Salt Security has announced Salt MCP Finder technology, a dedicated discovery engine for Model Context Protocol (MCP) servers, the fast-proliferating infrastructure powering agentic AI. MCP Finder provides an organisation with a complete, authoritative view of its MCP footprint at a moment when MCP servers are being deployed rapidly, often without IT or security awareness.
As enterprises accelerate the adoption of agentic AI, MCP servers have emerged as the universal API broker that lets AI agents take action by retrieving data, triggering tools, executing workflows, and interfacing with internal systems. But this new power comes with a new problem: MCP servers are being deployed everywhere, by anyone, with almost no guardrails. MCPs are widely used for prototyping, integrating agents with SaaS tools, supporting vendor projects, and enabling shadow agentic workflows in production.
This wave of adoption sits atop fractured internal API governance in most enterprises, compounding risk. Once deployed, MCP servers become easily accessible, enabling agents to connect and execute workflows with minimal oversight. This becomes a major source of operational exposure.
The result is a rapidly growing API fabric of AI-connected infrastructure that is largely invisible to central security teams. Organisations currently lack visibility regarding how many MCP servers are deployed across the enterprise, who owns or controls them, which APIs and data they expose, what actions agents can perform through them, and whether corporate security standards and basic controls (like authentication, authorisation, and logging) are properly implemented.
Recent industry observations show why this visibility crisis matters. One study showed that only ten months after the launch of the MCP, there were over 16,000 MCP servers deployed across Fortune 500 companies. Another showed that in a scan of 1,000 MCP servers, 33% had critical vulnerability and the average MCP server had more than 5. MCP is quickly becoming one of the largest sources of “Shadow AI” as organisations scale their agentic workloads.
According to Gartner® “Most tech providers remain unprepared for the surge in agent-driven API usage. Gartner predicts that by 2028, 80% of organisations will see AI agents consume the majority of their APIs, rather than human developers.”
Gartner further stated, “As agentic AI transforms enterprise systems, tech CEOs who understand and implement MCP would drive growth, ensure responsible deployment and secure a competitive edge in the evolving AI landscape. Ignoring MCP risks falling behind as composability and interoperability become critical differentiators. Tech CEOs must prioritize MCP to lead in the era of agentic AI. MCP is foundational for secure, efficient collaboration among autonomous agents, directly addressing trust, security, and cost challenges.”*
Salt’s MCP Finder technology solves the foundational challenge: you cannot monitor, secure, or govern AI agents until you know what attack surfaces exist. MCP servers are a key component of that surface.
Nick Rago, VP of Product Strategy at Salt Security, said: “You can’t secure what you can’t see. Every MCP server is a potential action point for an autonomous agent. Our MCP Finder technology gives CISOs the single source of truth they need to finally answer the most important question in agentic AI: What can my AI agents do inside my enterprise?”
Salt’s MCP Finder technology uniquely consolidates MCP discovery across three systems to build a unified, authoritative registry:
- External Discovery – Salt Surface
Identifies MCP servers exposed to the public internet, including misconfigured, abandoned, and unknown deployments. - Code Discovery – GitHub Connect
Using Salt’s recently announced GitHub Connect capability, MCP Finder inspects private repositories to uncover MCP-related APIs, definitions, shadow integrations, and blueprint files before they’re deployed. - Runtime Discovery – Agentic AI Behavior Mapping
Analyses real traffic from agents to observe which MCP servers are in use, what tools they invoke, and how data flows through them.
Together, these sources give organisations the single source of truth required to visualise risk, enforce posture governance, and apply AI safety policies that extend beyond the model into the actual action layer.
Salt’s MCP Finder technology is available immediately as a core capability within the Salt Illuminate platform.
*Source: Gartner Research, Protect Your Customers: Next-Level Agentic AI With Model Context Protocol, By Adrian Lee, Marissa Schmidt, November 2025.
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