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Run Prospector static analysis on Python code and get structured issue results.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "prospector-mcp" yet — see the docs or source repo.
Run Prospector static analysis on this Python file and list the results by severity, file location, rule code, and issue description: app/main.py
Structured static analysis results for the file, including severity, line and column location, rule code, and a brief description for each issue.
Run Prospector static analysis on the project directory src/, summarize all Python code issues, and output them sorted by severity.
A summary of issues across all Python files in the directory, useful for quickly identifying high-priority code quality problems.
Run Prospector on backend/ and turn the results into a fix checklist grouped by high, medium, and low severity, including file location, rule code, and suggested remediation order.
An actionable fix checklist that helps the team address static analysis findings in priority order.
Statically analyze Python code structure and dependencies without running the code.
Analyze MCP tool security risks, detect malicious behavior, and provide risk scores.
Run dev checks and get compact error summaries for faster debugging.
Scan MCP servers for runtime, static, config, dependency, and compliance risks.
Analyze, match, and transform code structures across multiple programming languages.
Scan code and infrastructure files for security vulnerabilities through MCP.