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 Google ADK?
Google ADK natively supports SQL Parser AST Engine as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 1 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
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Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with SQL Parser AST Engine
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Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
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Seamless integration with Google Cloud services means you can combine SQL Parser AST Engine tools with BigQuery, Vertex AI, and Cloud Functions
SQL Parser AST Engine in Google ADK
SQL Parser AST Engine and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect SQL Parser AST Engine to Google ADK 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 Google ADK
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 Google ADK 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 Google ADK
Every tool call from Google ADK 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 Google ADK connect to MCP servers?
Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.
Can ADK agents use multiple MCP servers?
Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.
Which Gemini models work best with MCP tools?
Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.
McpToolset not found
Update: pip install --upgrade google-adk
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