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

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-mcp-server) or PyPi package (https://pypi.org/project/arcanna-mcp-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-mcp-server . --progress=plain --no-cache

3. Add the configuration bellow to your claude desktop/mcp client config.

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

Related MCP server: SOAR MCP Server

Servers

One package, three MCP servers. Install once; each executable is a separate server, so a client attaches only what it needs. All three use the same environment (ARCANNA_HOST, ARCANNA_MANAGEMENT_API_KEY, optional ARCANNA_AGENTS_HOST, TRANSPORT_MODE=stdio|sse, PORT for sse). Tools are filtered by the API key's scopes.

Docker: the image's entrypoint is arcanna-mcp-server; run another server with e.g. docker run -i --rm --entrypoint arcanna-agents-mcp -e ARCANNA_HOST -e ARCANNA_MANAGEMENT_API_KEY arcanna/arcanna-mcp-server.

Tools

arcanna-mcp-server

• jobs: start_job, stop_job, train_job, get_job_status, get_job_input_state, reset_job_input_state, submit_training_config_validation, get_training_config_validation, list_training_config_validations, cancel_training_config_validation

• resources: search_integrations, get_integration_details, search_jobs, get_job_details, list_integration_types, get_integration_type_metadata, get_job_category_metadata, create_integration, update_integration, delete_integration, create_job, update_job, delete_job, check_integration_health, list_llm_models, get_job_decision_points, apply_iac, export_iac, get_roles, upsert_roles, delete_roles

• events: query_arcanna_events, count_events, get_field_stats, get_field_groups, get_filter_fields, get_fields_mapping, get_event_explanation, get_similar_events, get_event_agentic_workflows, get_job_outliers, add_feedback_to_event, clear_event_feedback, add_agentic_notes, reprocess_events, reprocess_event_by_id, delete_events, ingest_event, export_event_by_id, transfer_event

• buckets: query_buckets, get_bucket, get_similar_buckets, reprocess_buckets, request_bucket_model_update, request_bucket_model_update_by_filters, approve_bucket_feedback, update_bucket_feedback_state, delete_buckets

• metrics: get_job_metrics, get_job_and_model_metrics, get_model_metrics, request_model_metrics_recompute, get_platform_metrics, get_internal_metrics, get_field_metrics, export_feedback, set_production_date

• platform: health_check, get_platform_info, get_system_timestamp, delete_storage_data

• code_blocks: generate_code_instructions, execute_code, execute_code_async, save_code

arcanna-agents-mcp

• workflows: list_agentic_workflows, get_agentic_workflow_by_id, create_agentic_workflow, update_agentic_workflow, run_agentic_workflow, test_agentic_workflow, list_agent_tools, list_llm_providers, get_workflow_session, answer_workflow_decision, continue_workflow_session, stop_workflow_sessions

arcanna-rag-mcp

• documents: query_rag_documents, get_rag_document, upload_rag_documents, update_rag_document, delete_rag_document, approve_rag_document, reject_rag_document, retry_rag_document, get_rag_pipeline_status

• collections: query_rag_collections, create_rag_collection, update_rag_collection, delete_rag_collection, create_rag_subcollection, update_rag_subcollection, delete_rag_subcollection, list_rag_tags

Breaking changes in 0.2.0

The single server was split into three and tools were renamed or replaced. Tool names referenced in roles, assistant tool settings or agentic workflows must be updated by hand:

Agentic tools moved from the arcanna server to arcanna-agents. execute_code now runs a saved code block integration on a stored event (the inline test endpoint no longer exists); save_code saves through IaC.

Development

venv/bin/uv sync
.venv/bin/python -m pytest -q tests
.venv/bin/python -m pyright src

Tools are generated from the Arcanna OpenAPI specs, then trimmed by hand:

1. Refresh the specs from a modular-framework checkout (see scripts/dump_specs.py).

2. Map the tool in scripts/tool_map.py (server, module, operationId, scopes).

3. .venv/bin/python scripts/gen_tools.py appends a stub to the module; add it to export_tools() and trim the docstring to: what it does, when to use it vs its neighbour, response shape, cost, and what not to use it for. tests/test_tools.py checks mapping, scopes, descriptions, docstring length and the called endpoint.