How do I install the ghostshell mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

The recorded environment keys are `AUTH0_JWT_TOKEN`, `API_BASE_URL`. Keep credentials outside committed files and confirm the configuration required by your installed version.

SSyncDev

Start a project

Ghostshell MCP Server

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

Remote serverstreamable-httpPython

What is the Ghostshell MCP Server?

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

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

Tool	What it does
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

Configuration

Variable	Description	Required
AUTH0_JWT_TOKEN	Credential the server authenticates with.	Yes
API_BASE_URL	Endpoint or connection string the server talks to.	Yes

Example prompts to try

“Use Ghostshell to check causality.”
“Use Ghostshell to generate attributes levels.”
“Use Ghostshell to validate population.”

Frequently asked questions

Run AI-powered conjoint experiments from Claude, Cursor, or any MCP-compatible client. Understand **why** people make decisions using causal inference and synthetic Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.

Alternatives to the Ghostshell MCP Server

n8n

Stop letting your assistant hallucinate n8n node parameters — this server hands it the real schemas, templates and validation.

Developer ToolsRemoteTypeScript★ 22.5k

AWS

Official

AWS Labs' official server suite — current AWS docs, CDK guidance, cost analysis and service tools.

Cloud & DevOpsPython★ 7.0k

google-calendar-mcp-server

This project integrates the Google Calendar v3 APIs with a custom MCP (Model Context Protocol) Server, enabling natural language interaction with your calendar via tools like Claude Desktop.

Productivity & Project ManagementRemote

Development Server

Enables Claude to manage software development projects with project context awareness and code execution via Docker.

Cloud & DevOpsPython★ 4

Vercel AI

Integrates Vercel AI SDK with an MCP server to support OpenAI and Mistral LLM providers.

AI & ML Services★ 9

Email-validator

Cloudflare Workers MCP server: email-validator

CommunicationRemote