MCP Governance for AI Agents
MCP gives agents tools. SatGate gives teams the economic firewall around those tools: per-tool budgets, scoped capabilities, revocation, Evidence Packs, and policy before execution.
MCP Governance
The pillar guide for budget, identity, revocation, audit, and risk controls around MCP tool use.
Open resourceMCP Budget Enforcement
How to enforce session, workflow, tool, and per-call spend limits before expensive tools execute.
Open resourceMCP Cost Control
Turn MCP tool calls into priced, attributed, and governed economic events.
Open resourceMCP Tool Cost Policy Generator
Generate YAML and JSON policy for MCP tool budgets, risk actions, audit fields, and revocation.
Open resourcePrice every tool
Assign cost profiles to MCP tools so agents cannot treat expensive operations like free function calls.
Enforce before execution
Block over-budget or out-of-scope tool calls before they reach the upstream MCP server.
Audit every decision
Record agent, workflow, tool, policy, budget, and revocation evidence for every governed call.
MCP governance FAQ
What is MCP governance?
MCP governance is the control layer around Model Context Protocol tool calls: budgets, scoped authority, revocation, Evidence Packs, and risk actions before agents execute tools.
Why do MCP tools need budget enforcement?
Autonomous agents can call paid or risky tools repeatedly, delegate work, or loop. MCP budget enforcement stops over-budget tool calls in the request path instead of discovering spend after the fact.
How does SatGate control MCP spend?
SatGate can proxy MCP traffic and enforce per-tool prices, session caps, workflow budgets, capability caveats, revocation, and audit requirements before tool calls reach the upstream MCP server.