The Arcanna MCP server allows user to interact with Arcanna's AI use cases through the Model Context Protocol (MCP).
Project description
Arcanna MCP Server
The Arcanna MCP server allows user to interact with Arcanna's AI use cases through the Model Context Protocol (MCP).
Usage with Claude Desktop or other MCP Clients
Option 1 - uvx
Prerequisites
Configuration
Add the following entry to the mcpServers section in your MCP client config file (claude_desktop_config.json for Claude
Desktop).
{
"mcpServers": {
"arcanna": {
"command": "uvx",
"args": [
"arcanna-mcp-server"
],
"env": {
"ARCANNA_INPUT_API_KEY": "YOUR_ARCANNA_INPUT_API_KEY",
"ARCANNA_MANAGEMENT_API_KEY": "YOUR_ARCANNA_MANAGEMENT_API_KEY",
"ARCANNA_HOST": "YOUR_ARCANNA_HOST",
"ARCANNA_USER": "YOUR_USERNAME"
}
}
}
}
Option 2 - Building local image from this repository
Prerequisites
Configuration
- Change directory to the directory where the Dockerfile is.
- Run
docker build -t arcanna/arcanna-mcp-server. --progress=plain --no-cache - Add the configuration bellow to your claude desktop config.
{
"mcpServers": {
"arcanna-mcp-server": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"ARCANNA_INPUT_API_KEY",
"-e",
"ARCANNA_MANAGEMENT_API_KEY",
"-e",
"ARCANNA_HOST",
"-e",
"ARCANNA_USER",
"mcp/arcanna"
],
"env": {
"ARCANNA_INPUT_API_KEY": "<YOUR_ARCANNA_API_KEY_HERE>",
"ARCANNA_MANAGEMENT_API_KEY": "<ARCANNA_MANAGEMENT_API_KEY>",
"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_jobs
- Retrieve all jobs associated with your API key
- Returns a list of job details including status, labels, and processing metrics
-
get_job_by_id
- Retrieve specific job details by ID
-
get_job_by_name
- Retrieve specific job details by name
-
get_job_labels
- Retrieve decision labels for a specific job
-
get_labels_of_job_by_name
- Retrieve decision labels for a job by name
-
start_job
- Begin event ingestion for a job
-
stop_job
- Stop event ingestion for a job
-
train_job
- Train the job's AI model using the provided feedback
Event Management
-
send_event
- Submit an event to Arcanna for AI decision-making
-
send_event_with_id
- Submit an event with a custom identifier
-
get_event_by_id
- Retrieve event details and decision results
Feedback System
- send_feedback_for_event
- Provide feedback on AI decisions for model improvement
System Health
- health_check
- Verify server status and API key validity
- Returns API key authorization status
Project details
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