Acuvity’s Secure MCP Server Tackles the AI Integration Security Crisis—Head-On

As AI agents rapidly become the connective tissue between large language models and the real world, the infrastructure enabling those connections—like the Model Context Protocol (MCP)—is being adopted at breakneck speed. But as with any ungoverned expansion, danger follows.

Enter Acuvity, a security startup with a laser focus on protecting the MCP layer that now powers much of the agentic AI boom. Today, the company is releasing a hardened, open-source Secure MCP Server designed to close the gaping holes in how AI agents interact with tools, APIs, and sensitive systems.

“MCP is a powerful enabler of AI-native applications, but it was never designed with security in mind,” said Satyam Sinha, CEO and founder at Acuvity. “We’re making our Secure MCP Server open source to give developers and teams a safe, scalable starting point for building with this protocol.”

The Emerging Risk Layer No One’s Watching

MCP, by design, allows AI agents to perform tasks by calling external tools and APIs—everything from querying databases to triggering DevOps pipelines. But this flexibility also means that a single insecure endpoint or poorly configured server can become a beachhead for attackers. Few MCP implementations separate control and data flows. Most run without authentication. Many are invisible to traditional security tools.

Acuvity’s bet? That securing the AI stack starts with securing MCP—and it has the tooling to back it up.

Hardened by Default, Not by Afterthought

At the core of Acuvity’s release is a curated repository of over 100 popular MCP servers, each containerized with hardened defaults: sandboxed environments, non-root user enforcement, immutable filesystems, CVE scanning with Docker Scout, and strict version pinning. The containers ship production-ready for Kubernetes and Docker, with native support for OpenTelemetry for full-stack observability.

“As more engineers use MCP to connect models with tools and APIs, we want to make sure they can do so without introducing unnecessary risk,” Sinha explained.

That risk includes attacks like Cross-Server Tool Shadowing (where one tool impersonates another), Secrets Leakage via poorly sandboxed agents, and Tool Poisoning that injects malicious behaviors into workflows. Acuvity's architecture actively mitigates these scenarios—while inviting the open source community to contribute more.

Minibridge: Runtime Defense Without Friction

Sitting in the middle of every agent-to-server interaction is Minibridge, Acuvity’s lightweight runtime proxy that patches over critical protocol blind spots. It separates control and data planes, enforces TLS, handles fine-grained AuthN/AuthZ, filters requests using Rego-based policies, and validates software provenance through SBOM checks.

In short, it’s the zero-trust mesh for your AI workflows—without making developers jump through hoops.

Developer-First, But Enterprise-Ready

Acuvity knows it won’t win if it slows teams down. That’s why it integrates cleanly with modern IDEs like VS Code, Claude Desktop, Windsurf, and Cursor, and offers one-command deployment via Helm or Docker. OAuth 2.1 (with PKCE) is supported out of the box via integration with Descope, solving one of the thorniest problems in securing MCP agents: how to grant tools access without overexposing them.

“Acuvity’s Secure MCP Server gives developers a practical foundation for working with the protocol in production environments,” Sinha noted. “It’s designed to help teams move faster while maintaining control over access, observability, and safety.”

A Secure Default for the Agentic Era

As AI-native applications transition from labs to production, the attack surface is shifting from the model to the middleware. Acuvity is making the case that you can’t secure agent workflows without securing the protocol they run on. Its Secure MCP Server is a bold first step in that direction—and it couldn’t come at a better time.

The AI future may be built on protocols like MCP. But if Acuvity has anything to say about it, that foundation won’t be built on sand.