Goodeye MCP Server

Q: How do I authenticate with the Goodeye MCP server?

Sign in with OAuth, or pass a `good_live_` API key as a Bearer token in the request.

@Goodeye-Labs

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

Goodeye-Labs

提交者

Randy Olson

关于 Goodeye MCP Server

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

Goodeye MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

Goodeye MCP Server 工具

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点击上方按钮,直接连接服务器端点实时获取工具列表。

概览

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.

常见问题

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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