How MCP Servers Can Expose Enterprise Secrets

MCP servers can expose enterprise secrets through plaintext configuration files, over-permissioned access and prompt injection, often before security teams even know the server is running. As more organizations adopt AI agents into their systems, that exposure can silently become a major gap in MCP server security.

The Model Context Protocol (MCP) allows AI agents to reach the tools and data, including internal documentation and cloud infrastructure, that form the foundation of enterprise systems. Behind that convenience, the MCP server connecting those tools and data to enterprise systems typically holds the keys to everything it touches: credentials, service account keys, API tokens and other secrets.

Every organization should now question what secrets they are handing to AI and how well those secrets are protected once they reach an MCP server.

What is Model Context Protocol (MCP)?

Model Context Protocol (MCP) is an open standard, originally introduced by Anthropic, that allows AI assistants to connect to external tools and data. Instead of being constrained to a model’s existing knowledge, an AI agent can use MCP to reach live systems, pulling a record from a database, opening a file or calling an API.

What makes this work is the MCP server: a small program that sits between the AI and the system it wants to use, exposing the specific actions the AI agent is allowed to perform. With the MCP server serving as the middleman, this is where the greatest risk lies because, to act on a system, an MCP server requires that system’s credentials.

Agents no longer just produce answers; they take action by retrieving sensitive data and deciding which tools to call using Non-Human Identities (NHIs) like API keys and