Help An Agent

by jrcruciani

118 downloads

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GitHub

About

Help an Agent lets AI agents pause and consult real humans when they face decisions requiring emotional, social, ethical, or cultural judgment — situations where technical correctness isn't enough.

Details

Author: jrcruciani
Downloads: 118
Categories: AI

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 Help An Agent

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": {
        "help an agent": {
            "helpanagent": {
                "command": "npx",
                "args": [
                    "-y",
                    "helpanagent-mcp"
                ],
                "env": {
                    "HELPANAGENT_API_KEY": "your_api_key"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "help an agent": {
            "helpanagent": {
                "command": "npx",
                "args": [
                    "-y",
                    "helpanagent-mcp"
                ],
                "env": {
                    "HELPANAGENT_API_KEY": "your_api_key"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "help an agent": {
            "helpanagent": {
                "command": "npx",
                "args": [
                    "-y",
                    "helpanagent-mcp"
                ],
                "env": {
                    "HELPANAGENT_API_KEY": "your_api_key"
                }
            }
        }
    }
}

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": {
        "help an agent": {
            "helpanagent": {
                "command": "npx",
                "args": [
                    "-y",
                    "helpanagent-mcp"
                ],
                "env": {
                    "HELPANAGENT_API_KEY": "your_api_key"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "help an agent": {
            "helpanagent": {
                "command": "npx",
                "args": [
                    "-y",
                    "helpanagent-mcp"
                ],
                "env": {
                    "HELPANAGENT_API_KEY": "your_api_key"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "help an agent": {
            "helpanagent": {
                "command": "npx",
                "args": [
                    "-y",
                    "helpanagent-mcp"
                ],
                "env": {
                    "HELPANAGENT_API_KEY": "your_api_key"
                }
            }
        }
    }
}

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": {
        "help an agent": {
            "helpanagent": {
                "command": "npx",
                "args": [
                    "-y",
                    "helpanagent-mcp"
                ],
                "env": {
                    "HELPANAGENT_API_KEY": "your_api_key"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "help an agent": {
            "helpanagent": {
                "command": "npx",
                "args": [
                    "-y",
                    "helpanagent-mcp"
                ],
                "env": {
                    "HELPANAGENT_API_KEY": "your_api_key"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "help an agent": {
            "helpanagent": {
                "command": "npx",
                "args": [
                    "-y",
                    "helpanagent-mcp"
                ],
                "env": {
                    "HELPANAGENT_API_KEY": "your_api_key"
                }
            }
        }
    }
}

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": {
        "help an agent": {
            "helpanagent": {
                "command": "npx",
                "args": [
                    "-y",
                    "helpanagent-mcp"
                ],
                "env": {
                    "HELPANAGENT_API_KEY": "your_api_key"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "help an agent": {
            "helpanagent": {
                "command": "npx",
                "args": [
                    "-y",
                    "helpanagent-mcp"
                ],
                "env": {
                    "HELPANAGENT_API_KEY": "your_api_key"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "help an agent": {
            "helpanagent": {
                "command": "npx",
                "args": [
                    "-y",
                    "helpanagent-mcp"
                ],
                "env": {
                    "HELPANAGENT_API_KEY": "your_api_key"
                }
            }
        }
    }
}

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": {
        "help an agent": {
            "helpanagent": {
                "command": "npx",
                "args": [
                    "-y",
                    "helpanagent-mcp"
                ],
                "env": {
                    "HELPANAGENT_API_KEY": "your_api_key"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "help an agent": {
            "helpanagent": {
                "command": "npx",
                "args": [
                    "-y",
                    "helpanagent-mcp"
                ],
                "env": {
                    "HELPANAGENT_API_KEY": "your_api_key"
                }
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "help an agent": {
            "helpanagent": {
                "command": "npx",
                "args": [
                    "-y",
                    "helpanagent-mcp"
                ],
                "env": {
                    "HELPANAGENT_API_KEY": "your_api_key"
                }
            }
        }
    }
}

From the repository

Install the package via npm (helpanagent-mcp) and configure it in your MCP client. The agent calls ask_humans with a question and category; humans respond on helpanagent.site with direction (yes/no/depends) and certainty (1–5). The server returns a weighted consensus direction, confidence score, and response count.

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "help an agent": {
            "helpanagent": {
                "command": "npx",
                "args": [
                    "-y",
                    "helpanagent-mcp"
                ],
                "env": {
                    "HELPANAGENT_API_KEY": "your_api_key"
                }
            }
        }
    }
}

McpServers

{
    "helpanagent": {
        "command": "npx",
        "args": [
            "-y",
            "helpanagent-mcp"
        ],
        "env": {
            "HELPANAGENT_API_KEY": "your_api_key"
        }
    }
}

Help an Agent lets AI agents pause and consult real humans when they face decisions requiring emotional, social, ethical, or cultural judgment — situations where technical correctness isn't enough.

Tools provided:

ask_humans — Submit a question with context, wait for human consensus (polls with backoff)
check_pulse — Check status of a previously submitted consultation

How it works:

Agent calls ask_humans with a question and category
Real humans respond on helpanagent.site with direction (yes/no/depends) and certainty (1–5)
Weighted consensus engine aggregates responses (reputation-weighted, outlier detection, 25% individual cap)
Agent gets back: consensus direction, confidence score, response count

Stack: Cloudflare Workers + D1 + KV (fully serverless)
npm: helpanagent-mcp
Website: https://helpanagent.site
Docs: https://helpanagent.site/docs
GitHub: https://github.com/jrcruciani/helpanagent

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Details

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Setting up with Highlight

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