Zen MCP Server

[zen_web.webm](https://github.com/user-attachments/assets/851e3911-7f06-47c0-a4ab-a2601236697c)

Remote serverstreamable-httpPython

What is the Zen MCP server?

zen_web.webm. The zen mcp server wraps that behind the Model Context Protocol, so an assistant can use it through 9 defined tools rather than through you.

What it actually does

🤖 Claude OR Gemini CLI + [Gemini / OpenAI / Grok / OpenRouter / DIAL / Ollama / Any Model] = Your Ultimate AI Development Team

  • Guided workflows — - Developer-centric processes that enforce systematic investigation, preventing rushed analysis by ensuring Claude examines code thoroughly at each phase (debug, precommit, refactor, analyze, codereview)
  • Multiple AI perspectives — - Let Claude orchestrate between different models to get the best analysis
  • Automatic model selection — - Claude picks the right model for each task (or you can specify)
  • A senior developer partner — to validate and extend ideas (chat)
  • A second opinion — on complex architectural decisions - augment Claude's thinking with perspectives from Gemini Pro, O3, or dozens of other models via custom endpoints (thinkdeep)
  • Get multiple expert opinions — - Have different AI models debate your ideas (some supporting, some critical) to help you make better decisions (consensus)

Its toolset

Everything the assistant can do here goes through one of these:

  • OpenRouter — Visit OpenRouter for access to multiple models through one API. Setup Guide
  • Gemini — Visit Google AI Studio and generate an API key. For best results with Gemini 2.5 Pro, use a paid API key
  • OpenAI — Visit OpenAI Platform to get an API key for O3 model access
  • X.AI — Visit X.AI Console to get an API key for GROK model access
  • DIAL — Visit DIAL Platform to get an API key for accessing multiple models through their unified API. DIAL is an open-source AI
  • Ollama — Run models like Llama 3.2 locally for free inference
  • vLLM — Self-hosted inference server for high-throughput inference
  • Pre — commit validation?** → precommit (validate git changes before committing)
  • Prerequisites — The Prerequisites tool exposed by this server

Configuration

You will need 7 environment variables: OPENAI_API_KEY, GEMINI_API_KEY, OPENROUTER_API_KEY, DIAL_API_KEY, DIAL_API_HOST, CUSTOM_API_URL, CUSTOM_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

  • Python 3.10+ (3.12 recommended) - Git - Windows users: WSL2 is required for Claude Code CLI

Adding it to your client

Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.

When to reach for it

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Zen's toolset — OpenRouter, Gemini, OpenAI and 6 more — is a fair guide to whether it matches your workflow. It is maintained by jray2123; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Zen's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Caveats

  • Your data travels to the provider's service, so the usual questions apply about what you send and what they retain.
  • With 9 tools registered it takes up a noticeable share of the context window; turn it off in projects that never touch Zen.
  • Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the zen mcp server does with a few real requests.

Available tools

ToolWhat it does
OpenRouterVisit [OpenRouter](https://openrouter.ai/) for access to multiple models through one API. [Setup Guide](docs/custom_models.md)
GeminiVisit [Google AI Studio](https://makersuite.google.com/app/apikey) and generate an API key. For best results with Gemini 2.5 Pro, use a paid API key as the free tier has limited access to the latest models.
OpenAIVisit [OpenAI Platform](https://platform.openai.com/api-keys) to get an API key for O3 model access.
X.AIVisit [X.AI Console](https://console.x.ai/) to get an API key for GROK model access.
DIALVisit [DIAL Platform](https://dialx.ai/) to get an API key for accessing multiple models through their unified API. DIAL is an open-source AI orchestration platform that provides vendor-agnostic access to models from maj
OllamaRun models like Llama 3.2 locally for free inference
vLLMSelf-hosted inference server for high-throughput inference
Precommit validation?** → precommit (validate git changes before committing)
PrerequisitesThe Prerequisites tool exposed by this server.

How to install the Zen MCP server

{
  "mcpServers": {
    "zen": {
      "command": "sh",
      "args": [
        "-c",
        "exec $(which uvx || echo uvx) --from git+https://github.com/BeehiveInnovations/zen-mcp-server.git zen-mcp-server"
      ],
      "env": {
        "PATH": "/usr/local/bin:/usr/bin:/bin:/opt/homebrew/bin:~/.local/bin",
        "OPENAI_API_KEY": "your_api_key_here"
      }
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Python 3.10+ (3.12 recommended) - Git - Windows users: WSL2 is required for Claude Code CLI
VariableDescriptionRequired
OPENAI_API_KEYCredential the server authenticates with.Yes
GEMINI_API_KEYCredential the server authenticates with.Yes
OPENROUTER_API_KEYCredential the server authenticates with.Yes
DIAL_API_KEYCredential the server authenticates with.Yes
DIAL_API_HOSTEndpoint or connection string the server talks to.Optional
CUSTOM_API_URLEndpoint or connection string the server talks to.Yes
CUSTOM_API_KEYCredential the server authenticates with.Yes

Example prompts to try

  • Use Zen to OpenRouter.
  • Use Zen to Gemini.
  • Use Zen to OpenAI.

Frequently asked questions

It connects Zen to MCP-compatible AI assistants such as Claude and Cursor, exposing 9 tools (OpenRouter, Gemini, OpenAI, and more) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with Zen directly.