |
--help | -h | Display help information | -h |
Parameter Usage Examples
- Basic Usage (using application identity):Copy
- Using User Identity:Copy
- Specifying Lark International Domain:Copy
- Enabling Only Specific API Tools:Copy
- Using SSE Mode with Specific Port and Host:Copy
- Setting Tools Language to Chinese:Copy
Note: Setting the language to Chinese (
-l zh
) may consume more tokens. If you encounter token limit issues when integrating with large language models, consider using the default English setting (-l en
). - Setting Tool Name Format to Camel Case:Copy
Note: By setting the tool name format, you can change how tool names appear in the MCP. For example,
im.v1.message.create
in different formats:- snake format (default):
im_v1_message_create
- camel format:
imV1MessageCreate
- kebab format:
im-v1-message-create
- dot format:
im.v1.message.create
- snake format (default):
- Using Environment Variables Instead of Command Line Parameters:Copy
Using Configuration File
Besides command line parameters, you can also use a JSON format configuration file to set parameters:
Configuration file example (config.json):
Note: Command line parameters have higher priority than configuration file. When using both command line parameters and configuration file, command line parameters will override corresponding settings in the configuration file.
Using User Access Token
If you need to call APIs as a specific user, you can do so by specifying a User Access Token:
User access tokens can be obtained through the Feishu Open Platform's authorization process or Lark Open Platform's authorization process, or you can use the API debugging console to obtain them. After using a user access token, API calls will be made with that user's identity.
Specifying Custom Domains
If you are using the Lark international version or a custom domain, you can specify it using the -d
parameter:
Transport Modes
lark-mcp supports two transport modes:
- stdio mode (Default/Recommended): Suitable for integration with AI tools like Cursor or Claude, communicating through standard input/output streams.Copy
- SSE mode: Provides an HTTP interface based on Server-Sent Events, suitable for web applications or scenarios requiring network interfaces.After startup, the SSE endpoint will be accessible atCopy
http://<host>:<port>/sse
.
Enabling More APIs
By default, the MCP service enables common APIs. To enable other tools or only specific APIs, you can specify them using the -t
parameter (separated by commas):
Default Supported API List
By default, the MCP service enables the following APIs:
Tool Name | Function Description |
---|---|
im.v1.chat.create | Create a group chat |
im.v1.chat.list | Get group chat list |
im.v1.chatMembers.get | Get group members |
im.v1.message.create | Send messages |
im.v1.message.list | Get message list |
wiki.v2.space.getNode | Get Wiki node |
wiki.v1.node.search | Search Wiki nodes |
docx.v1.document.rawContent | Get document content |
drive.v1.permissionMember.create | Add collaborator permissions |
docx.builtin.import | Import documents |
docx.builtin.search | Search documents |
bitable.v1.app.create | Create Bitable |
bitable.v1.appTable.create | Create Bitable data table |
bitable.v1.appTable.list | Get Bitable data table list |
bitable.v1.appTableField.list | Get Bitable data table field list |
bitable.v1.appTableRecord.search | Search Bitable data table records |
bitable.v1.appTableRecord.create | Create Bitable data table records |
bitable.v1.appTableRecord.update | Update Bitable data table records |
contact.v3.user.batchGetId | Batch get user IDs |
FAQ
- Issue: Unable to connect to Feishu/Lark API Solution: Check your network connection and ensure your APP_ID and APP_SECRET are correct. Verify that you can access the Feishu/Lark Open Platform API; you may need to configure a proxy.
- Issue: Error when using user_access_token Solution: Check if the token has expired. user_access_token usually has a validity period of 2 hours and needs to be refreshed periodically. You can implement an automatic token refresh mechanism or use app_access_token instead.
- Issue: Unable to call certain APIs after starting the MCP service, with insufficient permissions errors Solution: Check if your application has obtained the corresponding API permissions. Some APIs require additional high-level permissions, which can be configured in the Developer Console or Lark Developer Console. Ensure that permissions have been approved.
- Issue: Image or file upload/download related API calls fail Solution: The current version does not support file and image upload/download functionality. These APIs will be supported in future versions.
- Issue: Command line displays garbled characters in Windows environment
Solution: Change the command line encoding to UTF-8 by executing
chcp 65001
in the command prompt. If using PowerShell, you may need to change the terminal font or PowerShell configuration. - Issue: Permission errors during installation
Solution: On macOS/Linux, use
sudo npm install -g @larksuiteoapi/lark-mcp
for installation, or modify the permissions of the npm global installation path. Windows users can try running the command prompt as administrator. - Issue: Token limit exceeded after starting the MCP service
Solution: Try using
-t
to reduce the number of enabled APIs, or use a model that supports larger tokens (such as claude3.7). - Issue: Unable to connect or receive messages in SSE mode Solution: Check if the port is already in use and try changing to a different port. Ensure that the client is correctly connected to the SSE endpoint and is handling the event stream.
Related Links
- Feishu Open Platform
- Lark International Open Platform
- Feishu Open Platform API Documentation
- Lark Open Platform API Documentation
- Node.js Website
- npm Documentation
Feedback
Issues are welcome to help improve this tool. If you have any questions or suggestions, please raise them in the GitHub repository.
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A toolkit that enables AI assistants to directly call Feishu/Lark API interfaces for automation scenarios like document processing, conversation management, and calendar scheduling.