The Arcanna MCP Input server allows user to send data and feedback to AI use cases through the Model Context Protocol (MCP).
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# Arcanna Input MCP Server The Arcanna Input MCP server allows user to interact with Arcanna's AI use cases that use external api integration through the Model Context Protocol (MCP). ## Usage with Claude Desktop or other MCP Clients #### Configuration Add the following entry to the `mcpServers` section in your MCP client config file (`claude_desktop_config.json` for Claude Desktop). ### Use docker image (https://hub.docker.com/r/arcanna/arcanna-input-mcp-server) or PyPi package (https://pypi.org/project/arcanna-mcp-input-server) ### 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-input-mcp-server . --progress=plain --no-cache``` 3. Add the configuration bellow to your claude desktop/mcp client config. ```json { "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>" } } } } ``` ## Features - **Job Management**: Create, retrieve, start, stop, and train jobs - **Event Processing**: Send events for AI-powered decision making - **Feedback System**: Provide feedback on decisions to improve model accuracy - **Health Monitoring**: Check server and API key status ## Tools ### Job Management - **get_external_input_jobs** - Retrieve all jobs associated with your API key - Returns a list of job details including status, labels, and processing metrics - **get_external_input_job_by_id** - Retrieve specific job details by ID - **get_ex…
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