@prolific-oss
基本信息
A Model Context Protocol server bridging LLM agents to the Prolific public API. Built with FastMCP.
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"prolific": {
"command": "uvx",
"args": [
"prolific-mcp"
],
"env": {
"PROLIFIC_TOKEN": "your_token_here"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
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.
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.
get_filters, create_filter_set, publish_study, and more.PROLIFIC_TOKEN and PROLIFIC_URL..mcpb bundle for easy installation in Claude Desktop.publish_study spends real money on participants.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`.
Create a token at https://app.prolific.com and set it as the `PROLIFIC_TOKEN` environment variable.
No. The server uses the same production endpoint for all actions, so publishing a study spends real money immediately.
The server supports stdio (default) and streamable HTTP (use `--http` flag). It can be configured with `--host` and `--port` overrides.
Python 3.11 or higher is required, along with a valid Prolific API token.
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