PAPI
Structured AI project planning: cycles, tasks, strategy reviews, and build handoffs.
What is PAPI?
PAPI is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to structured ai project planning: cycles, tasks, strategy reviews, and build handoffs.
Structured AI project planning: cycles, tasks, strategy reviews, and build handoffs.
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Structured AI project planning: cycles, tasks, strategy revi
Use Cases
Maintainer
Works with
Installation
NPM
npx -y @papi-ai/serverManual Installation
npx -y @papi-ai/serverConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about PAPI
What is PAPI?
PAPI is a Model Context Protocol (MCP) server that structured ai project planning: cycles, tasks, strategy reviews, and build handoffs. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install PAPI?
Install via npm with the command: npx -y @papi-ai/server. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).
Which AI clients work with PAPI?
PAPI works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is PAPI free to use?
Yes, PAPI is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Browse More Coding Agents MCP Servers
Explore all coding agents servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up PAPI 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
Ready to use PAPI?
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