MCP Governance for Agents That Can Actually Spend Money
MCP makes tools easy for agents to use. SatGate makes them governable: budgets, access policy, revocation, audit trails, and spend attribution before tools execute.
MCP connects agents to tools. It does not govern the economics.
Model Context Protocol is becoming the common tool interface for agents. Cursor, Claude Desktop, Claude Code, OpenClaw, and other runtimes can connect to tools without every integration being custom-built.
That is powerful, but it creates a new control problem. An agent with tool access can trigger searches, database calls, code execution, paid APIs, browser sessions, cloud tasks, and expensive workflows. A tool connection is not the same thing as a policy boundary.
MCP governance means every tool call is identified, priced, checked, routed, and audited before it runs.
Without MCP governance
- Agents call tools without per-tool spend caps.
- Expensive tools look identical to cheap tools.
- Revocation requires changing configs or killing whole agents.
- Finance sees a bill, not the tool or workflow that caused it.
- Security gets logs after the risky call already executed.
What SatGate adds around MCP
SatGate acts as the economic control plane around MCP tool traffic, so agent access becomes measurable and enforceable without rewriting every tool.
Proxy MCP tool calls
Put SatGate between agents and MCP servers so tool traffic becomes visible, attributable, and enforceable.
Enforce per-tool budgets
Assign cost to expensive tools, cap spend per session or agent, and block calls before they run.
Scope agent capabilities
Issue constrained credentials for Cursor, Claude Desktop, Claude Code, OpenClaw, and other MCP-capable agents.
Revoke risky access
Kill or expire access immediately when an agent loops, delegates too broadly, or touches a sensitive tool.
Audit every decision
Record who called which tool, why it was allowed or denied, what it cost, and which policy applied.
Keep servers unchanged
Add governance around existing MCP servers without rewriting every tool implementation.
A practical MCP governance loop
Identify
Which agent, tenant, token, session, and tool?
Price
What does this tool call cost or risk?
Check
Does policy and budget allow it?
Execute
Forward only approved tool calls.
Audit
Record decision, spend, and outcome.
Use cases
Cursor MCP proxy
Give coding agents budgeted tool access without handing them unlimited API authority.
Claude Desktop governance
Let desktop agents call tools while preserving per-agent policy and auditability.
Claude Code tool spend
Cap expensive build, search, browser, or cloud actions during coding sessions.
OpenClaw autonomous workflows
Govern proactive agent tasks, recurring jobs, and delegated sub-agents.
MCP budget policy example
agent: cursor-coder
mcp_server: github-tools
mode: control
budget:
session: 5.00 USD
per_tool_call: 0.25 USD
tools:
repo_search: allow
issue_create: allow
deploy_prod: deny
on_budget_exhausted: block
audit:
include: [agent, tool, route, estimated_cost, decision]Make MCP tools safe enough for autonomous agents
Connect tools quickly with MCP. Govern them with SatGate. Observe every call, control spend and access, revoke risky capabilities, and charge when tools become products for external agents.