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P2 Knowledge Base - Getting Started

For AI Assistants

⭐ With MCP (recommended)

If your agent supports the Model Context Protocol — Claude Code, Claude Desktop, ChatGPT with MCP support, and others — install the P2 Knowledge Base MCP. Your agent gets native tool calls for KB queries; no local cache to manage, always serves the latest published content.

→ MCP install instructions

Once installed, just ask questions naturally:

"How does the P2 ADD instruction work?"
"Configure a Smart Pin for UART."
"Explain P2 COG architecture."

See AI-PROMPT-PATTERNS.md for more example queries.

Without MCP (fetch-script path)

If your agent doesn't support MCP, use the fetch-script BOOTSTRAP:

https://raw.githubusercontent.com/ironsheep/P2-Knowledge-Base/main/deliverables/ai-reference/BOOTSTRAP.md

Fetch that file to get one-command setup for both Unix/macOS and Windows.

What You Get

  • 1000+ content files covering PASM2, Spin2, architecture, smart pins, OBEX community code
  • Key-based access (fetch-script) or natural-language queries (MCP)
  • Always-current published index (MCP) or local caching (fetch-script)

Quick Reference (fetch-script path)

.p2kb-cache/fetch-kb-file.sh --search uart     # Find keys
.p2kb-cache/fetch-kb-file.sh --categories      # Browse categories
.p2kb-cache/fetch-kb-file.sh p2kbPasm2Mov      # Fetch content

(MCP users don't need these — the agent calls p2kb_find / p2kb_get directly.)