MCP.so
Sign In
B

Bernstein Multi Agent Orchestration

@chernistry

Repository

About Bernstein Multi Agent Orchestration

Orchestrates multiple AI coding agents declaratively to automate software development workflows for engineering teams.

#agent#ai-agents#mcp#mcp-server#coding-assistant#llm#claude#model-context-protocol#typescript

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "bernstein": {
      "command": "bernstein",
      "args": [
        "mcp"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Bernstein Multi Agent Orchestration?

Bernstein Multi Agent Orchestration is a control plane for orchestrating AI coding agents. It decomposes high-level development goals into smaller tasks, assigns them in parallel to multiple AI agents running in isolated worktrees, and verifies all outputs with a dedicated janitor agent — enabling reliable, thoroughly tested code without lock-in to a specific agent vendor.

How to use Bernstein Multi Agent Orchestration?

Define a development goal and optional agent configuration in a YAML file, then run Bernstein to orchestrate multiple AI agents (e.g., Claude Code, Codex CLI, Gemini CLI) across providers. The server handles task decomposition, parallel execution, and automated verification automatically.

Key features of Bernstein Multi Agent Orchestration

  • Declarative YAML orchestration for complex dev workflows
  • Parallel execution of multiple AI agents across providers
  • Automated output verification with a dedicated janitor agent
  • Vendor-agnostic and portable prompts and workflows
  • Continuous self-improvement through automated feedback loops

Use cases of Bernstein Multi Agent Orchestration

  • Automate complex dev workflows from a single goal description (new features, refactoring, API docs).
  • Embed AI-driven code generation and testing directly into CI/CD pipelines for zero-touch operations.
  • Continuously optimize agent coordination and outputs through feedback-driven refinement.

FAQ from Bernstein Multi Agent Orchestration

What is the janitor agent?

The janitor agent is a specialized agent that checks code correctness, runs tests, and prevents regressions after parallel agent execution.

Is Bernstein tied to a specific AI agent vendor?

No, Bernstein is vendor-agnostic and supports multiple providers including Claude Code, Codex CLI, and Gemini CLI. Prompts, workflows, and commands remain portable between them.

How does Bernstein ensure code quality?

Every agent output is automatically verified by the janitor agent, which runs tests (e.g., pytest, eslint) and ensures no regressions are introduced.

Can I define custom workflows in Bernstein?

Yes, you define complex dev tasks and workflows with simple declarative YAML configuration, specifying the goal and the agents to use.

Frequently asked questions

What is the janitor agent?

The janitor agent is a specialized agent that checks code correctness, runs tests, and prevents regressions after parallel agent execution.

Is Bernstein tied to a specific AI agent vendor?

No, Bernstein is vendor-agnostic and supports multiple providers including Claude Code, Codex CLI, and Gemini CLI. Prompts, workflows, and commands remain portable between them.

How does Bernstein ensure code quality?

Every agent output is automatically verified by the janitor agent, which runs tests (e.g., `pytest`, `eslint`) and ensures no regressions are introduced.

Can I define custom workflows in Bernstein?

Yes, you define complex dev tasks and workflows with simple declarative YAML configuration, specifying the goal and the agents to use.

Comments

Basic information

Category

Reasoning

Transports

stdio

Author

chernistry

Submitted by

chernistry

More Reasoning MCP servers

Code Reasoning MCP Server

mettamatt

A code reasoning MCP server, a fork of sequential-thinking

255

AWorld: Advancing Agentic AI

inclusionAI

Search, understand, reproduce, and improve an idea with ease

1.2K

Agenticstore — The Open Source Standard For Local Mcp Tooling

agenticstore

AgenticStore: The secure toolkit for AI agents. Instantly equip Claude Desktop, Cursor, and Windsurf with 27+ MCP tools, persistent memory, and SearXNG search, all protected by a built-in PII prompt firewall to protect your data from being exposed to AI agents.

4

MCP Sandbox

danstarns

Turn any JavaScript module into a sandboxed MCP (Model Context Protocol) server with automatic reflection and type inference.

5

NeoCoder: Neo4j-Guided AI Coding Workflow

angrysky56

An MCP server allowing AI assistants to use a Neo4j knowledge graph as their primary, dynamic instruction manual and long term project memory with adaptive templating and autonomous tool development tools.

20