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Authorize AI agent spending and credential use with budgets, vault, and audit.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Sanction" MCP server from askskill: Run: claude mcp add 'io-github-ericlovold-sanction' -- npx -y sanction-mcp
Developers or product teams can set budgets and approval rules before connecting AI agents to paid services, helping prevent overspending during task execution.
When AI agents need to access external systems, teams can use encrypted storage and authorization controls to define which credentials may be used and under what conditions.
Teams with strong security or compliance requirements can use audit records to review spending approvals and credential usage by agents for risk investigation and accountability.
It is used to authorize and control spending and credential usage before an AI agent acts. Known capabilities include budgets, an encrypted vault, and audit records.
The provided information only says it handles spending and credential authorization for AI agents, without installation, runtime, or key requirements. For exact prerequisites, see the source repository.
Based on the description, it offers more than encrypted secret storage: it also authorizes spending and credential use before agent actions and keeps audit logs. For other differences, see the source repository.
Add a universal kill switch and spend guard for spending AI agents.
Verify entities, screen sanctions, and score trust for safer AI agent decisions.
Protect AI agents with kernel-level security, signing, and portable audit trails.
Add spend caps, OS sandboxing, and signed receipts for coding agents.
Enable secure agent purchasing with approvals, virtual cards, receipts, and audit trails.
Let AI agents make payments within signed spending caps.