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Prolific MCP Server

@prolific-oss

リポジトリ

基本情報

カテゴリ

その他

トランスポート

stdio

作者

prolific-oss

投稿者

Bradley Fehler

Prolific MCP Server について

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

#human-data#hitl#ai-evals

Prolific MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

Prolific MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

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.

よくある質問

1

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`.

2

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.

3

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.

4

What transports are supported?

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

5

What are the runtime requirements?

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

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