MCP (Model Context Protocol) server for the Sparkient decision intelligence API. Connect AI agents to 14 tools for creating, training, cancelling, calling, inspecting, and obtaining edge-export…
sparkient-mcp-server is an MCP project maintained in the sparkient/sparkient-mcp-server repository. The maintainer describes its purpose as “MCP (Model Context Protocol) server for the Sparkient decision intelligence API. Connect AI agents to 14 tools for creating, training, cancelling, calling, inspecting, and obtaining…”. Read the project documentation for the complete scope.
The maintainer’s configuration uses https://mcp.sparkient.ai/mcp. Check the project’s account and authentication instructions when adding the endpoint to your client.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| make_decision | Make a metered, logged decision; the current API sets both escalate and fallback_used for escalation or fallback stages, so inspect stage to distinguish them |
| batch_decisions | Make up to 50 ordered decisions; failed positions are null with an indexed error and must not be acted on |
| list_decision_types | List decision types with pagination |
| get_decision_type | Get metadata, the active configuration version, and deployment status |
| create_decision_type | Create a classifier-only type by default, with structured CEL rules, optional input schema, confidence thresholds, and explicit live-LLM escalation |
| add_examples | Add labelled examples and return the created example records |
| generate_examples | Generate synthetic examples via Gemini and return the created records |
| train_model | Trigger async training after at least 38 labelled examples per option |
| get_training_status | Poll training status and stage progress |
| cancel_training | Safely cancel the exact active policy attempt |
| get_decision_logs | Query past decision logs |
| get_metrics | Get organisation aggregates for the last 24 hours, including compiled and escalation rates |
| get_credits | Check credit balance, plan info, and the API's reset timestamp |
| get_edge_export_instructions | Get the authenticated REST URL and dashboard path for downloading an eligible Growth/Scale edge bundle; does not transfer the ZIP through MCP |
{
"mcpServers": {
"sparkient": {
"url": "https://mcp.sparkient.ai/mcp",
"headers": {
"Authorization": "YOUR_AUTHORIZATION"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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