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Arcanna Input MCP Server

by siscale

The Arcanna Input MCP server enables user interaction with Arcanna's AI use cases that leverage external API integration through the Model Context Protocol (MCP). It allows users to manage jobs, send events for AI-powered decision making, and provide feedback to improve model accuracy.

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What is Arcanna Input MCP Server?

The Arcanna Input MCP Server is a server that allows users to interact with Arcanna's AI use cases that use external API integration through the Model Context Protocol (MCP). It acts as a bridge between external systems and Arcanna's AI models.

How to use Arcanna Input MCP Server?

To use the server, you need to configure your MCP client (e.g., Claude Desktop) with the server details. This involves adding an entry to the mcpServers section in your client's config file. You can either use the provided Docker image or build a local image from the repository. You also need to set environment variables for your Arcanna API key, host, and username.

Key features of Arcanna Input MCP Server

  • Job Management

  • Event Processing

  • Feedback System

  • Health Monitoring

Use cases of Arcanna Input MCP Server

  • Managing AI jobs

  • Sending events for AI decision-making

  • Providing feedback to improve model accuracy

  • Monitoring server and API key status

FAQ from Arcanna Input MCP Server

How do I retrieve all jobs associated with my API key?

Use the get_external_input_jobs tool.

How do I submit an event to Arcanna for AI decision-making?

Use the send_event_to_external_input_job tool.

How can I verify the server status and API key validity?

Use the health_check_input_server tool.

What is the purpose of the ARCANNA_INPUT_API_KEY environment variable?

It is used to authenticate your requests to the Arcanna API.

Where can I find the Docker image for this server?

The Docker image is available at https://hub.docker.com/r/arcanna/arcanna-input-mcp-server