Prolific MCP Server

@prolific-oss

Basic information

About Prolific MCP Server

A Model Context Protocol server bridging LLM agents to the Prolific public API. Built with FastMCP.

#human-data#hitl#ai-evals

Prolific MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "prolific": {
      "command": "uvx",
      "args": [
        "prolific-mcp"
      ],
      "env": {
        "PROLIFIC_TOKEN": "your_token_here"
      }
    }
  }
}

Prolific MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Prolific Mcp Server?

Prolific Mcp Server is a Model Context Protocol (MCP) server that bridges LLM agents to the Prolific public API, enabling AI assistants to help researchers design and launch studies. It is built with FastMCP and listed on the official MCP Registry for discovery by Claude Desktop, Cursor, Claude Code, and other MCP-aware clients.

How to use Prolific Mcp Server?

Install and run using uvx prolific-mcp or from a local checkout with uv run prolific-mcp. Set the PROLIFIC_TOKEN environment variable with a Prolific API token. The server defaults to stdio but can also run over streamable HTTP using the --http flag, with optional --host / --port overrides. Most MCP clients accept the standard command / args / env configuration.

Key features of Prolific Mcp Server

Bridges LLM agents to the Prolific public API.
Exposes tools such as get_filters, create_filter_set, publish_study, and more.
Supports stdio and streamable HTTP transports.
Configurable via environment variables PROLIFIC_TOKEN and PROLIFIC_URL.
Published as a .mcpb bundle for easy installation in Claude Desktop.
No sandbox mode – publish_study spends real money on participants.

Use cases of Prolific Mcp Server

An LLM helps a researcher design a study by filtering participant eligibility and estimating counts.
An AI assistant creates and publishes a Prolific study draft on behalf of a user.
A developer integrates study management into an automated research pipeline via MCP clients.
A researcher reviews existing studies and workspaces with natural language queries.

Frequently asked questions

What tools does Prolific Mcp Server provide?

It provides tools like `get_filters`, `get_filter_sets`, `create_filter_set`, `get_eligibility_count`, `list_workspaces`, `list_projects`, `list_studies`, `view_study`, `create_study`, and `publish_study`.

How do I get a Prolific API token?

Create a token at https://app.prolific.com and set it as the `PROLIFIC_TOKEN` environment variable.

Is there a sandbox or test mode for the server?

No. The server uses the same production endpoint for all actions, so publishing a study spends real money immediately.

What transports are supported?

The server supports stdio (default) and streamable HTTP (use `--http` flag). It can be configured with `--host` and `--port` overrides.

What are the runtime requirements?

Python 3.11 or higher is required, along with a valid Prolific API token.

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