PsyFlow
A lightweight FastMCP server that enables language models to discover, clone, transform, and localize PsyFlow task templates through a streamlined workflow with standardized tools.
What is PsyFlow?
PsyFlow is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to lightweight fastmcp server that enables language models to discover, clone, transform, and localize psyflow task templates through a streamlined workflow with standardized tools.
A lightweight FastMCP server that enables language models to discover, clone, transform, and localize PsyFlow task templates through a streamlined workflow with standardized tools.
This server falls under the Developer Tools category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- A lightweight FastMCP server that enables language models to
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx psyflow-mcpConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about PsyFlow
What is PsyFlow?
PsyFlow is a Model Context Protocol (MCP) server that lightweight fastmcp server that enables language models to discover, clone, transform, and localize psyflow task templates through a streamlined workflow with standardized tools. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install PsyFlow?
Follow the installation instructions on the PsyFlow GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with PsyFlow?
PsyFlow works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is PsyFlow free to use?
Yes, PsyFlow is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.
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Set Up PsyFlow in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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