# Python AST Syntax Checker MCP for AI Agents AI Agent Connect

> Python AST Syntax Checker lets your AI agent inspect Python source code for syntax errors and structural details without running the code. It identifies exact error locations and counts functions, classes, and imports to help your agent understand code structure and validity instantly.

## Overview
- **Category:** development
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_WQr4r4uo0nNebh23w1aeP0wGhs5JMurpKZTfUDWr/ai-agent-connect
- **Tags:** python, ast, syntax, linting, parser

## Description

When you're working with code, you often need to know if a snippet is actually valid before you try to execute it or integrate it into a larger project. This MCP gives your AI client a way to look under the hood of Python files using Abstract Syntax Trees. Instead of guessing if a block of code will crash, your agent can perform a deterministic check to find exact line and column numbers where syntax errors live. It doesn't just find mistakes, though. It also maps out the skeleton of a script by counting how many functions, classes, and imports are present. This makes it a reliable way to audit code structure or perform automated linting tasks. By connecting this to your preferred environment through Vinkius, you give your agent a precise set of eyes for Python code analysis that doesn't require the risk of running untrusted scripts.

## Tools

### check_python_syntax
Checks Python code for syntax errors and returns counts for functions, classes, and imports. It provides specific error locations to fix broken code.

## Prompt Examples

**Prompt:** 
```
Is this Python code valid? 'def add(a, b) return a + b'
```

**Response:** 
```
No, there is a syntax error. 

**Error Details:**
- **Type:** SyntaxError
- **Location:** Line 1, Column 18
- **Issue:** Missing colon after the function definition.

**Structure Summary:**
- Functions: 1
- Classes: 0
- Imports: 0
```

**Prompt:** 
```
How many functions and imports are in this file?
```

**Response:** 
```
The code contains the following structural elements:

| Element | Count |
| :--- | :--- |
| **Functions** | 4 |
| **Classes** | 1 |
| **Imports** | 3 |

Total definitions: 8
```

**Prompt:** 
```
Check this snippet for errors: 'import os
import sys
print(os.name)'
```

**Response:** 
```
The code is syntactically correct. 

**Structure Summary:**
- **Functions:** 0
- **Classes:** 0
- **Imports:** 2
```

## Capabilities

### Locate syntax errors
Find the exact line and column where Python syntax fails.

### Audit code structure
Count the number of functions, classes, and imports in a file.

### Analyze without execution
Inspect code logic and structure safely without actually running the script.

### Validate Python snippets
Confirm if a block of code is syntactically correct before use.

## Use Cases

### Debugging broken snippets
A developer pastes a messy block of code into their agent, and the agent immediately points out the missing colon on line 4.

### Automated code auditing
An agent scans a new repository to count how many classes and functions exist to estimate the project's scale.

### Safe code inspection
An agent analyzes a downloaded script to ensure it is syntactically sound before attempting to refactor it.

### Linter replacement
A developer uses their AI client to perform quick linting checks on small Python modules without opening a heavy IDE.

## Benefits

- Prevent runtime crashes by catching syntax errors before execution using check_python_syntax.
- Get precise error locations including line and column numbers for faster debugging.
- Map out code complexity by counting functions and classes automatically.
- Analyze untrusted code safely by using AST analysis instead of running the script.
- Speed up code reviews by letting your agent instantly audit import counts and definitions.

## How It Works

The bottom line is your agent gets a safe, precise way to verify Python code structure and catch errors before they cause runtime failures.

1. Connect your AI client to the MCP via the Vinkius catalog.
2. Provide a Python code snippet or file path to your agent.
3. Receive a detailed report on syntax validity and structural counts.

## Frequently Asked Questions

**How can I use Python AST Syntax Checker to find errors in my code?**
You can ask your AI agent to check your code snippets. It will return the exact line and column where any syntax errors are located, making it easy to fix them.

**Does this Python AST Syntax Checker run my code?**
No. It uses Abstract Syntax Tree analysis to inspect the structure of your code without ever executing it, which makes it completely safe for untrusted scripts.

**Can I use Python AST Syntax Checker to count functions in a file?**
Yes. When you check a piece of code, the tool also provides a count of all functions, classes, and import statements found in that snippet.

**Will this work with my existing AI client?**
Yes, as long as your client is MCP-compatible, like Claude, Cursor, or VS Code, you can connect this tool and start using it immediately.

**Is this tool useful for large Python projects?**
It is very useful for quickly auditing the structure of modules and verifying that new changes haven't introduced syntax errors into your codebase.

**Does this tool execute the Python code?**
No, the tool uses Abstract Syntax Tree (AST) logic to parse the code structure without ever running it.

**What information does `check_python_syntax` provide?**
It returns whether the code is valid, provides specific error details (line and column) if syntax errors are found, and counts imports, classes, and functions.

**Can I use this with Cursor or Claude Desktop?**
Yes, you can connect this MCP server to any compatible client like Cursor, VS Code, Claude Desktop, and Windsurf via Vinkius Edge.