What SQL dialects does this MCP support?

It supports over 15 dialects, including MySQL, PostgreSQL, MariaDB, SQLite, BigQuery, Snowflake, Hive, TransactSQL, and FlinkSQL.

Can this MCP prevent SQL injection?

Yes. By converting queries into an AST, your agent can inspect the actual structure of the command to find unauthorized operations that text-based scanning might miss.

Does this capability execute the SQL queries?

No. This MCP only parses the SQL into an AST for inspection. It does not run the queries against your database.

How is this different from an AI just reading the SQL?

Standard AI text analysis can be fooled by clever formatting or nested subqueries. This MCP uses a formal parser to create a mathematical representation of the query, ensuring accuracy.

Which AI clients can use this MCP?

You can use this with any MCP-compatible client, such as Claude, Cursor, Windsurf, or VS Code.

Can this detect SQL injection attempts?

Yes. Parse the query into AST and inspect the node types. If user input resulted in unexpected DROP, DELETE, UNION, or subquery nodes, the injection is exposed structurally. no regex guessing.

Which SQL dialects are supported?

15+: MySQL, PostgreSQL, MariaDB, SQLite, BigQuery, Snowflake, Hive, TransactSQL, FLINKSQL, FlinkSQL, PostgresQL, and more.

Can I rebuild SQL from the AST?

Yes. Parse SQL→AST, modify the AST programmatically (add WHERE clauses, change table names), and rebuild valid SQL. Full round-trip support.

An astronaut overseeing a futuristic data hub

Download PDF Markdown Version

Connect SQL Parser AST Engine to ChatGPT, Claude and Gemini

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. Convert raw SQL into structured data for security and auditing.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

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 · 1 capability

We ship only the actions that matter.

Capability set01 / 01

01

1 capability in this set.

Part of 1 available through SQL Parser AST Engine.

01
Parse SQL
This capability converts SQL queries into a structured AST to extract tables, columns, and WHERE clauses. It supports 15+ dialects like MySQL, PostgreSQL, and Snowflake for security auditing or DevOps workflows.

Real work

What teams actually run

Security Firewalls

An agent intercepts incoming SQL to ensure no unauthorized tables are being targeted.

Automated Auditing

A workflow extracts all column names from a batch of queries for compliance reporting.

Syntax Validation

A DevOps agent checks a migration script against a specific dialect before it hits production.

Query Deconstruction

A developer uses the AST to programmatically analyze complex JOIN logic.

Automate a task

Put SQL Parser AST Engine to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

SQL Parser AST Engine 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 SQL Parser AST Engine 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

896ms average. Fast in production.

SQL Parser AST Engine is checked daily against the live service.

Daily averagePeak 1086ms

Oct 3Today

Fastest day: 742ms
Slowest day: 1086ms
14-day trend: Stable0%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 1 capability arrives 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 SQL Parser AST Engine, so you can see the experience inside your AI.

It does not authenticate your account with SQL Parser AST Engine. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

SQL Parser AST Engine Connector

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

Connector linkhttps://edge.vinkius.com/vk_preview_IaMB6VbtA33IOGoYDwunOjWljHqHTke8wZBDmmAY/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 — SQL Parser AST Engine capabilities are ready to use.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "sql-parser-ast-engine-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_IaMB6VbtA33IOGoYDwunOjWljHqHTke8wZBDmmAY/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 SQL Parser AST Engine in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work SQL Parser AST Engine owners hand off.

This MCP is built for technical teams who need to programmatically inspect SQL without executing it.

01
Security Engineers
They hand off user-submitted queries to the AI to check for malicious injection attempts.
02
DevOps Engineers
They use the capability to audit query performance and structure during deployment workflows.
03
Data Governance Officers
They use the AST output to verify which tables and columns are being accessed by automated agents.

FAQ

Questions SQL Parser AST Engine owners ask.

01
What SQL dialects does this MCP support?
It supports over 15 dialects, including MySQL, PostgreSQL, MariaDB, SQLite, BigQuery, Snowflake, Hive, TransactSQL, and FlinkSQL.
02
Can this MCP prevent SQL injection?
Yes. By converting queries into an AST, your agent can inspect the actual structure of the command to find unauthorized operations that text-based scanning might miss.
03
Does this capability execute the SQL queries?
No. This MCP only parses the SQL into an AST for inspection. It does not run the queries against your database.
04
How is this different from an AI just reading the SQL?
Standard AI text analysis can be fooled by clever formatting or nested subqueries. This MCP uses a formal parser to create a mathematical representation of the query, ensuring accuracy.
05
Which AI clients can use this MCP?
You can use this with any MCP-compatible client, such as Claude, Cursor, Windsurf, or VS Code.
06
Can this detect SQL injection attempts?
Yes. Parse the query into AST and inspect the node types. If user input resulted in unexpected DROP, DELETE, UNION, or subquery nodes, the injection is exposed structurally. no regex guessing.
07
Which SQL dialects are supported?
15+: MySQL, PostgreSQL, MariaDB, SQLite, BigQuery, Snowflake, Hive, TransactSQL, FLINKSQL, FlinkSQL, PostgresQL, and more.
08
Can I rebuild SQL from the AST?
Yes. Parse SQL→AST, modify the AST programmatically (add WHERE clauses, change table names), and rebuild valid SQL. Full round-trip support.

Explore

More in Developer Tools

Connect SQL Parser AST Engine 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

Parse SQL

What teams actually run

Security Firewalls

Automated Auditing

Syntax Validation

Query Deconstruction

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

SQL Parser AST Engine Connector

Claude Desktop

Security Engineers

DevOps Engineers

Data Governance Officers

What SQL dialects does this MCP support?

Can this MCP prevent SQL injection?

Does this capability execute the SQL queries?

How is this different from an AI just reading the SQL?

Which AI clients can use this MCP?

Can this detect SQL injection attempts?

Which SQL dialects are supported?

Can I rebuild SQL from the AST?

SQL Query Complexity Analyzer AI Connector

SQL Syntax Validator AI Connector

SQL Static Query Analyzer AI Connector

Aikido Security AI Connector

Suggestions

Security Audit Prover AI Connector

CodeRabbit AI Connector

Deterministic Math Expression Evaluator AI Connector

MyScale (SQL Vector Database API) AI Connector