Version 2.1 Enterprise Ready

Transform AI Agents
With Orchestrated Intelligence

MCO Protocol delivers enterprise-grade reliability to AI agents through structured orchestration, persistent memory, and progressive revelation. Go from experimental to production-ready with confidence.

User User User

Used by 1500+ developers

MCO Workflow Engine

Configure once, run anywhere with managed state persistence and reliability

90%
Success Rate
8x
Faster Iteration
99.8%
Uptime
CORE FEATURES

Built for Reliable AI Orchestration

MCO Protocol ensures your AI agents execute with unparalleled reliability through a combination of structured syntax and progressive revelation.

Persistent Memory

Maintains core requirements throughout entire workflows to combat agent drift and hallucination.

Syntactic NLP

Blends structured syntax with natural language for more reliable agent guidance and execution.

Progressive Revelation

Introduces implementation details at the right moments to prevent agent overload and distraction.

Success Tracking

Explicitly evaluates progress against defined success criteria at every step of the workflow.

VISUAL WORKFLOW

Drag & Drop Orchestration Workflow

Interact with our MCO orchestration process. Drag nodes to reconfigure the workflow.

SNLP Config

Define workflow

MCP Server

Orchestration engine

AI Agent

GPT, AutoGPT, etc

Persistent Memory

Core requirements

Success Criteria

Quality control

Output

Reliable results

QUICK START

Get Started in Under 5 Minutes

Install the MCO Protocol and configure your first AI orchestration workflow in minutes.

~/projects/mco-setup
$ npm install -g @paradiselabs/mco-protocol
Installing MCO Protocol CLI...
$ mco init my-project

→ Initializing MCO configuration

→ Opening web configuration tool

✓ Success! Configuration created

$ cd my-project
$ mco serve

MCO Server v2.1.3

→ Loading SNLP files...

✓ Success! Loaded 4 configuration files

MCP server started on port 8080

Ready to accept agent connections

SERVER ACTIVE

Configuration Made Simple

SNLP File Structure

Define your AI workflow using four simple configuration files for different aspects of orchestration.

mco.core.snlp
Workflow definition
mco.sc.snlp
Success criteria
mco.features.snlp
Feature injection
mco.styles.snlp
Styling preferences

Agent Integration

Integrate with any MCP-enabled AI framework with just a few lines of configuration.

{
  "mcpServers": {
    "mco-orchestration": {
      "command": "mco-server",
      "args": ["--config-dir", "./my-project"]
    }
  }
}
ARCHITECTURE

Enterprise-Grade Orchestration

Designed for scalability, reliability, and seamless integration with any agentic framework.

SNLP Parser

Parses and interprets Syntactic Natural Language programming files for workflow definition.

Orchestration Engine

Manages workflow state, timelines, and progressive revelation logic.

MCP Tool Provider

Exposes orchestration tools through the Model Context Protocol interface.

Config Tool

Web-based visual interface for creating and managing SNLP configuration files.

Any MCP-Compatible Agent Framework

AutoGPT
CrewAI
BabyAGI
+ More

MCO Protocol integrates seamlessly with your existing agent framework through the MCP interface.

Start Orchestrating Smarter AI Agents

Join thousands of developers building more reliable AI systems with MCO Protocol. Free for individual developers, enterprise plans available.

Made with DeepSite LogoDeepSite - 🧬 Remix