arcanna-mcp-input-server 0.0.1

The Arcanna MCP Inpyt server allows user to send data and feedback to AI use cases through the Model Context Protocol (MCP).

Arcanna MCP Input Server

The Arcanna MCP Inpyt server allows user to send data and feedback to AI use cases through the Model Context Protocol (MCP).

Usage with Claude Desktop or other MCP Clients

Option 1 - uvx

Prerequisites

• uv - https://docs.astral.sh/uv/getting-started/installation/#installation-methods

Configuration

Add the following entry to the mcpServers section in your MCP client config file (claude_desktop_config.json for Claude Desktop).

{
  "mcpServers": {
    "arcanna-mcp-input-server": {
      "command": "uvx",
      "args": [
        "arcanna-mcp-input-server"
      ],
      "env": {
        "ARCANNA_INPUT_API_KEY": "YOUR_ARCANNA_INPUT_API_KEY",
        "ARCANNA_HOST": "YOUR_ARCANNA_HOST",
        "ARCANNA_USER": "YOUR_USERNAME"
      }
    }
  }
}

Option 2 - Building local image from this repository

Prerequisites

• Docker - https://docs.docker.com/engine/install/

Configuration

1. Change directory to the directory where the Dockerfile is.
2. Run docker build -t arcanna/arcanna-mcp-input-server. --progress=plain --no-cache
3. Add the configuration bellow to your claude desktop config.

{
  "mcpServers": {
    "arcanna-mcp-input-server": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "ARCANNA_INPUT_API_KEY",
        "-e",
        "ARCANNA_HOST",
        "-e",
        "ARCANNA_USER",
        "mcp/arcanna-mcp-input-server"
      ],
      "env": {
        "ARCANNA_INPUT_API_KEY": "<YOUR_ARCANNA_API_KEY_HERE>",
        "ARCANNA_HOST": "<YOUR_ARCANNA_HOST_HERE>",
        "ARCANNA_USER": "<YOUR_USERNAME_HERE>"
      }
    }
  }
}