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feishu-ocr-assistant

v1.0.0

Published

MCP tool for OCR image recognition and automatic data entry into Feishu Bitable

Downloads

9

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Links

Maintainers

kerrmoultonkerrmoulton

Keywords

Readme

Feishu OCR Assistant

An MCP (Model Context Protocol) tool that recognizes content in images and automatically populates Feishu Bitable (multidimensional tables).

Features

  • Uses Qwen-VL-Plus model to recognize content in images
  • Dynamically fetches field definitions from Feishu Bitable
  • Constructs dynamic prompts based on table structure
  • Automatically inserts structured data into Feishu Bitable

Prerequisites

Before you begin, ensure you have obtained the following credentials:

  1. DashScope API Key (for Qwen-VL-Plus)
  2. Feishu App ID and App Secret
  3. Feishu Bitable App Token and Table ID

Installation

  1. Clone the repository
  2. Install dependencies:
    npm install
  3. Copy .env.example to .env and fill in your credentials:
    cp .env.example .env

Usage

  1. Build the project:

    npm run build

  2. Start the service:

    npm start

  3. Use with an MCP-compatible client (e.g., Claude Desktop): Send an image URL with a command like "Please help me enter the content of this invoice/picture into the system."

How It Works

  1. Initialize Configuration: Load API keys and Feishu app credentials
  2. Get Feishu Token: Call Feishu's auth/v3/app_access_token/internal endpoint to get access token
  3. Get Table Definition: Call Feishu's bitable/v1/.../fields endpoint to analyze table columns
  4. Build Dynamic Prompt: Convert field list into a prompt, specifying which fields to extract
  5. Call Vision Model: Send image and prompt to Qwen-VL-Plus model
  6. Write Back Data: Parse the JSON response and call Feishu's records/batch_create to insert data

Development

For development, you can run the service in dev mode:

npm run dev