sage-pi-adapter

Integrate Sage Protocol MCP tools into the pi coding agent runtime.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/sage-protocol/sage-pi-adapter --skill sage-pi-adapter
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sage-pi-adapter
Source: https://github.com/sage-protocol/sage-pi-adapter/tree/main
Command: npx skills add https://github.com/sage-protocol/sage-pi-adapter --skill sage-pi-adapter

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill seamlessly integrates the Sage Protocol's Machine Communication Protocol (MCP) tools and features into the pi coding agent runtime, enhancing its capabilities for interacting with AI models and development workflows.

Core Features & Use Cases

  • Sage MCP Tools: Provides access to sage_search, sage_execute, and sage_status for advanced AI interactions.
  • Session Hook Integration: Enables features like sage skill context and sage suggest hook skill for dynamic AI assistance.
  • RLM Capture Hooks: Captures prompt and response data for Reinforcement Learning from Human Feedback (RLHF).
  • Security Scanning: Optionally integrates pre- and post-tool execution security scans.
  • Use Case: When developing with pi, you can now leverage Sage's powerful prompt discovery, execution, and governance tools directly within your agent's workflow, leading to more intelligent and context-aware AI assistance.

Quick Start

Use the sage-pi-adapter skill to integrate Sage MCP tools into your pi agent session.

Frequently Asked Questions about sage-pi-adapter

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate Machine Communication Protocol tools into a pi coding agent?

To integrate Machine Communication Protocol tools into a pi coding agent, use the sage-pi-adapter to map sage_search, sage_execute, and sage_status directly into the pi runtime for advanced AI interactions.

Can I capture prompt and response data for RLHF within a pi agent session?

Yes, you can capture prompt and response data for Reinforcement Learning from Human Feedback by utilizing the RLM capture hooks provided by the sage-pi-adapter during the pi agent session.

Does the pi CLI support dynamic skill suggestions and context management?

Yes, the pi CLI supports dynamic skill suggestions and context management by enabling session hook integration, allowing the pi agent to access features like sage suggest hook skill.

How do I add pre and post-tool execution security scans to an AI agent workflow?

You add pre and post-tool execution security scans to an AI agent workflow by configuring the optional security scanning features available within the sage-pi-adapter for the pi coding agent runtime.

Can I use the Sage Protocol SDK directly without the pi CLI?

Yes, you can use the Sage Protocol SDK directly without the pi CLI, as the adapter facilitates seamless integration for both pi CLI users and direct SDK embedding scenarios.

What is the best way to execute Sage Protocol commands directly from a pi agent?

The best way to execute Sage Protocol commands directly from a pi agent is by integrating the sage_execute tool, which enables prompt discovery, execution, and governance directly within the workflow.