PreFlight Checker — MCP Server Safety Audit is a paid API for AI agents from x402-api-catalog.onrender.com, paid per call via x402, $0.06/call, status unknown (last checked 2026-09-14).
Performs a live MCP handshake plus static analysis of every tool's name, description, and schema to detect tool-poisoning, prompt injection, and dangerous capability combinations, with optional GitHub supply-chain signal.
MCP server safety audit: completes a real initialize+tools/list handshake, then statically scans every tool's name/description/schema for hidden unicode (tool-poisoning), prompt-injection-style phrasing, and tools that quietly combine multiple high-privilege capabilities (network+filesystem+exec+credential access). If a GitHub repo is supplied, folds in a real software-supply-chain signal too.
Returns a safety score, a verdict (e.g. pass/warn/fail), and detailed findings including any detected hidden unicode characters, prompt-injection-style phrasing in tool names or descriptions, tools that combine multiple high-privilege capabilities (network, filesystem, exec, credential access), and optionally a GitHub supply-chain signal for the linked repository.
GEThttps://x402-api-catalog.onrender.com/api/mcp-auditUse this endpoint when you need to vet an MCP server before connecting an AI agent to it, especially when the server is third-party, open-source, or untrusted. It is the right choice over generic HTTP health checks because it performs a real MCP protocol handshake and specifically targets AI-agent attack vectors: tool poisoning, hidden unicode, prompt injection in schemas, and dangerous capability bundling. If you also have a GitHub repository for the MCP server, pass it to get a software supply-chain risk signal in the same call.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"url": "https://mcp.example.com/mcp",
"score": 90,
"verdict": "healthy: no red flags found",
"findings": [],
"tools_found": 3
}
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