PAL MCP Server is a Provider Abstraction Layer that orchestrates multiple AI models from different providers—such as Gemini, OpenAI, Anthropic, Grok, Azure, Ollama, and OpenRouter—within a single unified workflow when using AI coding assistants like Claude Code, Gemini CLI, Codex CLI, Cursor, and Qwen Code CLI. Key features of PAL MCP Server: - Simultaneous access to multiple AI providers in a single prompt for diverse model capabilities. - CLI-to-CLI bridge (clink tool) that connects external AI CLIs and spawns isolated subagents for parallel tasks. - Context isolation that keeps main workspace unpolluted while running separate investigations in subagents. - Role specialization allowing creation of custom agents like planners or code reviewers with targeted system prompts. - Consensus building across different models to compare reasoning before implementation. - Seamless handoff of conversation context between different AI tools and model providers.

PAL MCP: Many Workflows. One Context.

Your AI's PAL – a Provider Abstraction Layer Formerly known as Zen MCP

PAL in action

👉 Watch more examples

Your CLI + Multiple Models = Your AI Dev Team

Use the 🤖 CLI you love: Claude Code · Gemini CLI · Codex CLI · Qwen Code CLI · Cursor · _and more_

With multiple models within a single prompt: Gemini · OpenAI · Anthropic · Grok · Azure · Ollama · OpenRouter · DIAL · On-Device Model

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🆕 Now with CLI-to-CLI Bridge

The new clink (CLI + Link) tool connects external AI CLIs directly into your workflow:

# Codex spawns Codex subagent for isolated code review in fresh context
clink with codex codereviewer to audit auth module for security issues
Subagent reviews in isolation, returns final report without cluttering your context as codex reads each file and walks the directory structure
Consensus from different AI models → Implementation handoff with full context preservation between tools
Use consensus with gpt-5 and gemini-pro to decide: dark mode or offline support next
Continue with clink gemini - implement the recommended feature
Gemini receives full debate context and starts coding immediately

👉 Learn more about clink

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Why PAL MCP?

Why rely on one AI model when you can orchestrate them all?

A Model Context Protocol server that supercharges tools like Claude Code, Codex CLI, and IDE clients such as Cursor or the Claude Dev VS Code extension. **PAL MCP connects your favorite AI tool to multiple AI models** for enhanced code analysis, problem-solving, and collaborative development.

True AI Collaboration with Conversation Continuity

PAL supports conversation threading so your CLI can discuss ideas with multiple AI models, exchange reasoning, get second opinions, and even run collaborative debates between models to help you reach deeper insights and better solutions.

Your CLI always stays in control but gets perspectives from the best AI for each subtask. Context carries forward seamlessly across tools and models, enabling complex workflows like: code reviews with multiple models → automated planning → implementation → pre-commit validation.

> You're in control. Your CLI of choice orchestrates the AI team, but you decide the workflow. Craft powerful prompts that bring in Gemini Pro, GPT 5, Flash, or local offline models exactly when needed.

Reasons to Use PAL MCP

A typical workflow with Claude Code as an example:

1. Multi-Model Orchestration - Claude coordinates with Gemini Pro, O3, GPT-5, and 50+ other models to get the best analysis for each task

2. Context Revival Magic - Even after Claude's context resets, continue conversations seamlessly by having other models "remind" Claude of the discussion

3. Guided Workflows - Enforces systematic investigation phases that prevent rushed analysis and ensure thorough code examination

4. Extended Context Windows - Break Claude's limits by delegating to Gemini (1M tokens) or O3 (200K tokens) for massive codebases

5. True Conversation Continuity - Full context flows across tools and models - Gemini remembers what O3 said 10 steps ago

6. Model-Specific Strengths - Extended thinking with Gemini Pro, blazing speed with Flash, strong reasoning with O3, privacy with local Ollama

7. **Profe