MCP cost control is the next budget problem for AI agents
MCP moves agent cost beyond LLM tokens. Tool calls can trigger search, data, cloud, code, SaaS, or premium API spend. SatGate attaches economic policy to the tool call before it executes.
The control point is before the call
Autonomous agents can generate real costs through model calls, API requests, MCP tools, delegated sub-agents, retries, and background workflows. If the policy check happens after the request, the money is already spent.
SatGate enforces economic policy at the gateway boundary. Every important request can be evaluated against budget, scope, identity, revocation, route, tool, and audit rules before upstream access.
That is the difference between cost reporting and economic control.
What good policy includes
Price tools explicitly
Assign cost and risk to each MCP tool instead of treating tool calls as invisible agent behavior.
Enforce per-tool caps
Set call limits, spend caps, expensive-tool approval rules, and deny behavior before the MCP server runs.
Scope agent authority
Use capability tokens and revocable credentials so each agent can access only the MCP tools its task requires.
Audit tool economics
Attribute MCP spend by client, agent, tenant, server, tool, route, workflow, and policy decision.
SatGate controls
Use SatGate to move from Observe to Control: measure real agent economics first, then enforce the limits that matter.
Agent identity
Attribute requests to the tenant, agent, task, workflow, route, model, MCP tool, and delegated sub-agent.
Budget checks
Evaluate remaining spend, per-request ceilings, daily caps, tool caps, and route budgets before forwarding.
Scoped credentials
Use expiring capabilities instead of broad static keys so authority matches the job.
Revocation
Block the next request when a credential, workflow, route, budget, or agent should stop.
Audit trails
Record allow/deny decisions with policy, budget remaining, route, tool, estimated cost, and outcome.
Benchmark risk
Model loops, retry storms, fanout, detection delay, and avoided spend with benchmark-backed scenarios.
Make agent economics enforceable.
SatGate is the economic firewall for AI agents: observe every request, control spend before execution, and charge robot customers when paid API access should unlock.