Does this MCP execute the Python code?

No. It uses Abstract Syntax Tree (AST) traversal to inspect the code structure without actually running it.

What kind of vulnerabilities does it detect?

It identifies restricted modules like os, dangerous functions like eval, and potential infinite loops.

Which AI clients can use this MCP?

You can connect it to any MCP-compatible client, including Claude, Cursor, and Windsurf.

How do I see the results of a scan?

Your agent can use the summarize_security_report capability to turn technical findings into a readable summary.

Can I restrict specific Python modules?

Yes, the check_module_whitelist capability allows you to verify if a module is permitted in your context.

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.

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).

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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Connect Python Code Safety Linter to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Stop running untrusted code by catching vulnerabilities before execution.

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.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Python Code Safety Linter.

01
Analyze code safety
Performs a full security audit of a Python code string using AST traversal to find vulnerabilities.
02
Check module whitelist
Checks if a specific module is allowed based on your defined security context.
03
Summarize security report
Turns technical findings from a safety analysis into a clear, human-readable summary.

Real work

What teams actually run

AI Code Generation

Verify Python snippets generated by your AI client before you copy them into your IDE.

Automated Security Audits

Run a safety check on large blocks of code to find hidden vulnerabilities.

Environment Sandboxing

Use module whitelisting to ensure code only uses approved libraries.

Code Review Assistance

Let your agent summarize security risks to speed up manual peer reviews.

One connector, every AI

Python Code Safety Linter works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Python Code Safety Linter to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

817ms average. Fast in production.

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

Daily averagePeak 1305ms

Oct 3Today

Fastest day: 700ms
Slowest day: 1305ms
14-day trend: Improving-16%

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.

1In Claude Desktop, open Settings → Connectors.
2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
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

Guided setup for Claude? Set up Python Code Safety Linter in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Python Code Safety Linter owners hand off.

This MCP is built for developers and engineers who use AI agents to generate or refactor Python scripts.

01
DevOps Engineers
They use the MCP to vet scripts before they are deployed to production environments.
02
Python Developers
They hand off AI-generated snippets to the MCP to ensure code quality and safety.
03
Security Researchers
They use the AST analysis to quickly scan code for malicious patterns.

FAQ

Questions Python Code Safety Linter owners ask.

01
Does this MCP execute the Python code?
No. It uses Abstract Syntax Tree (AST) traversal to inspect the code structure without actually running it.
02
What kind of vulnerabilities does it detect?
It identifies restricted modules like os, dangerous functions like eval, and potential infinite loops.
03
Which AI clients can use this MCP?
You can connect it to any MCP-compatible client, including Claude, Cursor, and Windsurf.
04
How do I see the results of a scan?
Your agent can use the summarize_security_report capability to turn technical findings into a readable summary.
05
Can I restrict specific Python modules?
Yes, the check_module_whitelist capability allows you to verify if a module is permitted in your context.
06
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.
07
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).
08
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.

Explore

More in Security

Connect Python Code Safety Linter to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Analyze code safety

Check module whitelist

Summarize security report

What teams actually run

AI Code Generation

Automated Security Audits

Environment Sandboxing

Code Review Assistance

Building your own app? The connector is yours to use.

Python Code Safety Linter Connector

Claude Desktop

DevOps Engineers

Python Developers

Security Researchers

Does this MCP execute the Python code?

What kind of vulnerabilities does it detect?

Which AI clients can use this MCP?

How do I see the results of a scan?

Can I restrict specific Python modules?

How does the linter detect security risks?

What is the difference between the security tiers?

Can I use this to prevent infinite loops?

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