li_vien_feishu_tools_mcp

li_vien_feishu_tools_mcp

by Li-vien
An MCP server enabling AI encoding agents to perform Feishu operations like document reading, messaging, and approvals.

Feishu Integration for AI Encoding Agents

Overview

The Feishu Integration for AI Encoding Agents is an MCP server designed to provide Feishu-related operations to AI encoding agents, such as Cursor. This integration enables functionalities like reading documents, sending messages, contract approvals, and data processing, offering unique combinations of operations.

Features

  • Document Reading: Extract and process text from Feishu documents.
  • Message Sending: Send messages directly through Feishu.
  • Contract Approvals: Manage and approve contracts via Feishu.
  • Data Processing: Handle and process data efficiently.

Configuration

Creating a Custom Application

To run the MCP service, you need to create a custom application and publish it. Follow the Feishu API Call Guide for detailed instructions.

Document Authorization

After creating the application, authorize it for document access. This step is crucial and can be complex. Refer to the Feishu Documentation for guidance on adding permissions.

Usage

Running the Service

  1. Copy .env.example to .env.
  2. Update .env with your Feishu application's APP_ID and APP_SECRET.
  3. Install dependencies and start the server:
    bash yarn install yarn start
  4. Add the MCP server to Cursor.
  5. In Agent mode, input a Feishu document link to allow the AI to read and organize the content.

Tools

get_feishu_doc

Retrieve and process text information from Feishu documents.

Preview

Preview

About

This project provides Feishu-related operations to AI encoding agents, enhancing their capabilities with document reading, message sending, contract approvals, and data processing.

Resources

Activity

  • Stars: 12
  • Watchers: 1
  • Forks: 1

Languages

  • JavaScript: 100.0%

Features & Capabilities

Categories
mcp_server model_context_protocol javascript feishu api_integration document_processing ai_agents

Implementation Details

Stats

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12 GitHub Stars

Repository Info

Li-vien Organization

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