Maps OpenTelemetry GenAI spans, normalizes provider data, detects missing attributes, and exports dashboard schemas.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Genaispanmapper MCP.
The genaispanmapper-mcp MCP server provides a remote schema-mapping service for OpenTelemetry GenAI spans. Its scope covers provider-specific attributes, incomplete span fields, normalized JSON, dashboard schemas, and receipts describing mappings. The service is intended for teams that need a consistent representation of GenAI telemetry across providers or downstream observability workflows.
The repository is a public documentation project rather than the production implementation. It does not include production source code, credentials, payment settings, Cloudflare configuration, customer records, private analytics, or local machine paths.
Clients connect to the hosted MCP endpoint at https://genaispanmapper.clauxel.com/mcp. Requests can use the documented tools to map span fields, apply provider normalization rules, identify absent GenAI attributes, create a mapping receipt, or export a schema for observability dashboards. The resulting workflow is designed to normalize telemetry before dashboards consume it, reducing differences caused by provider-specific field names or incomplete data.
The service is described as paid. The documentation links to separate pages for the product website, pricing, and checkout, so deployment and commercial access details should be checked there rather than inferred from this repository.
Use the remote endpoint as the MCP server address in an MCP-compatible client. The README also publishes a server card at https://genaispanmapper.clauxel.com/server-card.json and lists the registry identifier com.clauxel.genaispanmapper/genaispanmapper-mcp.
No environment variables, local installation steps, credentials, or client-specific setup instructions are provided in the supplied material. The public documentation links to a quickstart, evaluation guide, checkout and pricing guide, workflow notes, and a public link reference for additional guidance.
The documented tools are:
map_genai_span_fields for span schema mapping.normalize_provider_attributes for provider-attribute normalization.detect_missing_genai_attributes for finding missing GenAI fields.issue_mapping_receipt for producing a mapping receipt.export_observability_schema for exporting dashboard or observability schemas.Together, these tools cover the listed capabilities of a span schema mapper, provider rules, missing-attribute detection, normalized JSON, and dashboard schema export.
The genaispanmapper-mcp MCP server is documented as a remote, paid service; the repository alone does not establish local or self-hosted deployment options. It also does not document authentication details, request and response formats, rate limits, supported client applications, or provider-specific rule coverage. Confirm those details through the linked product documentation or support contact before integrating it into production.
The project identifies its audience as observability teams, LLM platform teams, data engineers, and SREs. Its main fit is therefore telemetry normalization and schema preparation, not general-purpose application development or dashboard hosting.
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