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Run full-spectrum digital fingerprinting across protocols through one interface.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "fingerprint-mcp" yet — see the docs or source repo.
Run a full digital fingerprint analysis on target 203.0.113.10, combining TCP, TLS, HTTP, DNS, and related signals to identify likely services, middleware, and operating system traits, then rank results by confidence.
A multi-protocol fingerprint report listing likely service types, stack traits, and confidence scores.
Collect network and application-layer fingerprints for staging.example.com and prod.example.com, compare TLS settings, HTTP headers, DNS responses, and TCP traits, and highlight configuration differences and potential risks.
A diff analysis showing configuration gaps, anomalies, and security risk indicators between the two environments.
Run batch fingerprinting on a set of external asset domains, summarize protocol traits, service guesses, and unusual responses for each target, and use the results to build an exposure inventory.
An asset fingerprint summary table for reviewing exposed services and unusual characteristics.
Analyze disk images with AI through MCP for fast forensic investigation.
Expose Fing device and presence data to MCP clients over HTTP.
Analyze PCAPs offline to extract streams, detect threats, and find leaked credentials.
Analyze Android and iOS app packages for security issues via natural language.
Analyze AI security, scan vulnerabilities, and monitor code leaks efficiently.
Analyze MCP tool security risks, detect malicious behavior, and provide risk scores.