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Project description

logo mcp-polaris-ai-datainsight

Polaris AI DataInsight is an API service that easily converts documents in various formats into structured data (such as JSON).

This tool supports the extraction of text, images, and other elements from various document formats (e.g., .doc, .docx, .ppt, .pptx, .xls, .xlsx, .hwp, .hwpx, .pdf).

For more details, please refer to the documentation.

Feature

Doc Extract

Extract text, images, and other elements from various document formats.

  • Images in the document are stored on local storage, and the corresponding image paths are included in the JSON output.
  • Tables are represented in JSON format, as illustrated in this example.

Installation and Setup

  1. Generate an API key

  2. Choose an installation method

Method 1: CLI Installation

TODO: Supported clients: cursor, claude

Method 2: Manual Configuration

If you prefer a manual setup, add the following configuration to your IDE's MCP config file:

{
  "mcpServers": {
    "": {
      "command": "npx",
      "args": [],
      "env": {}
    }
  }
}

Config file locations:

  • Cursor: ~/.cursor/mcp.json
  • Claude: ~/.claude/mcp_config.json

Method 3: VS Code Installation

TODO

Method 4: Clone git repository

Preinstall uv and poetry.

  1. Clone repository
    git clone --branch main https://github.com/PolarisOfficeRnD/PolarisAIDataInsight.git
    
    If you want to clone only mcp-polaris-ai-datainsight directory:
    # Git Version >= 2.25
    git clone --filter=blob:none --sparse --branch main https://github.com/PolarisOfficeRnD/PolarisAIDataInsight.git
    
    cd PolarisAIDataInsight
    
    git sparse-checkout set mcp-polaris-ai-datainsight
    
  2. Install python dependencies in virtual environment
    cd mcp-polaris-ai-datainsight
    
    uv venv .venv
    
    # Linux
    source .venv/bin/activate
    # Windows
    .venv\bin\activate
    
    poetry install
    
  3. Set API Key as environment value and Run server
    # Linux
    export POLARIS_AI_DATA_INSIGHT_API_KEY="your-api-key"
    # Windows
    set POLARIS_AI_DATA_INSIGHT_API_KEY="your-api-key"
    
    # Linux
    uv run src/server.py
    # Windows
    uv run src\server.py
    

Output

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