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Set AI agent budgets, enforce spend limits, and audit every decision.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.figuard/figuard-mcp" MCP server from askskill: Run: claude mcp add 'io-github-figuard-figuard-mcp' -- npx -y figuard-mcp
Configure pre-spend authorization for my AI agent: cap each call at $0.50 and the daily total at $20; block execution when thresholds are exceeded, record the reason, and suggest an audit log schema.
A set of budget rules, over-limit blocking logic, and an audit log design that tracks every decision.
I have three AI agents for research, coding, and deployment. Set role-based spending limits: auto-approve low-risk research actions, require human approval for coding actions above $5, and require approval for all paid external deployment actions. Explain the policy structure.
Role-based authorization policies, approval conditions, and execution rules suited for a multi-agent setup.
Create an audit plan for AI agent spending that records each tool call's budget, actual cost, approval result, triggered policy, and timeline, and list the key fields to inspect during incident reviews.
A structured audit plan for reviewing agent spend, investigating anomalies, and supporting compliance needs.
Enforce permissions, approvals, sanitization, and audit for AI agent MCP calls.
Manage agent credentials, spending, approvals, and audit trails safely.
Protect MCP-connected agents with PII redaction, rate limits, and policy enforcement.
Add authorization, delegation, provenance, and audit controls to AI agents.
Set hard token and spend caps for agent sessions with signed exhaustion alerts.
Provide signed, verifiable risk verdicts for every AI-driven payment action.