Subconscious Ai Mcp

by subconscious-ai

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About

Run conjoint experiments and causal research through AI-powered behavioral simulations

Explore

- 🧠 Causal Research - Validate research questions and generate statistically valid experiments
- 👥 Synthetic Populations - AI personas based on US Census microdata (IPUMS) for representative sampling
- 📊 Conjoint Analysis - AMCE (Average Marginal Component Effects) for measuring attribute importance
- 🤖 MCP Protocol - Works with Claude Desktop, Cursor, and any MCP-compatible AI assistant
- 🌐 REST API - Direct HTTP access for integrations (n8n, Zapier, custom apps)
- ⚡ Real-time Updates - Server-Sent Events (SSE) for live experiment progress

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 Subconscious Ai Mcp

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": {
        "subconscious ai mcp": {
            "subconscious-ai": {
                "url": "https://ghostshell-runi.vercel.app/api/sse?token=YOUR_TOKEN"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "subconscious ai mcp": {
            "subconscious-ai": {
                "url": "https://ghostshell-runi.vercel.app/api/sse?token=YOUR_TOKEN"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "subconscious ai mcp": {
            "subconscious-ai": {
                "url": "https://ghostshell-runi.vercel.app/api/sse?token=YOUR_TOKEN"
            }
        }
    }
}

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": {
        "subconscious ai mcp": {
            "subconscious-ai": {
                "url": "https://ghostshell-runi.vercel.app/api/sse?token=YOUR_TOKEN"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "subconscious ai mcp": {
            "subconscious-ai": {
                "url": "https://ghostshell-runi.vercel.app/api/sse?token=YOUR_TOKEN"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "subconscious ai mcp": {
            "subconscious-ai": {
                "url": "https://ghostshell-runi.vercel.app/api/sse?token=YOUR_TOKEN"
            }
        }
    }
}

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": {
        "subconscious ai mcp": {
            "subconscious-ai": {
                "url": "https://ghostshell-runi.vercel.app/api/sse?token=YOUR_TOKEN"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "subconscious ai mcp": {
            "subconscious-ai": {
                "url": "https://ghostshell-runi.vercel.app/api/sse?token=YOUR_TOKEN"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "subconscious ai mcp": {
            "subconscious-ai": {
                "url": "https://ghostshell-runi.vercel.app/api/sse?token=YOUR_TOKEN"
            }
        }
    }
}

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": {
        "subconscious ai mcp": {
            "subconscious-ai": {
                "url": "https://ghostshell-runi.vercel.app/api/sse?token=YOUR_TOKEN"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "subconscious ai mcp": {
            "subconscious-ai": {
                "url": "https://ghostshell-runi.vercel.app/api/sse?token=YOUR_TOKEN"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "subconscious ai mcp": {
            "subconscious-ai": {
                "url": "https://ghostshell-runi.vercel.app/api/sse?token=YOUR_TOKEN"
            }
        }
    }
}

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": {
        "subconscious ai mcp": {
            "subconscious-ai": {
                "url": "https://ghostshell-runi.vercel.app/api/sse?token=YOUR_TOKEN"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "subconscious ai mcp": {
            "subconscious-ai": {
                "url": "https://ghostshell-runi.vercel.app/api/sse?token=YOUR_TOKEN"
            }
        }
    }
}

JSON

{
    "mcpServers": {
        "subconscious ai mcp": {
            "subconscious-ai": {
                "url": "https://ghostshell-runi.vercel.app/api/sse?token=YOUR_TOKEN"
            }
        }
    }
}

From the repository

python3 -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate

pip install -r requirements.txt

export AUTH0_JWT_TOKEN="your_token_here"
export API_BASE_URL="https://api.subconscious.ai"



Add to your MCP config:

json
{
"mcpServers": {
"subconscious-ai": {
"command": "/absolute/path/to/venv/bin/python3",
"args": ["/absolute/path/to/server/main.py"],
"env": {
"AUTH0_JWT_TOKEN": "your_token",
"API_BASE_URL": "https://api.subconscious.ai"
}
}
}
}

npm i -g vercel

git clone https://github.com/Subconscious-ai/subconscious-ai-mcp.git cd subconscious-ai-mcp vercel --prod

Configure environment variables in Vercel dashboard:
- API_BASE_URL: https://api.subconscious.ai (or your backend URL)

> ⚠️ Users must provide their own tokens - the server proxies requests to the Subconscious AI backend.

