zen-mcp-server

zen-mcp-server

PythonAiClaudeGeminiOpenaiGrokModelContextProtocolCodeReviewAutomatedTestingSecurityDocumentationOnPremiseCloudOllamaJavascriptGoRubySwift

About This Server

The power of Claude Code + [Gemini / OpenAI / Grok / OpenRouter / Ollama / Custom Model / All Of The Above] working as one.

Server Information

šŸ“‹ Overview:

This webpage is the GitHub repository page for BeehiveInnovations' "zen-mcp-server," a project that integrates Claude Code with other AI models like Gemini, OpenAI, Grok, OpenRouter, Ollama, and custom models. The project aims to provide enhanced code analysis, problem-solving, and collaborative development workflows through AI orchestration. The server is designed to allow Claude to engage other models when needed and to follow through with back-and-forth communication.


⭐ Key Points:
* Integrates Claude Code with multiple AI models for enhanced development workflows.
* Offers tools for planning, code review, debugging, analysis, and pre-commit validation.
* Supports AI-to-AI conversation threading for seamless context sharing across models.
* Provides quickstart guides, configuration details, and testing instructions.
* Supports various API key options, including OpenRouter, native APIs, and custom API endpoints.

* Emphasizes the role of the user as the "AI" who guides and prompts the models.


šŸ” Main Findings:
* The project focuses on AI orchestration, allowing Claude Code to leverage multiple AI models for different tasks.
* It offers a set of tools designed to emulate a structured development workflow, guiding the AI through systematic investigation and problem-solving steps.
* The project supports the use of both cloud-based and local AI models, offering flexibility in terms of cost and privacy.

* The project is licensed under Apache 2.0 and welcomes contributions from the community.


šŸ“Š Details:
* The repository includes directories for Claude configurations, GitHub-related files, documentation, examples, patch files, AI providers, scripts, simulator tests, system prompts, and testing resources.
* The project emphasizes the use of specific tools like "chat," "thinkdeep," "planner," "consensus," "codereview," "precommit," "debug," "analyze," "refactor," "tracer," "testgen," "secaudit," and "docgen".
* Configuration is primarily managed through environment variables in a `.env` file.

* The project has a relatively active community with 17 contributors and a high number of stars.


šŸŽÆ Conclusion:
The "zen-mcp-server" project provides a framework for enhancing the capabilities of Claude Code by integrating it with other AI models and enforcing a structured development workflow. It offers a range of tools and configurations to enable AI-driven code analysis, problem-solving, and collaboration, with a focus on developer control and best practices.

Server Features

chat

Collaborative thinking and development conversations

thinkdeep

Extended reasoning and problem-solving

challenge

Critical challenge prompt, prevents You're absolutely right! responses

planner

Interactive step-by-step planning for complex projects

consensus

Multi-model consensus analysis with stance steering

codereview

Professional code review with severity levels

precommit

Validate git changes before committing

debug

Systematic investigation and debugging

analyze

General-purpose file and code analysis

refactor

Code refactoring with decomposition focus

tracer

Static code analysis prompt generator for call-flow mapping

testgen

Comprehensive test generation with edge case coverage

secaudit

Comprehensive security audit with OWASP Top 10 analysis

docgen

Comprehensive documentation generation with complexity analysis

listmodels

Display all available AI models organized by provider

version

Get server version and configuration

Provider Information

BeehiveInnovations logo

BeehiveInnovations

cloud Provider

Visit Provider Website

Quick Actions

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MCP Configuration

Available Tools

chatthinkdeepchallengeplannerconsensuscodereviewprecommitdebuganalyzerefactortracertestgensecauditdocgenlistmodelsversion