# Zen MCP

> Use this tool when you need to streamline AI-driven code analysis, debugging, and development workflows by enabling collaboration across multiple AI models. The Zen MCP orchestration server solves problems of context loss and subtask delegation, allowing for seamless interactions between models. It accepts inputs from various AI agents and outputs coordinated workflow results, making it ideal for complex software development tasks that require multi-model collaboration.

Canonical page: https://skillsregistry.net/skills/jray2123-zen-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/jray2123-zen-mcp-server

## Description

An orchestration server that enables AI agents to collaborate across multiple AI models for advanced code analysis, debugging, and development workflows. It maintains context persistence across sessions, allowing agents like Claude to delegate subtasks to other models like Gemini or O3 seamlessly.

## Trust

- **Trust score (0–1):** 0.15
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u8pmess9ox)
- **Repository:** <https://github.com/jray2123/zen-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "jray2123-zen-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jray2123-zen-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jray2123-zen-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt