Compatible with every major AI agent and IDE
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)
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 OpenAI Agents SDK?
The OpenAI Agents SDK auto-discovers all 1 tools from SQL Parser AST Engine through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries SQL Parser AST Engine, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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Native MCP integration via
MCPServerSse, pass the URL and the SDK auto-discovers all tools with full type safety - —
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
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Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
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First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
SQL Parser AST Engine in OpenAI Agents SDK
SQL Parser AST Engine and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect SQL Parser AST Engine to OpenAI Agents 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.
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 |
Why teams choose Vinkius for SQL Parser AST Engine in OpenAI Agents 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 OpenAI Agents 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.

* 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
How Vinkius secures
SQL Parser AST Engine for OpenAI Agents SDK
Every tool call from OpenAI Agents 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.
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 OpenAI Agents SDK connect to MCP?
Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
Can I use multiple MCP servers in one agent?
Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
Does the SDK support streaming responses?
Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.
MCPServerStreamableHttp not found
Ensure you have the latest version: pip install --upgrade openai-agents
Agent not calling tools
Make sure your prompt explicitly references the task the tools can help with.
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