A

Arcanna MCP Input Server

The Arcanna Input MCP Server is an AI integration platform that enables interaction between external APIs and Arcanna AI use cases through the MCP protocol
2 points
11

What is Arcanna Input MCP Server?

Arcanna is an AI decision-making service platform that provides standardized interfaces through the Model Context Protocol (MCP). It allows users to send external data to AI models for analysis and decision-making, and supports continuous feedback learning to optimize model performance.

How to use the Arcanna service?

By configuring an MCP client (such as Claude Desktop) to connect to the Arcanna server, you can directly send event data, obtain AI decision results, and provide feedback to train the model. The entire process is completed through simple API calls.

Applicable scenarios

Suitable for scenarios where AI decision-making capabilities need to be integrated into existing systems, such as automated process approval, abnormal event classification, intelligent work order routing, and other business scenarios that require continuous learning.

Main features

Job managementSupports creating, querying, starting/stopping AI processing jobs, and allows viewing job status, tags, and processing metrics.
Event processingSends event data to a specified job and obtains AI-generated decision results, supporting custom event IDs.
Feedback systemProvides a decision feedback mechanism to help continuously improve the accuracy and reliability of AI models.
Health monitoringChecks the server status and API key validity in real-time to ensure service availability.

Advantages and limitations

Advantages
Standardized MCP protocol integration, compatible with multiple client tools
Complete job lifecycle management capabilities
Feedback mechanism supporting continuous learning
Simple and convenient containerized deployment
Limitations
Requires basic Docker knowledge for deployment
API key management needs to ensure security by yourself
Processing performance depends on the response speed of the Arcanna cloud service

How to use

Prepare the Docker environment
Ensure that Docker is installed and running properly.
Configure the MCP client
Add Arcanna server information to the configuration file of an MCP client such as Claude Desktop.
Set environment variables
Configure necessary parameters such as the API key, host address, and username.
Start the service
Run the Docker container to start the MCP server.

Usage examples

Automated work order classificationSend customer service work orders to an AI model for automatic classification and routing to the correct department.
Abnormal transaction monitoringSend transaction data in real-time to detect potential fraud.

Frequently Asked Questions

How to obtain an API key?
What should I do if the Docker container fails to start?
How to view job processing history?

Related resources

Docker image repository
Official Docker image download address
PyPi project page
Python package installation resource
MCP protocol documentation
Model Context Protocol technical specification
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "arcanna-input-mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "ARCANNA_INPUT_API_KEY",
        "-e",
        "ARCANNA_HOST",
        "-e",
        "ARCANNA_USER",
        "arcanna/arcanna-input-mcp-server"
      ],
      "env": {
        "ARCANNA_INPUT_API_KEY": "<YOUR_ARCANNA_API_KEY_HERE>",
        "ARCANNA_HOST": "<YOUR_ARCANNA_HOST_HERE>",
        "ARCANNA_USER": "<YOUR_USERNAME_HERE>"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
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