AI
AI
AI
Secure Model Context Protocol platform company MCPTotal today announced the launch of its flagship platform, one that’s designed to help businesses adopt and secure MCP servers.
MCP is an emerging open standard that defines how artificial intelligence models connect and interact with external systems, data sources and applications in a structured, secure way. The standard allows models to fetch, process and act on real-world data through standardized interfaces, similar to application programming interfaces, allowing for integration between AI and enterprise environments.
With MCP quickly becoming that standard interface for connecting AI models to enterprise systems, external data sources and third-party applications, new risks have emerged. MCPTotal argues that uncontrolled adoption has introduced major risks, including supply chain exposures, prompt injection vulnerabilities, rogue MCP servers, data exfiltration and authentication gaps. Thrown into the mix is that traditional security products and newer large language model security solutions cannot monitor MCP traffic, leaving enterprises exposed to new opportunities for bad actors.
MCPTotal addresses these issues with an end-to-end platform for organizations to safely adopt MCPs while also improving their usability. The company’s platform uses a hub-and-gateway architecture to provide centralized hosting, authentication and credential vaulting while acting as an AI-native firewall to monitor traffic and enforce policies in real time.
At launch, the platform offers hundreds of secure MCP servers in its vetted catalog, allowing enterprise users to select from a safe and secure range. The platform allows employees to connect their AI models to business-critical systems like Slack and Gmail, while security leaders get full visibility into usage and enforcement via guardrails to ensure security, privacy and compliance.
MCPTotal delivers four key capabilities designed to make MCP adoption secure and seamless, with the platform emphasizing enablement over restriction, allowing employees to immediately use MCP through a simple, intuitive interface.
On the security front, built-in policy enforcement and auditing keep security teams in control and the platform conducts automatic security reviews so that only vetted, trusted MCP servers are available for use, eliminating potential malicious risks.
The platform also provides visibility scans that detect MCP-related threats across the enterprise and operates consistently across desktop, browser and cloud environments, including self-hosted deployments, for complete coverage and confidence.
“Until now, there hasn’t been a solution that can help security teams actually lock down MCP servers at the rate that employees are connecting their AI and business applications via MCP,” said Chief Executive Gil Dabah. “With MCPTotal, we’re giving organizations the ability to securely host, monitor and sandbox servers so employees can safely use MCPs and connect them to any data source without manually handling API keys.”
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