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Genaispanmapper

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Remote MCP for GenAI span mapping, provider normalization, dashboard schemas, and receipts.

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About

Remote MCP for GenAI span mapping, provider normalization, dashboard schemas, and 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 Genaispanmapper

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 Genaispanmapper MCP free?

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

Does Genaispanmapper need an API key?

No, Genaispanmapper runs without API keys or environment variables.

Is Genaispanmapper hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install Genaispanmapper in Claude Desktop, Claude Code or Cursor?

Open Genaispanmapper 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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