Appy Pie Automate Unveils MCP Servers for Smarter Automation

New Delhi, 4th June 2025– Appy Pie Automate, a global leader in no-code workflow automation, has officially launched its MCP Servers, introducing a new standard for intelligent, context-aware automation. Powered by the proprietary Model Context Protocol (MCP), these servers enable AI agents to not only execute workflows but to retain memory, understand user goals, and adapt in real-time.

This milestone marks a significant leap forward for users who want their automation to go beyond static rules and into proactive, decision-making intelligence. MCP Servers serve as the infrastructure behind agents that remember, reason, and personalize actions based on historical context and evolving conditions.

“With MCP Servers, we’re not just automating workflows—we’re giving users intelligent companions that can think, adapt, and evolve,” said Abhinav Girdhar, Founder and CEO of Appy Pie. “It’s the missing brain behind traditional automation.”

Now Integrating Seamlessly With Cursor, Windsurf, Claude & More

Developers and enterprises can now plug MCP into tools and environments they already love:

Cursor: Add long-term memory and adaptive reasoning to your coding agents.
Windsurf: Create knowledge-aware agents with persistent organizational memory.
Claude: Enable Claude-powered assistants to recall user context and continue long-form workflows.
Custom IDEs & LLMs: Bring context retention to your own AI stack with MCP’s modular APIs.

COMING SOON: Talk to Your Apps with MCP Chat Agents

Appy Pie is also preparing to launch MCP Chat Agents, a revolutionary upgrade that allows users to converse directly with their favorite applications — all powered by the MCP Server backbone.

Imagine chatting with your NetSuite account and asking:

“What are the pending invoices in the last 30 days?”

Or telling your Salesforce agent:

“Update the status of all leads from ‘Contacted’ to ‘Qualified’ if the last call was over a week ago.”

This conversational layer turns enterprise tools into interactive AI assistants that not only understand natural language but also retain business context and deliver meaningful actions in real-time.

“This is where automation becomes truly human-centric,” said Girdhar. “You won’t need to click through dashboards. You’ll just ask—and your system will understand.”

Core Features of MCP Servers