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

Basic information

Category

Reasoning

Transports

stdio

Publisher

chernistry

Submitted by

chernistry

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.

Comments

More Reasoning MCP servers

Proplan Mcp

King-Proplan

MCP server that gives Claude persistent project memory — roadmap, session history, and codebase context. Type continue and Claude picks up exactly where you left off

5

quarkus-langchain4j-workshop

quarkusio

Quarkus LangChain4J Workshop that demonstrates both single AI service capabilities and Agentic AI orchestration

91

Task Planner MCP Server

CaptainCrouton89

An MCP (Model Context Protocol) server that helps AI assistants (like Claude) break down complex tasks into manageable steps, track progress, and manage a hierarchical task list.

13

IntelliNode Medical Use Cases

Barqawiz

Multi-Agent AI Orchestration Workshop

9

iFlytek Workflow MCP Server

iflytek

This a simple implementation of an MCP server using iFlytek. It enables calling iFlytek workflows through MCP tools.

28