Vercel AI SDKSDK

SQL Parser AST Engine MCP Server

Bring Sql Parsing
to Vercel AI SDK

Name: SQL Parser AST Engine MCP Server
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

Learn how to connect SQL Parser AST Engine to Vercel AI SDK and start using 1 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

GDPR Free for Subscribers

Parse Sql

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What is the SQL Parser AST Engine MCP Server?

A security agent receives a SQL query from user input. Is it safe? Does it access unauthorized tables? Is there a DROP TABLE hiding inside a subquery? An AI scanning the text will miss edge cases that a real parser catches.

This MCP parses SQL into a complete Abstract Syntax Tree — every table, column, JOIN, WHERE clause, subquery, and function call becomes a structured, inspectable object. Then it can rebuild valid SQL from the AST.

The Superpowers

SQL Injection Detection: Decompose any query to inspect for unauthorized operations, table access, and injection patterns.
15+ Dialects: MySQL, PostgreSQL, MariaDB, SQLite, BigQuery, Snowflake, Hive, TransactSQL, and more.
Bidirectional: Parse SQL→AST and rebuild AST→SQL with full fidelity.
Table & Column Extraction: List every table and column referenced in a query — essential for data governance.

Built-in capabilities (1)

parse_sql

This is essential for security agents checking for SQL injection, DevOps agents auditing query performance, or any workflow that needs to understand SQL without executing it. Supported dialects: MySQL, PostgreSQL, MariaDB, SQLite, BigQuery, Snowflake, Hive, FlinkSQL, Noql, TransactSQL. Parses SQL queries into an AST and extracts tables, columns, and WHERE clauses. Supports 15+ dialects (MySQL, PostgreSQL, BigQuery, Snowflake, etc.)

Why Vercel AI SDK?

The Vercel AI SDK gives every SQL Parser AST Engine tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 1 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
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Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same SQL Parser AST Engine integration everywhere
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Built-in streaming UI primitives let you display SQL Parser AST Engine tool results progressively in React, Svelte, or Vue components
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Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

See it in action

SQL Parser AST Engine in Vercel AI SDK

AI Agent→Vinkius

High Security·Kill Switch·Plug and Play

Why Vinkius

SQL Parser AST Engine and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect SQL Parser AST Engine to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready

<40msCold start

60%Token savings

	Raw MCP	Vinkius
Server catalog	Find and host yourself	4,000+ managed
Infrastructure	Self-hosted	Sandboxed V8 isolates
Credential handling	Plaintext in config	Vault + runtime injection
Data loss prevention	None	Configurable DLP policies
Kill switch	None	Global instant shutdown
Financial circuit breakers	None	Per-server limits + alerts
Audit trail	None	Ed25519 signed logs
SIEM log streaming	None	Splunk, Datadog, Webhook
Honeytokens	None	Canary alerts on leak
Custom domains	Not applicable	DNS challenge verified
GDPR compliance	Manual effort	Automated purge + export

Unlock for AI Agents View step-by-step setup guide for Vercel AI SDK →

Enterprise Security

Why teams choose Vinkius for SQL Parser AST Engine in Vercel AI SDK

The SQL Parser AST Engine MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 1 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Unlock for AI Agents View full SQL Parser AST Engine details →

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

The Vinkius Advantage

How Vinkius secures
SQL Parser AST Engine for Vercel AI SDK

Every tool call from Vercel AI SDK to the SQL Parser AST Engine MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start

Ed25519Signed audit chain

60%Token savings

FAQ

Frequently asked questions

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.

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.