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Gemini Upgrade Qa

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Gemini Upgrade QA MCP public documentation modeled after the MiroFish docs pattern.

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About

Gemini Upgrade QA MCP public documentation modeled after the MiroFish docs pattern.

README

Catch Gemini model upgrade regressions before they reach customers.

Gemini Upgrade QA is a paid remote MCP for Gemini upgrade evals, prompt regression checks, model output diffs, blocking rules, and eval receipts.

This is a public documentation project for Gemini Upgrade QA 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

AI platform teams, prompt owners, QA leads, and release engineers.

Capabilities

  • upgrade eval runner
  • prompt output comparison
  • regression detection
  • blocking rules
  • eval receipt 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/gemini-upgrade-qa-mcp

Installing Gemini Upgrade Qa

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

▸ github.com/clauxel/gemini-upgrade-qa-mcp

FAQ

Is Gemini Upgrade Qa MCP free?

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

Does Gemini Upgrade Qa need an API key?

No, Gemini Upgrade Qa runs without API keys or environment variables.

Is Gemini Upgrade Qa hosted or self-hosted?

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

How do I install Gemini Upgrade Qa in Claude Desktop, Claude Code or Cursor?

Open Gemini Upgrade Qa 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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