fix: rebranding, see [docs/name-change.md](docs/name-change.md) for details
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# Advanced Usage Guide
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This guide covers advanced features, configuration options, and workflows for power users of the Zen MCP server.
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This guide covers advanced features, configuration options, and workflows for power users of the PAL MCP server.
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## Table of Contents
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"Get o3 to do a security review of auth/ with thinking mode high"
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# Complex debugging, letting claude pick the best model
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"Use zen to debug this race condition with max thinking mode"
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"Use pal to debug this race condition with max thinking mode"
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# Architecture analysis with Gemini 3.0 Pro
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"Analyze the entire src/ directory architecture with high thinking using pro"
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## Context Revival: AI Memory Beyond Context Limits
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**The Zen MCP Server's most revolutionary feature** is its ability to maintain conversation context even after Claude's memory resets. This enables truly persistent AI collaboration across multiple sessions and context boundaries.
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**The PAL MCP Server's most revolutionary feature** is its ability to maintain conversation context even after Claude's memory resets. This enables truly persistent AI collaboration across multiple sessions and context boundaries.
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### **The Breakthrough**
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@@ -310,15 +310,15 @@ Take a look at these log files saved under subfolder/diagnostics.log there's a b
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crashes at launch. Think hard and go over each line, tallying it with corresponding code within the project. After
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you've performed initial investigation, ask gemini pro to analyze the log files and the related code where you
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suspect lies the bug and then formulate and implement a bare minimal fix. Must not regress. Perform a precommit
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with zen in the end using gemini pro to confirm we're okay to publish the fix
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with pal in the end using gemini pro to confirm we're okay to publish the fix
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```
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### Refactor → Review → Implement → Test
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```
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Use zen to analyze this legacy authentication module for decomposition opportunities. The code is getting hard to
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Use pal to analyze this legacy authentication module for decomposition opportunities. The code is getting hard to
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maintain and we need to break it down. Use gemini pro with high thinking mode to identify code smells and suggest
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a modernization strategy. After reviewing the refactoring plan, implement the changes step by step and then
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generate comprehensive tests with zen to ensure nothing breaks.
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generate comprehensive tests with pal to ensure nothing breaks.
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```
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### Tool Selection Guidance
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## Vision Support
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The Zen MCP server supports vision-capable models for analyzing images, diagrams, screenshots, and visual content. Vision support works seamlessly with all tools and conversation threading.
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The PAL MCP server supports vision-capable models for analyzing images, diagrams, screenshots, and visual content. Vision support works seamlessly with all tools and conversation threading.
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**Supported Models:**
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- **Gemini 3.0 Pro & Flash**: Excellent for diagrams, architecture analysis, UI mockups (up to 20MB total)
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**Usage Examples:**
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```bash
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# Debug with error screenshots
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"Use zen to debug this error with the stack trace screenshot and error.py"
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"Use pal to debug this error with the stack trace screenshot and error.py"
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# Architecture analysis with diagrams
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"Analyze this system architecture diagram with gemini pro for bottlenecks"
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User: "Use gemini to review this code: [50,000+ character detailed analysis]"
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# Server detects the large prompt and responds:
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Zen MCP: "The prompt is too large for MCP's token limits (>50,000 characters).
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PAL MCP: "The prompt is too large for MCP's token limits (>50,000 characters).
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Please save the prompt text to a temporary file named 'prompt.txt' and resend
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the request with an empty prompt string and the absolute file path included
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in the absolute_file_paths parameter, along with any other files you wish to share as context."
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