Arcanna Input MCP Server
Description
# 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…
About
# 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…
Details
- Author
- siscale
- Downloads
- 121
- Categories
- Other
Jump to
- 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
Configure the server in your MCP client configuration file (e.g., claude_desktop_config.json) using a Docker image or PyPI package. Set the environment variables ARCANNA_INPUT_API_KEY, ARCANNA_HOST, and ARCANNA_USER. Then invoke the MCP client as usual to access the exposed tools.
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 themcpServers 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-cache3. 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_external_input_job_by_name
- Retrieve specific job details by name
- get_external_input_job_labels
- Retrieve decision labels for a specific job
Event Management
- send_event_to_external_input_job - Submit an event to Arcanna for AI decision-making- send_event_with_id_to_external_input_job
- Submit an event with a custom identifier
System Health
- health_check_input_server - Verify server status and API key validity - Returns API key authorization statusSign in to leave a review
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