Goodeye

Name: Goodeye
Author: Goodeye-Labs

@Goodeye-Labs

Goodeye について

Outcome-aligned AI workflow registry. Design and run AI workflows with verifiers that align an agent to measurable outcomes, with reliable image output.

#ai-workflows #ai-agents #verifiers #image-generation #workflow-automation #developer-tools

基本情報

カテゴリ

開発者ツール

トランスポート

stdio

公開者

Goodeye-Labs

投稿者

Randy Olson

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "goodeye": {
      "type": "http",
      "url": "https://mcp.goodeye.dev/mcp"
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Goodeye?

Goodeye is an outcome-aligned AI workflow registry. It enables designing AI workflows paired with verifiers that score an agent against a measurable result, then running them from an agent or the CLI. Reliable image output is built in.

How to use Goodeye?

Connect to Goodeye’s remote MCP server via Streamable HTTP using the provided JSON configuration (URL https://mcp.goodeye.dev/mcp). Authenticate with OAuth or by passing a good_live_ API key as a Bearer token. Alternatively, install the CLI tool with uv tool install goodeye.

Key features of Goodeye

Outcome-aligned AI workflow registry with verifiers.
Score agents against measurable results.
Run workflows from an agent or CLI.
Built-in reliable image output.

Use cases of Goodeye

Designing AI workflows that are automatically scored on outcomes.
Running verifiable agent tasks from a command-line interface.
Integrating outcome-based evaluation into existing AI pipelines.

FAQ from Goodeye

How do I authenticate with the Goodeye MCP server?

What transport protocol does Goodeye use?

Goodeye supports remote MCP over Streamable HTTP.

How can I install the Goodeye CLI?

Install it with uv tool install goodeye.

Where can I find the workflow catalog and documentation?

The catalog is at https://goodeye.dev and full documentation is at https://goodeye.dev/docs.

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