MCP servers don't just expose APIs. They give AI agents direct access to tools that retrieve records, modify systems, trigger workflows, and execute operational tasks across your enterprise environment.
A single agent may interact with:
Google Docs to read and update documents
Salesforce to retrieve customer records
GitHub to create pull requests
Slack to send operational notifications
Databases to query internal data
Internal APIs to trigger business workflows
Each MCP server exposes specific tools agents invoke during execution, such as:
read_documentwrite_documentcreate_pull_requestsearch_accountsquery_databaseTraditional AI governance focuses on prompts and outputs. That doesn't help when the risk isn't what the model says, it's what the agent does through MCP tools.
Trussed governs MCP interactions at the execution layer, evaluating policy before every tool invocation, data request, workflow action, and system interaction.