Runtime policy governance for MCP tool servers. Every tool invocation is validated before execution — enforce permission scopes, prevent unauthorized data access, and generate compliance evidence for every action your MCP-enabled agent takes.
MCP standardizes how AI agents connect to external tools — file systems, databases, APIs, code execution environments. This is powerful. It is also a significant governance challenge: every MCP tool server your agent can reach is a potential action surface. Without policy enforcement at the MCP layer, agents can call any tool with any parameters they choose.
AgentTrust OS sits between your agent and its MCP tool servers as a policy enforcement proxy. Every tool invocation passes through Trust Runtime before it reaches the server — validated against your enforcement contract, scored for risk, and logged for audit.
Point your agent to the Trust Runtime MCP endpoint instead of the tool server directly. One config change — no agent code modifications.
Specify which MCP tools are pre-approved, which require parameter validation, and which need human review before execution.
Trust Runtime evaluates tool calls against your contracts — checking parameters, risk scoring the action, and enforcing approval gates.
Full trace per MCP tool call: which tool, what parameters, what outcome, what enforcement decision was applied.
Governance at the MCP protocol layer — works with any MCP-compatible tool server, any agent framework.
Every MCP invocation logged with parameters, outcomes, and enforcement decisions.
Tool call parameters validated against schemas before they reach the server — prevents injection via crafted parameters.
See exactly what tools your agent is calling, what data it's accessing, and where policy is being applied.
Start with the Developer plan or book a demo for Enterprise MCP governance at scale.
