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GenAI Span Mapper

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GenAI span mapping with provider normalization, dashboard schemas, and structured receipts.

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About

GenAI span mapping with provider normalization, dashboard schemas, and structured receipts.

README

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

Remote MCP

Reading Order

  1. Quickstart
  2. Evaluation guide
  3. Checkout and pricing
  4. Workflow notes
  5. Public link reference

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.

from github.com/clauxel/genai-span-mapper-mcp

Installing GenAI Span Mapper

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/clauxel/genai-span-mapper-mcp

FAQ

Is GenAI Span Mapper MCP free?

Yes, GenAI Span Mapper MCP is free — one-click install via Unyly at no cost.

Does GenAI Span Mapper need an API key?

No, GenAI Span Mapper runs without API keys or environment variables.

Is GenAI Span Mapper hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install GenAI Span Mapper in Claude Desktop, Claude Code or Cursor?

Open GenAI Span Mapper on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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