MCP Support
Making the automations you build on ParsePilot usable by the intelligent agents that will run tomorrow's operations.
AI agents are quickly becoming a real way work gets done. The Model Context Protocol (MCP) is the emerging standard that lets those agents reliably discover, understand, and use tools and automations, the same way USB-C standardized how devices connect.
We're building MCP support so the production-grade automations you build on ParsePilot today can be discovered and composed by agents tomorrow, with the same monitoring, audit trails, and human-in-the-loop guardrails you already rely on.
What is MCP?
Model Context Protocol (MCP) is an open standard, originally from Anthropic, that gives AI agents a consistent, secure way to connect to external systems, data, and capabilities.
Instead of writing custom code for every tool, agents speak one standardized interface. They can discover what's available, understand what it does, and use it safely, with the right permissions and context. Think of it as the universal connector for the age of agents.
Why ParsePilot is adding MCP support
Every automation built on ParsePilot teaches us how real businesses operate: the tools your clients actually use, the edge cases that matter, and what "reliable" really means. That ground truth is exactly what agents need. By exposing those automations through MCP:
- Agents can discover and trigger the same workflows you build on ParsePilot.
- The same monitoring, audit trails, error recovery, and human-in-the-loop approvals still apply.
- Otto, your built-in automation engineer, drafts workflows you can review, deploy, and orchestrate — ready for agents to use through the same governed runtime.
The platform doesn't change. The production guardrails, monitoring, and isolation become the foundation and the safety net that both people and agents can rely on.
The automations stay the same; MCP just widens who can safely use them
Human teams & Otto
You build production-grade workflows with Otto or the visual builder, on integrations and guardrails we maintain.
MCP interface
One consistent, governed way to discover and trigger those same automations.
Agents
Intelligent agents use them too, under the same controls and approvals.
Human teams & Otto
You build production-grade workflows with Otto or the visual builder, on integrations and guardrails we maintain.
MCP interface
One consistent, governed way to discover and trigger those same automations.
Agents
Intelligent agents use them too, under the same controls and approvals.
What this means for you
Even if you're not using agents today, MCP support future-proofs your automations:
- Your workflows become composable building blocks that intelligent systems can use safely.
- You keep control and governance over what any agent is allowed to access.
- Human operators and agents work from the same reliable foundation.
It's a natural extension of how the platform already works, reliable by design, with guardrails built in.
Current status
We're actively planning MCP support as part of Otto and our broader automation platform. If you're exploring agentic workflows, or simply want your automations ready for the next generation of intelligent systems, let's talk about how ParsePilot can support that direction.
MCP, answered.
What MCP support means for your team, your automations, and your data.
Do I need to use agents to benefit from this?
No. MCP support is about future-proofing. The automations you build on ParsePilot work for your human team today; MCP simply makes the same workflows available to agents when you're ready for them, without rebuilding anything.
How does security work with MCP?
The same way it does across ParsePilot: role-based access, encrypted storage, audit logs, and human-in-the-loop approvals. Agents only get access to what you explicitly allow, and every action is monitored.
Is MCP support available today?
Not yet. We're actively planning it as part of Otto and our platform roadmap. If it's important to your plans, tell us. It helps us prioritize.
Will this change the automations I've already built?
No. MCP is an additional, standardized way to reach existing workflows. Your current automations keep running exactly as they do now.
What is Otto's role here?
Otto is ParsePilot's built-in automation engineer. Otto drafts executable workflows for you to review, refine, and deploy through the same governed runtime. It's the natural place for MCP-exposed workflows to be orchestrated for both people and agents.
Ready to build on ParsePilot?
Run every client's automations from one cockpit — built to be resold, with the integrations and production guardrails handled. Request early access and we'll onboard you when your cohort opens.