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Use Python Code Safety Linter with your AI.

Connect your account once and let the AI you already use work with it, without building another integration. Validates Python code strings using AST analysis to prevent security vulnerabilities.

Included with plan

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Complete set · 3 capabilities

The complete Python Code Safety Linter capability set.

These are the exact actions your AI can choose when you ask it to work with Python Code Safety Linter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Python Code Safety Linter.

  1. 01

    Analyze code safety

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

  2. 02

    Check module whitelist

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

  3. 03

    Summarize security report

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

Observed, not estimated

863ms average. Fast in production.

Python Code Safety Linter is checked daily against the live service.

Daily averagePeak 1035ms
Aug 21Today
Fastest day
677ms
Slowest day
1035ms
14-day trend
Improving-10%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Python Code Safety Linter, so you can see the experience inside your AI.

It does not authenticate your account with Python Code Safety Linter. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Python Code Safety Linter Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_x1ckNcFBAQnapMBxq8ev6N59e1TC0dLuvgwnqp8a/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Python Code Safety Linter capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "python-code-safety-linter-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_x1ckNcFBAQnapMBxq8ev6N59e1TC0dLuvgwnqp8a/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

FAQ

Questions Python Code Safety Linter owners ask.

  • 01

    How does the linter detect security risks?

    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.

  • 02

    What is the difference between the security tiers?

    The server supports different strictness levels: Strict Tier (no restricted modules or dangerous functions), Standard Tier (allows limited filesystem access), and Development Tier (for internal testing).

  • 03

    Can I use this to prevent infinite loops?

    Yes, the analyze_code_safety capability inspects While nodes to detect loops that lack a logical exit condition, helping prevent Denial of Service risks.

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