Intelligent Model Context Protocol (MCP) server for AI-assisted API development. Generate mock servers from OpenAPI specs with advanced logging, performance analytics, and server discovery. Optimized for AI development workflows with comprehensive testing insights and automated analysis.
Insufficient evidence to grade. This server's source has not been statically analyzed, so a low grade would only mean "nothing found", not "nothing there". We don't show a reassuring grade we can't stand behind. Attested signals (CVEs, provenance) below still apply.
Once the source is analyzed (see the analysis flag in the header), a graded score appears here. How analysis works: methodology.
graded 11m ago · see ecosystem CVEs →
No known CVEs for this server.
No tool-safety findings — heuristic detectors run on the compute-risk cadence; a finding appears when a tool trips a rule.
- abandonment+6 abandonment hub →
[](https://mcpobservatory.com/servers/github:MockLoop/mockloop-mcp/security) Heuristic, inferred signals — false positives (legitimately powerful tools, forks, language ports) are expected. Treat each as "review this", not a verdict. See the ecosystem-wide picture on the security hub, or the fleet security of MockLoop.