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🛡️ AgentGuard MCP

Security, Policy & Audit Layer for AI Agent Tool Execution — 20 tools | Part of FeedOracle & ToolOracle

ToolsStatusBackendTier

AgentGuard is the governance and security layer for AI agent workflows. Before any tool executes, AgentGuard evaluates policies, scores risk, detects secrets and injection attempts, logs to a tamper-evident audit trail, and explains every decision. Built for regulated environments, autonomous payments, and enterprise AI agent deployments.

Quick Connect

# FeedOracle (compliance-focused)
npx -y mcp-remote https://feedoracle.io/guard/mcp/
# ToolOracle (agent-commerce focused)
npx -y mcp-remote https://tooloracle.io/guard/mcp/
{
"mcpServers": {
"agentguard": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://feedoracle.io/guard/mcp/"]
}
}
}

How It Works — The Agent Security Loop

Agent wants to call: payment_execute({amount: 5000})
│
▼
policy_preflight() ← Check before execution
│
risk_score: 95 ← Critical
matched: pol-001, pol-002 ← Payment + High-risk policies
decision: require_approval ← Human gate triggered
│
approval_required() ← Register pending approval
│
[Human approves]
│
tool executes
│
audit_log_write() ← Record outcome with signature
│
decision_explain() ← Exportable compliance evidence

Tools — Welle 1: Core Security (7)

ToolDescription
policy_preflightPre-flight check before any tool call. Evaluates 7 policies, computes risk score, detects threats, auto-logs. Returns allowed/denied/require_approval/flagged.
tool_risk_score0-100 risk score for tool + input. Detects secrets (API keys, passwords), prompt injection, high-value amounts. eth_gas→5, payment_execute→95+.
approval_requiredCheck if tool needs human approval. Optionally registers a pending approval request with tracking URL.
audit_log_writeWrite tool execution to persistent, cryptographically-signed audit log (SQLite WAL). Call after execution to record outcome.
audit_log_queryQuery audit trail. Filter by agent, tool, decision, time range. Paginated. Returns signed entries for tamper verification.
decision_explainHuman-readable explanation of any allow/deny decision. Pass request_id for stored entry or tool_name + tool_args for fresh analysis.
rate_limit_checkCheck agent rate limits: 200/min, 5000/hr, 50000/day. Returns per-window usage with percentage.

Tools — Welle 2: Payment Controls & Safety

ToolDescription
payment_policy_checkValidate payment against policy: amount limits (>100k warns, >1M blocks), recipient denylist, supported currencies/networks, AML thresholds (>10k fiat flagged), MiCA flags.
spend_limit_checkCheck per-call/hour/day spend limits by trust level. Default: 10k/call, 50k/hr, 200k/day. Trusted: 100k/call, 500k/hr, 2M/day.
secret_exposure_checkDeep scan for 19 secret patterns: OpenAI/GitHub/AWS/Slack keys, Bearer/Basic auth, ETH private keys, Bitcoin WIF, credit cards, SSNs, emails. Returns severity + remediation.
payload_safety_check18-pattern safety scan: prompt injection, jailbreak/DAN, role hijacking, SQL (UNION/DROP/OR 1=1), XSS, Python/JS/Shell injection, path traversal, null bytes, oversized payloads.
replay_guard_checkDetect replay attacks via SHA256 fingerprint (agent+tool+args). Configurable window (default 5 min). Returns duplicate count + first/last seen.

Tools — Welle 3: Governance & Threat Intelligence (5)

ToolDescription
cross_tool_anomaly_checkDetect anomalous patterns: risky combos (wallet-recon→transfer, AML→payment), high frequency, repeated denials (policy probing), broad reconnaissance, elevated avg risk score.
scope_checkRole-based scope control. Roles: admin, compliance_officer, trader, auditor, developer, readonly. Returns has_scope, missing scope, granting roles. Logs denials.
session_validateFull session lifecycle: create (TTL + call budget), validate (increment counter), invalidate, info. Sessions carry role, scopes, tenant, expiry.
tenant_policy_checkMulti-tenant governance. Built-in tenants: default, fintech_eu (MiCA/DORA/AMLD6), defi_protocol, enterprise_read. Per-tenant blocklists, risk limits, spend caps.
threat_intel_checkEntity threat intelligence. Auto-detects ETH addresses, IPs, domains. Checks sanctions (Tornado Cash, mixers), disposable services, behavioral analysis from audit log.

Built-in Tenants

TenantMax RiskSpend/DayFrameworks
default70100,000
fintech_eu60500,000MiCA, DORA, AMLD6
defi_protocol8010,000,000MiCA
enterprise_read300

Built-in Roles & Scopes

RoleScopes
adminAll scopes
compliance_officeraudit:read, compliance:read, blockchain:read, security:scan
traderblockchain:read, payment:check, payment:execute, audit:read
auditoraudit:read, audit:write, compliance:read, monitor:read
developerblockchain:read, security:scan, audit:read, monitor:read
readonlyblockchain:read, audit:read

Built-in Policies (7 Default)

PolicyConditionAction
pol-001Payment/transfer toolsrequire_approval
pol-002Risk score ≥ 80require_approval
pol-003Secret/key in payloaddeny
pol-004Rate limit exceededflag
pol-005Risk score ≤ 20allow freely
pol-006Prompt injection detecteddeny
pol-007Same tool > 50 calls/60sflag

Risk Score Guide

ScoreLevelAction
0-14MinimalProceed freely
15-39LowProceed, log for audit
40-69MediumFlag and proceed with caution
70-89HighRequire human approval
90-100CriticalBlock execution

Use Cases

  • Regulated AI Workflows: MiCA/DORA compliance requires audit trails — AgentGuard provides them automatically
  • Autonomous Payments: x402 agent payments run through approval_required gate before execution
  • Multi-tenant Platforms: Rate limiting and policy scoping per agent/session
  • Security Monitoring: Real-time detection of prompt injection and secret exposure in tool arguments
  • Compliance Reporting: Export audit log with cryptographic signatures for regulatory review

Backend: SQLite WAL-Mode

Persistent, stable, no daemon required. WAL-mode supports 1000+ writes/second. Shared between feedoracle.io and tooloracle.io — one source of truth.

Links

  • 🛡️ FeedOracle: https://feedoracle.io/guard/mcp/
  • 🔧 ToolOracle: https://tooloracle.io/guard/mcp/
  • 📚 Docs: feedoracle.io
  • 🏠 Platform: tooloracle.io

Built by FeedOracle — Evidence by Design

About

AgentGuard v1.3 — Runtime Security & Governance Layer for AI Agents. 20 tools, 4 layers, agent state model.

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