karini-mcp-server-test 0.1.1

MCP server for karini copilots and webhook recipe tool integrations

Karini MCP Server

MCP (Model Context Protocol) server for integrating Karini AI copilots and webhook recipes with Claude Desktop and other MCP clients.

Features

• 🤖 AI Copilot Integration - Ask questions and get AI-powered responses from your Karini copilots
• 📄 Document Processing - Process documents stored in S3 through copilots and webhooks
• 🔗 Webhook Recipes - Trigger asynchronous data processing workflows
• 📊 Status Tracking - Monitor webhook execution status and results

Installation

Via uvx (Recommended)

uvx karini-mcp-server

Via pip

pip install karini-mcp-server

Configuration

Claude Desktop Setup

Edit your Claude Desktop configuration file:

macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json

Full Configuration (All Features)

{
  "mcpServers": {
    "karini-mcp-server": {
      "command": "uvx",
      "args": ["karini-mcp-server@latest"],
      "env": {
        "KARINI_API_BASE": "https://app.karini.ai",
        "KARINI_COPILOT_ID": "your-copilot-id",
        "KARINI_API_KEY": "your-copilot-api-key",
        "WEBHOOK_API_KEY": "your-webhook-api-key",
        "WEBHOOK_RECIPE_ID": "your-webhook-recipe-id"
      }
    }
  }
}

Copilot Only Configuration

{
  "mcpServers": {
    "karini-mcp-server": {
      "command": "uvx",
      "args": ["karini-mcp-server@latest"],
      "env": {
        "KARINI_API_BASE": "https://app.karini.ai",
        "KARINI_COPILOT_ID": "your-copilot-id",
        "KARINI_API_KEY": "your-copilot-api-key"
      }
    }
  }
}

Webhook Only Configuration

{
  "mcpServers": {
    "karini-mcp-server": {
      "command": "uvx",
      "args": ["karini-mcp-server@latest"],
      "env": {
        "KARINI_API_BASE": "https://app.karini.ai",
        "WEBHOOK_API_KEY": "your-webhook-api-key",
        "WEBHOOK_RECIPE_ID": "your-webhook-recipe-id"
      }
    }
  }
}

Note: Only tools with valid configuration will be available. If webhook credentials are not provided, only copilot tools will appear.

Environment Variables

Variable	Required For	Description
KARINI_API_BASE	All	Base URL for Karini API (e.g., https://app.karini.ai)
KARINI_COPILOT_ID	Copilot Tools	Your copilot's unique identifier
KARINI_API_KEY	Copilot Tools	API key for copilot authentication
KARINI_WEBHOOK_API_KEY	Webhook Tools	API key for webhook authentication
KARINI_WEBHOOK_RECIPE_ID	Webhook Tools	Webhook recipe identifier

Available Tools

Copilot Tools

ask_karini_copilot

Ask questions to your Karini AI copilot and receive intelligent responses.

Parameters:

• question (string, required): The question or query to ask
• files (list, optional): S3 file paths to include in the query
  • Example: ["s3://bucket/document.pdf", "s3://bucket/data.txt"]

Webhook Tools

invoke_webhook_recipe

Trigger a webhook recipe for asynchronous data processing.

Parameters:

• question (string, optional): Input message or query
• files (list, optional): S3 file paths to process (content type auto-detected)
  • Example: ["s3://bucket/invoice.pdf", "s3://bucket/receipt.jpg"]
• metadata (dict, optional): Additional context as key-value pairs
  • Example: {"user_id": "123", "priority": "high", "source": "email"}

Returns: JSON with request_id for status tracking

get_webhook_status

Check the status of webhook recipe executions.

Parameters:

• request_id (string, optional): Specific request ID to check
• limit (integer, optional): Number of recent requests to return (default: 5)

Development

Local Testing

# Clone repository
git clone https://github.com/yourusername/karini-mcp-server.git
cd karini-mcp-server

# Install dependencies
pip install -e .

# Run locally
python -m src.main

Project Structure

karini-mcp-server/
├── src/
│   ├── main.py              # Entry point
│   ├── server.py            # MCP server setup
│   ├── services/
│   │   ├── config.py        # Configuration management
│   │   └── client.py        # Karini API client
│   └── tools/
│       └── tools.py         # Tool definitions
├── pyproject.toml
└── README.md