- Larkrs Mcp
Overview
what is Larkrs MCP?
Larkrs MCP is a server based on MCP that provides integration with the Feishu API, allowing AI models to easily interact with Feishu services.
how to use Larkrs MCP?
To use Larkrs MCP, clone the project from GitHub, build it using Cargo, and configure your environment variables for Feishu authentication.
key features of Larkrs MCP?
- Multi-dimensional table support: Read multi-dimensional table metadata and content, providing batch record creation functionality.
- Multi-mode support: Currently supports STDIO mode for communication, suitable for CLI environments and integration into other applications.
use cases of Larkrs MCP?
- Integrating AI models with Feishu for enhanced communication.
- Automating data entry and retrieval from multi-dimensional tables.
- Building CLI tools that interact with Feishu services.
FAQ from Larkrs MCP?
- What is required to run Larkrs MCP?
You need to clone the repository, build it with Cargo, and set up your Feishu app credentials.
- Can Larkrs MCP be used in production?
Yes, once properly configured, it can be used in production environments.
- Is there support for other modes besides STDIO?
Currently, only STDIO mode is supported.
Server Config
{
"mcpServers": {
"larkrs-mcp": {
"command": "/Users/code/mcp/larkrs-mcp/target/debug/larkrs-mcp",
"env": {
"FEISHU_APP_ID": "<your-app-id>",
"FEISHU_APP_SECRET": "<your-app-secret>"
}
}
}
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