About genaispanmapper-mcp
GenAI Span Mapper is a remote MCP schema-mapping service for observability teams, LLM platform teams, data engineers, and SREs. It normalizes OpenTelemetry GenAI spans and provider attributes, detects missing fields, and exports dashboard schemas and mapping receipts.
Key features
- 01Map GenAI span fields
- 02Normalize provider attributes
- 03Detect missing GenAI attributes
- 04Export normalized JSON
- 05Export dashboard schemas
Use cases
- 01Normalize GenAI spans across providers
- 02Find missing span attributes
- 03Prepare schemas for observability dashboards
MCP support
It exposes a remote MCP endpoint with tools to map and normalize span data, detect missing attributes, issue mapping receipts, and export observability schemas.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://genaispanmapper.clauxel.com/mcpclaude mcp add --transport http com-clauxel-genaispanmapper-genaispanmapper https://genaispanmapper.clauxel.com/mcp{"mcpServers":{"com-clauxel-genaispanmapper-genaispanmapper":{"type":"http","url":"https://genaispanmapper.clauxel.com/mcp"}}}Open in Cursor{"servers":{"com-clauxel-genaispanmapper-genaispanmapper":{"type":"http","url":"https://genaispanmapper.clauxel.com/mcp"}}}Open in VS Code{"mcpServers":{"com-clauxel-genaispanmapper-genaispanmapper":{"type":"http","url":"https://genaispanmapper.clauxel.com/mcp"}}}{"mcpServers":{"com-clauxel-genaispanmapper-genaispanmapper":{"serverUrl":"https://genaispanmapper.clauxel.com/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://genaispanmapper.clauxel.com/mcpAuth requiredTools
Details
From the project READMEGenAI Span Mapper MCP
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.
Start Here
- Website: https://genaispanmapper.clauxel.com/?utm_source=github&utm_medium=documentation&utm_campaign=genaispanmapper_public_docs&utm_content=readme_primary_home
- Pricing: https://genaispanmapper.clauxel.com/pricing/?utm_source=github&utm_medium=documentation&utm_campaign=genaispanmapper_public_docs&utm_content=readme_pricing
- Checkout: https://genaispanmapper.clauxel.com/checkout/?utm_source=github&utm_medium=documentation&utm_campaign=genaispanmapper_public_docs&utm_content=readme_checkout
- Support: [email protected]
Remote MCP
- Endpoint: https://genaispanmapper.clauxel.com/mcp
- Server card: https://genaispanmapper.clauxel.com/server-card.json
- Registry name:
com.clauxel.genaispanmapper/genaispanmapper-mcp - Tools:
map_genai_span_fields,normalize_provider_attributes,detect_missing_genai_attributes,issue_mapping_receipt,export_observability_schema
Reading Order
Audience
observability teams, LLM platform teams, data engineers, and SREs.
Capabilities
- span schema mapper
- provider rules
- missing attribute detection
- normalized JSON
- dashboard schema export
Public-Safe Boundary
This repository does not contain production source code, credentials, payment configuration, Cloudflare configuration, customer records, private analytics, or local machine paths.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.