If you're running OpenTelemetry GenAI spans from multiple providers and your dashboards are showing inconsistent attribution, this remote MCP handles the normalization layer. It exposes five tools: map_genai_span_fields, normalize_provider_attributes, detect_missing_genai_attributes, issue_mapping_receipt, and export_observability_schema. You'd reach for this when Anthropic, OpenAI, and other LLM provider spans don't map cleanly to a unified schema and you need receipts on what got transformed. It's a paid service hosted at genaispanmapper.clauxel.com, aimed at observability teams and SREs who need consistent telemetry before the data hits Grafana or Datadog.
Normalize GenAI spans before dashboards tell competing stories.
GenAI Span Mapper is a paid remote MCP schema mapper for OpenTelemetry GenAI spans, provider attributes, missing fields, dashboard schemas, and mapping receipts.
This is a public documentation project for GenAI Span Mapper MCP. The structure is modeled after the public documentation pattern used by MiroFish: a short front door, a clear reading order, practical guides, reference pages, and public-safe architecture notes.
com.clauxel.genaispanmapper/genaispanmapper-mcpmap_genai_span_fields, normalize_provider_attributes, detect_missing_genai_attributes, issue_mapping_receipt, export_observability_schemaobservability teams, LLM platform teams, data engineers, and SREs.
This repository does not contain production source code, credentials, payment configuration, Cloudflare configuration, customer records, private analytics, or local machine paths.
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