Lark MCP Server

What is Lark MCP Server? Lark MCP Server is a Model Context Protocol (MCP) server implementation designed for Lark/Feishu, enabling MCP-compatible applications to interact with Lark's collaboration capabilities. How to use Lark MCP Server? To use Lark MCP Server, clone the repository, install dependencies, and build the project. Connect it with an MCP client like Claude Desktop by configuring the necessary settings in the claude_desktop_config.json file. Key features of Lark MCP Server? Message Sending: Allows AI models to send direct messages to Lark users. Calendar Management: List events within a specific time range. Create new calendar events with customizable details. Add various types of attendees to events (users, groups, meeting rooms, external emails). Use cases of Lark MCP Server? Integrating AI assistants with Lark for enhanced communication. Automating calendar event management through AI models. Facilitating real-time messaging between AI applications and Lark users. FAQ from Lark MCP Server? What are the prerequisites for using Lark MCP Server? You need Node.js v18 or higher, a registered Lark/Feishu application, and a user access token for calendar operations. How do I troubleshoot issues with the server? Check the server logs for detailed error information, and ensure all environment variables and access tokens are correctly set.

As an MCP (Model Context Protocol) server, Lark MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

To use Lark MCP Server, clone the repository, install dependencies, and build the project. Connect it with an MCP client like Claude Desktop by configuring the necessary settings in the claude_desktop_config.json file. Key features of Lark MCP Server? Message Sending: Allows AI models to send direct messages to Lark users. Calendar Management: List events within a specific time range. Create new calendar events with customizable details. Add various types of attendees to events (users, groups, meeting rooms, external emails). Use cases of Lark MCP Server? Integrating AI assistants with Lark for enhanced communication. Automating calendar event management through AI models. Facilitating real-time messaging between AI applications and Lark users. FAQ from Lark MCP Server? What are the prerequisites for using Lark MCP Server? You need Node.js v18 or higher, a registered Lark/Feishu application, and a user access token for calendar operations. How do I troubleshoot issues with the server? Check the server logs for detailed error information, and ensure all environment variables and access tokens are correctly set.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.