Marcus Platform

The MCP server that enables any AI agent to build production software autonomously

Connect Your Agent View Source

Built for real software development

Bring Your Own Agent

Works with any MCP-compatible AI—Claude, GPT-4, Gemini, or custom models. Marcus provides the rails, you choose the AI.

# MCP tools your agent will use
register_agent(skills=["Python", "React"])
request_next_task()      # Pull when ready
report_progress(0.75)    # Track progress
report_blocker()         # Get unstuck

Pull-Based Architecture

No idle agents, no complex orchestration. Agents request tasks when ready. Marcus intelligently assigns based on skills and context.

# How agents work autonomously
while project.has_tasks():
    task = agent.request_next_task()
    result = agent.complete_task(task)
    agent.report_progress(result)

Learn From Production

Every task completion teaches Marcus. Discover patterns that work, avoid common failures, and continuously improve agent performance.

# Train agents on best practices
patterns = marcus.analyze_successes()
prompt = marcus.generate_prompt(
    role="backend",
    learned_patterns=patterns
)

Why Marcus works

Industry-Standard MCP

Built on Model Context Protocol—the emerging standard for AI agent communication. Your agents speak MCP? They work with Marcus. Future-proof your AI infrastructure.

MCP implementation →

Real Tasks, Real Learning

Not toy problems or demos. Marcus manages actual software projects. Every completed task improves future performance. Production-grade from day one.

How Marcus learns →