What is the Tzurot Council MCP?

It is a Claude Code skill that interfaces with the Council MCP server, allowing developers to consult various AI models like Gemini, Claude, and DeepSeek for expert coding advice and reviews.

Can the Council MCP access my local files?

No, the Council models do not have direct access to your local filesystem or Git history; you must provide the necessary code context within your prompts.

Does this skill support multi-turn conversations?

Yes, it includes specific tools to start, continue, and summarize long-running discussions with AI models to maintain context over multiple exchanges.

Which AI models are available through this skill?

The skill provides access to several models via OpenRouter, including Claude 3.5 Sonnet, Gemini 2.0 Pro, DeepSeek R1, and various free-tier models like Llama 3.3.

When should I use the Council skill?

You should use it for major refactorings, complex debugging, architectural brainstorming, or whenever you need a second opinion on a technical decision.

Tzurot Council MCP

Name: Tzurot Council MCP
Author: lbds137

bylbds137

•

Collaboration Tools

Consults a multi-model AI council via OpenRouter for advanced code reviews, structured debugging, and architectural brainstorming.

About

The Tzurot Council MCP skill integrates with the Council MCP server to provide developers with a diverse panel of AI experts during the development of the Tzurot Discord bot. By leveraging models like Gemini, Claude, and DeepSeek via OpenRouter, this skill enables high-level technical consultation, safe refactoring plans, and deep-dive debugging sessions. It is specifically designed to act as a 'second opinion' system, helping users validate complex logic, brainstorm solutions for large-scale changes, and maintain high code quality through multi-turn, context-aware AI conversations.

Key Features

Multi-model access via OpenRouter (Claude, Gemini, DeepSeek, Llama)
Step-by-step refactoring plans with focus on behavior preservation
8 GitHub stars
Structured debugging tools with hypothesis tracking and attempt history
Context-aware model recommendations based on specific task types
Multi-turn conversation management for complex architectural discussions

Use Cases

Getting diverse perspectives on service design before completing major PRs
Planning and validating major refactors exceeding 500 lines of code
Investigating complex race conditions or memory leaks in Discord bot workers

About

Key Features

Multi-model access via OpenRouter (Claude, Gemini, DeepSeek, Llama)
Step-by-step refactoring plans with focus on behavior preservation
8 GitHub stars
Structured debugging tools with hypothesis tracking and attempt history
Context-aware model recommendations based on specific task types
Multi-turn conversation management for complex architectural discussions

Use Cases

Getting diverse perspectives on service design before completing major PRs
Planning and validating major refactors exceeding 500 lines of code
Investigating complex race conditions or memory leaks in Discord bot workers