Squid AI Launches Enterprise-Grade MCP for Agentic Workflows

Leslie Lee|Sep 08, 2025
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Today we’re announcing the first enterprise-ready implementation of the Model Context Protocol (MCP). With Squid AI, organizations can connect their data and services via MCP and also create secure, cloud-based MCP servers and endpoints in minutes. No local installs. No brittle connectors.

From demos to deployment: Squid AI’s approach to MCP

Enterprises have asked us one question repeatedly: “Do you support MCP?”

MCP is an emerging open standard that gives AI agents a consistent way to connect with tools and services. Instead of building custom integrations for every system, MCP provides a single, portable format that works across different LLMs.

This is why MCP is gaining attention across the AI ecosystem. Since Anthropic’s initial announcement, developers have embraced it, but enterprise adoption has lagged due to security, governance, and scalability gaps. Most MCP servers available today are designed for local demos, not production workloads.

Squid AI makes MCP practical in real enterprise environments by providing capabilities designed for scale, security, and governance:

  • Rapid setup - deploy MCP servers in minutes, not days.
  • Firewall-friendly design - connect to MCPs behind firewalls and within private networks for internal use.
  • Built-in governance - authentication, permissions, and central auditing out of the box.
  • Compliance-ready - SOC 2 Type II and ISO 27001 certified for enterprise trust.
  • Enterprise security - custom header injection fully compatible with the MCP standard.
  • Scale & reliability - endpoints designed for production workloads.
  • Choice for teams - no-code MCP connectors via Squid AI Studio, or SDK access for developers.

Taken together, these features move MCP from a developer demo into a deployable enterprise standard.

What this means for you

With Squid AI, MCP moves from concept to reality for enterprises. Organizations can:

  • Safely expose their own services to AI agents with full governance.
  • Stand up MCP endpoints for CRM and ERP systems. Instead of building a custom Zendesk integration, deploy an MCP endpoint in minutes that works with any MCP-compatible agent.
  • Accelerate AI deployments on a standard that’s gaining traction across the industry.

And MCP isn’t the only way Squid AI connects: we also provide native APIs and direct connectors to major enterprise systems and databases. MCP adds a new, open-standard option for organizations that want portability across AI platforms.

Squid AI is also built to meet the requirements of highly regulated industries like financial services and healthcare, so you can deploy MCP endpoints with confidence in even the strictest environments.

Ready to put MCP to work?

MCP is becoming the standard interface between AI agents and business systems. Squid AI builds on that foundation, making it secure, governed, and production-ready for the enterprise.

Schedule a 15 minute demo to see how Squid AI can help you move faster with MCP.

The next wave of AI will be defined by agents that can work safely across business systems. Squid AI makes that possible today.