MCP defined
Model Context Protocol (MCP) is the emerging standard for how AI agents communicate with external tools and services. When an agent needs to create a task in Asana, read emails from Gmail, or update a record in Salesforce, it connects to an MCP server that handles authentication and API translation.
The Security Gap
MCP servers handle real credentials, OAuth tokens, API keys, write access to production systems. Every MCP connection is an agent acting on behalf of your organization with real permissions. Yet most organizations have zero governance over which MCP servers their agents connect to.
As teams adopt new tools and integrations, new MCP server endpoints appear constantly. Agent framework configurations reference MCP servers by URL, and those URLs resolve network connections that nobody is monitoring.
How to Govern MCP Connections
Discovery: Monitor the connection layer to identify every MCP server endpoint your agents connect to. This happens automatically when agent traffic flows through a connection governance platform.
Approval workflow: Maintain an approved MCP server list. Hold connections to unapproved servers for review via the Greywall.
Per-environment policies: Allow broader MCP access in development while strictly scoping production agent connections.
Audit trail: Log every MCP connection with source agent, destination server, timestamp, and policy action.
Get Started
See how Securd implements MCP Server Governance at the connection layer.
Evaluate Agent DNS with your own agent traffic
Deploy on a single policy in learning mode and review the results with your security team.