Acuvity has launched its Open Source Secure MCP Server Protection, offering a robust and scalable security framework to support safe adoption of the Model Context Protocol (MCP), a fast-emerging standard for connecting large language models (LLMs) with tools, workflows, and data. Designed to address security gaps in MCP, Acuvity’s release includes hardened container builds, secure runtime communication, and deployment tooling for both cloud and on-premise environments. “MCP is a powerful enabler of AI-native applications, but it was never designed with security in mind,” said Satyam Sinha, CEO and founder of 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.”
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The server features sandboxed execution, TLS + Rego-based threat detection, CVE scanning, non-root containers, and built-in observability using OpenTelemetry. It also offers developer-friendly automation with support for Kubernetes, Docker, and integrations with IDEs like VS Code and Claude Desktop. By contributing this open source project, Acuvity aims to equip developers with the tools to mitigate risks such as tool poisoning, secrets leakage, and cross-server vulnerabilities, while promoting transparency and community collaboration for secure, enterprise-grade AI deployments.