# SQL Syntax & Injection Checker MCP for AI Agents AI Agent Connect

> SQL Syntax & Injection Checker MCP provides a specialized engine for static analysis of SQL query strings. It catches syntax errors like unbalanced parentheses and detects dangerous SQL injection patterns such as 'OR 1=1' or 'UNION SELECT' before you run them against a database.

## Overview
- **Category:** security
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_EkIj8LPwtiIt6qXv88kTFSCVQUl8TvNB4sDkhosC/ai-agent-connect
- **Tags:** sql, security, validation, injection-prevention, static-analysis

## Description

Writing SQL queries can be a minefield. One misplaced parenthesis or a single malicious string can break a production database or, even worse, expose sensitive user data to an attacker. This MCP acts as a safety net for your database interactions. Instead of manually checking every query for syntax errors or scanning for common injection patterns, you can hand your strings over to your AI client for an instant audit. It looks for structural mistakes in SELECT, INSERT, UPDATE, and DELETE statements and calculates a specific risk score based on known attack patterns. By connecting this to your workflow through the Vinkius catalog, you add a layer of automated security testing that happens in the same conversation where you write your code. It's about catching the small, expensive mistakes before they ever reach your database engine.

## Tools

### sql_syntax_validator
Performs static analysis on a SQL query string to find syntax errors and injection risks. It returns a risk score and identifies specific error locations.

## Prompt Examples

**Prompt:** 
```
Is this query safe: SELECT * FROM users WHERE id = 1 OR 1=1
```

**Response:** 
```
No, this query is highly unsafe.

**Risk Assessment:**
* **Risk Score:** High
* **Detected Pattern:** `OR 1=1` (Classic SQL Injection)

**Reasoning:** This pattern is used to bypass authentication by making the `WHERE` clause always evaluate to true. You should use parameterized queries instead.
```

**Prompt:** 
```
Check this query for syntax errors: SELECT name, email FROM customers WHERE status = 'active'
```

**Response:** 
```
The query is structurally sound.

**Results:**
* **Syntax:** Valid
* **Injection Risk:** 0 (Safe)

Everything looks correct for a standard SELECT statement.
```

**Prompt:** 
```
Why is this query failing: INSERT INTO orders (id, total) VALUES (101, 50.00
```

**Response:** 
```
The query has a syntax error.

**Error Details:**
* **Issue:** Unbalanced parentheses
* **Location:** End of string

**Fix:** You are missing a closing parenthesis `)` at the end of the `VALUES` list.
```

## Capabilities

### Catch syntax errors
Finds misplaced keywords and unbalanced parentheses in your SQL statements.

### Detect injection risks
Identifies dangerous patterns like UNION SELECT or comment-based attacks.

### Score query safety
Provides a numerical risk assessment for every string you analyze.

### Locate error offsets
Points out exactly where a syntax error occurs within a long query.

### Validate statement order
Ensures keywords follow the correct logical sequence for standard SQL operations.

## Use Cases

### Preventing accidental data leaks
A developer writes a dynamic query that accidentally allows an 'OR 1=1' clause, and the agent flags the high injection risk immediately.

### Debugging broken migrations
An engineer has a complex UPDATE statement that keeps failing; the agent identifies the exact offset where a parenthesis is missing.

### Automated security linting
A security researcher uses the agent to scan a batch of legacy SQL scripts for suspicious UNION SELECT patterns.

### Validating generated code
An AI agent generates a complex JOIN query, and the user uses this MCP to ensure the syntax is valid before execution.

## Benefits

- Stop runtime errors by catching syntax mistakes before they hit the database.
- Prevent data breaches by identifying common SQL injection patterns instantly.
- Get precise error locations to fix broken SELECT or UPDATE statements faster.
- Reduce manual code review time by automating the first pass of SQL auditing.
- Gain confidence in dynamic query generation by checking risk scores automatically.

## How It Works

The bottom line is you get an immediate security and syntax audit for any SQL string you write.

1. Paste your SQL query into your AI client's chat interface.
2. The agent runs the query through the static analysis engine.
3. You receive a report detailing syntax validity and a specific injection risk score.

## Frequently Asked Questions

**How can I use SQL Syntax & Injection Checker to secure my code?**
You can use it to audit any SQL string before it is executed. By running your queries through this MCP, you can identify dangerous patterns like 'UNION SELECT' that attackers use to steal data.

**Does SQL Syntax & Injection Checker check my actual database?**
No, it performs static analysis on the text of your query. It doesn't connect to your database or check if your tables and columns actually exist.

**Can this MCP find errors in my UPDATE and DELETE statements?**
Yes, it validates the syntax and security for SELECT, INSERT, UPDATE, and DELETE statements, ensuring they are structurally correct.

**What is an injection risk score?**
It is a numerical value that indicates how likely a query is to be a malicious SQL injection attempt based on detected patterns.

**Will this help me find missing parentheses in long queries?**
Yes, it specifically checks for balanced parentheses and will tell you if the syntax is broken.

**What does this MCP server actually check?**
It performs static analysis to verify SQL syntax (like balanced parentheses) and scans for known injection patterns like 'UNION SELECT' or '--'.

**How can I use the `sql_syntax_validator` tool?**
Simply pass your SQL query string to the `query` parameter of the `sql_syntax_validator` tool, and it will return a risk score and any detected syntax errors.

**Does this tool prevent SQL injection in my production database?**
It is a static analysis tool designed to detect patterns during development. While it identifies high-risk queries, you should always use parameterized queries in your production environment.