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Analyze steganography offline and extract hidden data from media and files.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "steganography-mcp" yet — see the docs or source repo.
Run a comprehensive steganography analysis on this suspicious image, identify possible hiding methods, and attempt to extract any hidden content. Summarize findings with confidence levels.
An image steganography report with suspicious indicators, likely methods, extracted content, and conclusions.
Check whether this audio file contains steganographic content or anomalous encoded data, extract any hidden payload if possible, and explain the detection steps used.
An audio steganography analysis showing whether hidden data exists, any extracted payload, and the detection process.
Batch-check this set of file samples for steganography or embedded hidden data, summarize anomalies by file type, and flag samples that need further manual review.
A batch screening checklist with risk flags, anomaly summaries, and review recommendations for each file.
Analyze images with metadata extraction, favicon discovery, and placeholder generation.
Screen academic papers for AI-generated signals with section-based multi-layer analysis.
Process images, layers, cleanup, and screenshot-to-code for AI assistants.
Analyze Burp Suite exports offline to find vulnerabilities, secrets, and endpoint risks.
Analyze files and browser artifacts for malware and security investigations.
Provide reverse-engineering and deobfuscation tools for LLM agents.