Open Source – MCP Server Protection
Secure the Future of MCP with Acuvity
Enterprise-Grade Security for the Model Context Protocol (MCP)
The Model Context Protocol (MCP) is transforming how AI assistants interact with tools, data, and systems. But with great power comes serious risk. While MCP simplifies AI integration, it also introduces new and uncharted security vulnerabilities.
Acuvity provides a comprehensive security framework for MCP, enabling organizations to safely adopt and scale this protocol with built-in protection, runtime controls, and developer-friendly automation. Whether you’re building AI agents or deploying AI-native applications, Acuvity helps you harness the power of MCP—securely and efficiently.
Key Benefits
Secure Adoption of MCP Servers
MCP is a powerful enabler of AI-native workflows—but without a strong security foundation, it exposes organizations to critical risks. Acuvity’s end-to-end security architecture ensures MCP adoption is safe, scalable, and compliant from day one.
Extensive MCP Server Coverage
MCP connects to a wide array of external tools via open standards—many of which come with unknown security postures. Acuvity maintains a curated, secured repository of 100+ MCP servers, running in hardened containers with the ability to add more on demand.
Built for Developers & Automation
Deploying secure MCP servers shouldn’t be a chore. Acuvity supports automated deployment via Kubernetes, Docker, and popular IDEs such as Visual Studio Code, Windsurf, Cursor, and Claude Desktop. Build fast, integrate seamlessly, and stay secure.
Key Features
Built-In Security by Default
Acuvity Secure MCP Servers come pre-hardened with the following security enhancements:
Isolated Execution – Prevent lateral movement via secure, containerized environments.
Non-root User Enforcement – Minimize risk with least-privilege defaults.
Immutable Runtime – Read-only file systems ensure tamper-proof operations.
Version Pinning & CVE Scanning – Continuous vulnerability monitoring via Docker Scout.
Protection Against – Backdoors, privilege escalation, container escapes, MITM attacks.
Runtime Protection with Minibridge
Minibridge is a lightweight, transparent proxy that secures the communication between AI agents and MCP servers by addressing core protocol limitations such as:
No separation between control and data planes
Lack of AuthN/AuthZ support
Insecure traffic routing
Minibridge provides:
TLS Support – Secure HTTPS communication
Authentication & Authorization – Fine-grained access control
Threat Detection – Rego-based policies for content filtering and risk analysis
SBOM Validation – Secure software provenance and deployment integrity
Production-Ready Deployments
Deploy MCP securely and reliably at scale with Acuvity’s streamlined toolchains:
Kubernetes-Ready – Quick-start Helm charts and best-practice defaults
OpenTelemetry Support – Full observability and tracing from agent to MCP call
Cloud Agnostic – Deploy in AWS, Azure, GCP, or on-prem within your own VPC

Seamless Integrations for Dev & Enterprise
Developer Ecosystem
Acuvity supports integrations with:
Popular IDEs – Visual Studio Code, Windsurf, Cursor, Claude Desktop
MCP SDKs – Built-in configurations for OpenAI Python SDK and more
Secure Auth Made Simple
OAuth 2.1 with PKCE is the recommended standard for MCP authentication—but implementation can be complex and error-prone. Acuvity integrates with Descope to enable seamless, compliant OAuth-based authorization for MCP clients and servers.
Start Building with Secure MCP Today
MCP is the future of AI-agent interoperability—and Acuvity ensures it’s a secure, scalable, and production-ready reality. Whether you’re an enterprise team, DevSecOps engineer, or AI developer, Acuvity gives you everything you need to adopt MCP with confidence.