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Python Code Safety Linter

Python Code Safety Linter MCP Connector for Claude

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Validates Python code strings using AST analysis to prevent security vulnerabilities.

3 tools Official Updated Oct 1, 2026 Official Vinkius Partner
More Details Connect to Claude

This MCP server acts as a security gatekeeper for AI-generated Python code. By performing deterministic Abstract Syntax Tree (AST) traversal, it inspects code structure without execution to identify risks. It detects restricted modules like os or subprocess, flags dangerous functions such as eval or exec, and identifies potential infinite loops. Use analyze_code_safety to audit code, check_module_whitelist to verify module permissions, and summarize_security_report to get a human-readable risk assessment.

astsecuritypythonlintersafety

3 tools expose this connector's capabilities to your AI agent.

analyze_code_safety

Performs a complete security audit of a provided Python code string using AST traversal

check_module_whitelist

Verifies if a specific module name is permitted within a given security context

summarize_security_report

Generates a human-readable summary of the findings from a previous safety analysis

See how to talk to your AI agent using Python Code Safety Linter.

Is this Python code safe to run: 'import os; os.system("ls")'?

Unsafe: The code uses the restricted module `os` and a dangerous function call.

Check the safety of: 'print("Hello World")'

Safe: No violations detected.

Analyze this code for infinite loop risks: 'while True: print("looping")'

Unsafe: An infinite loop risk was detected in the `While` node.

The linter uses AST (Abstract Syntax Tree) traversal to inspect the code's structure. This allows it to identify restricted imports and dangerous function calls without actually running the code.

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