`check_causality`

Validate that a research question is causal

`generate_attributes_levels`

Generate experiment attributes and levels using AI

`validate_population`

Validate target population demographics

`get_population_stats`

Get population statistics for a country

`create_experiment`

Create and run a conjoint experiment

`get_experiment_status`

Check experiment progress

`list_experiments`

List all your experiments

`get_experiment_results`

Get detailed experiment results

`get_run_details`

Get detailed run information

`get_run_artifacts`

Get run artifacts and files

`update_run_config`

Update run configuration

`generate_personas`

Generate AI personas for an experiment

`get_experiment_personas`

Get personas for an experiment

`get_amce_data`

Get AMCE analytics data

`get_causal_insights`

Get AI-generated causal insights

| Tool | Description |
|------|-------------|
| check_causality | Validate that a research question is causal |
| generate_attributes_levels | Generate experiment attributes and levels using AI |
| validate_population | Validate target population demographics |
| get_population_stats | Get population statistics for a country |
| create_experiment | Create and run a conjoint experiment |
| get_experiment_status | Check experiment progress |
| list_experiments | List all your experiments |
| get_experiment_results | Get detailed experiment results |
| get_run_details | Get detailed run information |
| get_run_artifacts | Get run artifacts and files |
| update_run_config | Update run configuration |
| generate_personas | Generate AI personas for an experiment |
| get_experiment_personas | Get personas for an experiment |
| get_amce_data | Get AMCE analytics data |
| get_causal_insights | Get AI-generated causal insights |

Claude Desktop / Cursor

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

{
    "mcpServers": {
        "subconscious ai mcp": {
            "subconscious-ai": {
                "url": "https://ghostshell-runi.vercel.app/api/sse?token=YOUR_TOKEN"
            }
        }
    }
}

McpServers

{
    "subconscious-ai": {
        "url": "https://ghostshell-runi.vercel.app/api/sse?token=YOUR_TOKEN"
    }
}

Run AI-powered conjoint experiments from Claude, Cursor, or any MCP-compatible client. Understand why people make decisions using causal inference and synthetic populations.

✨ Features

🚀 Quick Start

Option 1: Use Hosted Server (Recommended)

No setup required! Add to your MCP client configuration:

Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json):

{

  "mcpServers": {

    "subconscious-ai": {

      "url": "https://ghostshell-runi.vercel.app/api/sse?token=YOUR_TOKEN"

    }

  }

}

Cursor (~/.cursor/mcp.json):

{

  "mcpServers": {

    "subconscious-ai": {

      "url": "https://ghostshell-runi.vercel.app/api/sse?token=YOUR_TOKEN"

    }

  }

}

> 🔑 Get your token at app.subconscious.ai → Settings → Access Token

Option 2: Run Locally

Prerequisites:
- Python 3.11+
- A Subconscious AI account and Access token

```bash

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About

Explore

Setting up with Highlight

From the repository

check_causality

generate_attributes_levels

validate_population

get_population_stats

create_experiment

get_experiment_status

list_experiments

get_experiment_results

get_run_details

get_run_artifacts

update_run_config

generate_personas

get_experiment_personas

get_amce_data

get_causal_insights

Claude Desktop / Cursor

McpServers

✨ Features

🚀 Quick Start

Option 1: Use Hosted Server (Recommended)

Option 2: Run Locally

More like this

Sequential Thinking

Time

Filesystem

EverArt

`check_causality`

`generate_attributes_levels`

`validate_population`

`get_population_stats`

`create_experiment`

`get_experiment_status`

`list_experiments`

`get_experiment_results`

`get_run_details`

`get_run_artifacts`

`update_run_config`

`generate_personas`

`get_experiment_personas`

`get_amce_data`

`get_causal_insights`