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CanaryGuard MCP Tool Auditor
x402
CanaryGuard MCP Tool Auditor is a paid API for AI agents from canaryguard-402.onrender.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Inspects MCP tool definitions, JSON schemas, and server cards for hidden instructions, tool shadowing, and data exfiltration vectors
Price / call$0.01
Success—
StatusUnknown
How this service works
Inspects Model Context Protocol (MCP) tool definitions, JSON schemas, and server cards for hidden instructions, tool shadowing, and data exfiltration vectors.
Output
A structured security audit report highlighting detected hidden instructions, tool shadowing patterns, data exfiltration vectors, and overall risk assessment for the submitted MCP tool definition or server card.
Example use cases
Vetting third-party MCP tools before use
“I'm about to add an MCP tool called 'calendar-assistant' to my agent workflow — can you inspect its tool definition for hidden instructions or anything that looks like it's trying to shadow other tools or steal data before I trust it?”
Security review of MCP server card
“We received an MCP server card from a vendor called 'data-bridge' — can you run it through the MCP tool auditor to check for any embedded manipulation instructions or exfiltration vectors?”
Continuous MCP tool safety in agentic pipeline
“Before my agent calls the 'payment-processor' MCP tool, please audit its tool definition named 'payment-processor' and flag any signs of prompt injection, tool shadowing, or data theft attempts.”
Technical details
Endpoint
GEThttps://canaryguard-402.onrender.com/v1/mcp-tool-auditor?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to vet MCP tool definitions, JSON schemas, or server cards for adversarial manipulation before allowing an AI agent to interact with them. Particularly valuable in multi-agent pipelines where untrusted third-party MCP tools are being onboarded, or when defending against tool poisoning and prompt injection attacks embedded in tool metadata.
Side effects
- Missing required tool_name field returns validation error
- Malformed or empty body causes schema rejection
- Tool definition too large may cause timeout or truncation
- Service unavailability on Render cold start introduces latency
- Ambiguous or incomplete schema may yield incomplete audit results
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| tool_name | string |
Tags
x402
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