Goodeye

by Goodeye-Labs

324 downloads

Not rated

GitHub

About

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

Details

Author: Goodeye-Labs
Downloads: 324
Categories: Developer Tools, AI, Automation

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

Download and install Highlight from highlightai.com/download
Navigate to the plugins tab and select "Add Custom Plugin"
Configure the plugin with the settings below

Plugin Name Goodeye

Command (node, npx, python, etc.)

Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
Enable "Start Automatically" if you want the plugin to start when Highlight launches

Setting up with Cursor

Open Cursor's settings
Navigate to the MCP section
Click "Add new Global MCP server"
Copy and paste the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Claude Desktop

Open Claude Desktop's settings
Go to the Integrations tab
Click "Add MCP Server"
Use the configuration below based on your operating system

Note: Make sure Claude Desktop is running before attempting to connect.

JSON

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

JSON

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

JSON

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

Setting up with Windsurf

Open Windsurf's preferences
Go to the Integrations section
Click "Add MCP Integration"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

Setting up with Cline

Open Cline's settings
Navigate to the Integrations section
Click "Add MCP Server"
Copy and paste the configuration below based on your operating system

Note: Make sure to restart Cline after adding the configuration.

JSON

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

JSON

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

JSON

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

Setting up with Goose

Open Goose's preferences
Go to the Integrations tab
Select "MCP Servers"
Click "Add New Server"
Use the configuration below based on your operating system

JSON

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

JSON

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

JSON

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

From the repository

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.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

McpServers

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

Goodeye

Outcome-aligned AI workflow registry. Design AI workflows paired with verifiers that score an agent against a measurable result, then run them from your agent or the CLI. Reliable image output is built in. ## Connect (remote MCP, Streamable HTTP) ``

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



  Auth: sign in with OAuth, or pass a

good_live_

 API key as a Bearer token.

  ## Install the CLI

sh
  uv tool install goodeye



  ## Links

  - Catalog: https://goodeye.dev
  - Docs: https://goodeye.dev/docs
  - Repo (CLI client): https://github.com/Goodeye-Labs/goodeye-cli
  - Official MCP registry:

dev.goodeye/goodeye`

No reviews yet — be the first

Use Google, GitHub, or an email account so ratings stay tied to real people.

Email sign in

No reviews posted yet.

About

Details

Jump to

Setting up with Highlight

From the repository

Claude Desktop / Cursor

McpServers

Goodeye

Install

More like this

@mendableai/firecrawl Mcp Server

Umut Naci

Playwright

Sentry

Github

Fetch