PAL MCP Server: Multi-Model AI Orchestration

Skill by ara.so — MCP Skills collection.

PAL MCP (Provider Abstraction Layer) is an MCP server that enables AI coding assistants like Claude Code, Cursor, and Codex CLI to orchestrate multiple AI models within a single workflow. It provides conversation continuity across models, CLI-to-CLI bridging, and specialized workflows for code review, debugging, planning, and security auditing.

What PAL MCP Does

• Multi-Model Orchestration: Coordinate Gemini, OpenAI, Anthropic, Grok, Azure, Ollama, and OpenRouter models in one conversation
• Conversation Threading: Full context flows across tools and models - later models remember what earlier ones said
• CLI Bridging (clink): Spawn isolated CLI instances (Gemini CLI, Codex CLI, Claude Code) as subagents with specialized roles
• Context Isolation: Run separate investigations without polluting your primary workspace
• Extended Context Windows: Delegate to models with larger context (Gemini's 1M tokens, O3's 200K tokens)
• Specialized Workflows: Built-in tools for code review, debugging, planning, security audits, and pre-commit checks

Installation

Prerequisites