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Scan codebases for LLM usage, AI frameworks, and exposed secrets.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ai-scanner-mcp" yet — see the docs or source repo.
Scan this codebase, identify any LLM-related usage and AI frameworks, and list the findings by file location.
A list of LLM usage and AI frameworks found in the codebase, with related files or locations.
Scan this repository for potentially exposed secrets or sensitive credentials, and report their locations and risk types.
Findings of suspicious secrets or credentials, including their locations and brief risk notes.
Based on the scan results, summarize LLM usage, AI framework presence, and potential secret exposure issues in this codebase.
A short summary for development or security review covering AI-related usage and risk areas.
Developers or researchers can use it to quickly detect whether an unfamiliar repository uses LLM features or AI frameworks. This helps them understand the system structure and AI-related dependencies faster.
Development or DevOps teams can scan a repository before release to check for exposed secrets or sensitive credentials. It is useful for catching basic security risks around AI-enabled codebases.
During internal audits or technical due diligence, teams can use it to locate LLM usage, AI frameworks, and possible secret leaks. This gives reviewers a clearer scope for follow-up manual inspection.
It is an MCP server for ai-scanner that lets AI agents scan codebases for LLM usage, AI frameworks, and exposed secrets. Its main purpose is to identify AI-related implementations and potential security risks.
Based on the provided description, it can scan a codebase for LLM usage, AI frameworks, and exposed secrets. For more detailed detection scope and rules, see the source repository.
The provided information does not include installation steps, runtime requirements, or configuration details. Please see the source repository for integration instructions.
Audit MCP configs for exposed access, secrets, models, and compliance AI-BOMs.
Scan codebases for secrets, SAST issues, vulnerable dependencies, and IaC risks.
Scan MCP server configs for injections, secrets, and dangerous commands.
Run comprehensive code and config security scans for AI coding assistants.
Access Codescan projects, metrics, and filtered issue data through AI.
Scan MCP servers and AI tools for risks with scoring and auto-protection.