A
licenseNot graded
qualityB
maintenanceEdge-deployed predictive decision engine and circuit-breaker orchestrator for AI agents. Features low-latency telemetry, automated failover routing, and Bitcoin Lightning micro-payments.
MIT
SEOSiri Data Pipeline MCP
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TDQS
B3.4/5.0
Scored across 7 tools
Disambiguation5/5
Each tool targets a distinct stage or mode (source-specific fetch, real-time ingest, batch ingest, processing, export, summary retrieval, payload validation) with minimal conceptual overlap. The descriptions clearly separate concerns, making tool selection unambiguous.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern in snake_case (fetch_, ingest_, process_, export_, retrieve_, sanitize_and_validate_). The compound verb in sanitize_and_validate_payload is a minor deviation but still fits the pattern and is readable.
Tool Count5/5
7 tools is well-scoped for a data pipeline server, covering ingestion (real-time and batch), processing, export, summary retrieval, and validation. Each tool serves a clear purpose without unnecessary bloat.
Completeness4/5
The core pipeline lifecycle (ingest -> process -> export -> summarize) is covered, plus validation. A notable gap is the lack of a tool to retrieve raw processed records directly; only aggregated statistics are available via retrieve_analytical_summary, which may hinder granular data access needs.
Maintenance
ActivitySlowing
ResponsivenessNo issues