Q: MCP and Code Development
Hi Team,
I’m exploring Agentic Flow for building a multi-agent setup that can help me develop code collaboratively using MCP (Multi-Agent Collaboration Protocol).
Here’s what I’m trying to achieve:
1. Set up multiple agents to handle tasks like architecture planning, backend coding, frontend UI, and QA/testing.
Can Agentic Flow currently support a multi-agent flow like this with memory + communication between agents?
2. Ideally, have these agents communicate, iterate, and refine the code (similar to CrewAI or AutoGen setups).
Is there a template or guide I can use to start setting this up?
3. Deploy the generated code to GitHub or a sandboxed environment for testing or staging.
Can the agents access external tools like Replit or GitHub APIs for pushing code or testing outputs?
Looking forward to your response.
SeanP_AgenticFlowAI
Jun 17, 2025A: Hey Sup9!
That's an ambitious and exciting use case for collaborative code development! Here's how AgenticFlow can address this, keeping in mind our current capabilities and what the Multi-Agent System (MAS) Add-On will unlock:
1. Multi-Agent for Code Dev (Architecture, Backend, Frontend, QA):
Yes, this is the core idea behind our MAS Add-On (for Tier 3/4, pre-order: https://agenticflow.ai/mas-pre-order). You'd set up a "Lead Dev/Manager Agent" to break down the project and delegate tasks (architecture, backend, frontend, QA) to specialized sub-agents.
Memory & Communication: The MAS is designed for agents to share context (memory) and have defined handoffs. Sub-agents complete their part, and the Manager integrates it or routes it for further refinement.
2. Iterative Code Refinement (like CrewAI/AutoGen):
Yes, within the MAS framework. For example, the Backend Agent produces code, the QA Agent tests it and provides feedback, and this feedback can loop back to the Backend Agent for revisions. This iterative process is a key design goal for our MAS.
Templates/Guides: While we don't have a specific "Full Software Dev Team" MAS template yet (the MAS feature itself is targeted for Q3 2025 go-live), the "Founding Partner" version of the MAS Add-On (for T4) will include exclusive, advanced workflow templates that will serve as excellent starting points for such complex orchestrations. We'll also be producing guides closer to the MAS launch.
3. Deploying Code (GitHub/Sandboxed Env via Replit/GitHub APIs):
Yes, via MCPs or API Call nodes.
GitHub MCP: We have a GitHub MCP (https://agenticflow.ai/mcp/github) which can be used by an agent to create repositories, push code, manage branches, etc.
Replit/Other Sandboxes: If Replit or your preferred sandboxed environment has a REST API for deploying or running code, an agent can use our API Call node to interact with it.
A "Deployment Agent" sub-agent within your MAS could be responsible for taking the finalized code from other agents and pushing it to GitHub or triggering a build/test in your sandbox.
In Short:
Your vision for a collaborative, multi-agent code development pipeline is precisely what our upcoming Multi-Agent System Add-On is designed to enable. You can define specialized agents for each role, and the Manager agent will orchestrate their communication, iteration, and deployment tasks using tools like GitHub MCP or direct API calls.
Start by pre-ordering the MAS Add-On if you're on T3/T4, and keep an eye on our roadmap and announcements for more specific templates and guides as we approach the Q3 launch!
— Sean