Developer Tools stdio

Zen

Created by BeehiveInnovations

Orchestrates multiple AI models to enhance Claude's capabilities for advanced code analysis, problem-solving, and collaborative software development.

How to Connect & Install

Select your client or environment below to copy the verified, ready-to-run installation configuration.

1-line autonomous agent setup instruction. Paste into Claude Code, Codex CLI, or Cursor Agent:
Fetch and configure Model Context Protocol (MCP) server Zen from https://www.fastmcp.dev/server/zen

Agents automatically discover, install, and execute the server spec without manual token setup.

Connect via direct Stateless MCP v2 / Streamable HTTP endpoint or JSON-RPC:
https://github.com/BeehiveInnovations/zen-mcp-server

Stateless edge endpoint compliant with MCP 2024-11-05 and v2 draft protocol specs.

Includes server instructions and tool definitions for Claude:
claude mcp add zen -- npx -y zen-mcp-server

Run in terminal to register server in current project or pass --scope user for global availability.

Configures server instructions and tools for OpenAI Codex & ChatGPT Desktop:
[mcp_servers.zen] command = "npx" args = ["-y","zen-mcp-server"]

Applies to ChatGPT Desktop app, Codex CLI, and IDE extension across your Codex host.

Add to Cursor project settings (.cursor/mcp.json) or Cursor Settings > Features > MCP:
{ "mcpServers": { "zen": { "type": "stdio", "command": "npx", "args": [ "-y", "zen-mcp-server" ] } } }

Commit to version control to allow teammates to connect immediately.

Install as an autonomous Agent Skill using the standard skills CLI:
npx skills add https://github.com/BeehiveInnovations/zen-mcp-server

Standard agent skill installer compatible with Claude Code, Cursor, and agy harnesses.

Server Guidance & Instructions OpenAI & Claude Spec Compliant
Zen: Orchestrates multiple AI models to enhance Claude's capabilities for advanced code analysis, problem-solving, and collaborative software development. Key capabilities: Support for local AI models (Ollama, vLLM, LM Studio) for enhanced privacy and cost control.; True AI orchestration with cross-model conversation threading and context retention.; Smart file handling that automatically expands directories and manages token limits based on model capacity..

Codex and Claude read this instruction prompt during initialization to orchestrate cross-tool workflows and rate limits.

Top Core Functions
01 Focused distraction-free AI companion workflows
02 Structured problem-solving and thinking guidance
03 Autonomous task prioritization and context compression