valv

Let agents query your database with confidence—no SQL required.

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Added Jul 2026

valv.sh

Ai Data AgentFreeai-data-agent

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What is Valv?

valv is an AI agent database interface that lets language models query databases safely without writing SQL. It rebuilds every query server-side against your schema, enforces row and column-level access policies, and supports Postgres, MySQL, SQLite, and ClickHouse. Built for developers who need to give agents database access while maintaining security and cost control.

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Key Features of Valv

Structured, validated queries without raw SQL
Server-side query rebuild and schema validation
Row and column-level access policies in TypeScript
Token-aware result capping
Support for Postgres, MySQL, SQLite, ClickHouse
Real analytics: filters, aggregates, time-series, top-N
Works with Vercel AI SDK or over MCP protocol
Deny-by-default policy enforcement

Who Should Use Valv?

Give agents database access for analytics queries

Power multi-tenant applications with per-caller scoping

Enable time-series and aggregation queries for agents

Secure agent database access without SQL exposure

Integrate with AI SDK workflows or MCP servers

Valv: Pros & Cons

✓Pros

Secure by construction—model never writes SQL
Per-caller policies automatically applied per request
Works with multiple database backends
Token-aware to prevent context flooding and budget overruns
Drop-in integration with existing AI stacks
Open source and free
Full analytics support beyond simple key lookups

Frequently Asked Questions about Valv

How does valv prevent SQL injection attacks?

The model never writes SQL. Every query is rebuilt and re-checked against your schema on the server, so malicious SQL commands are never executed.

Can different users see different data from the same query?

Yes. valv applies deny-by-default policies per caller, so the same question returns different results based on the current user's access level.

What databases does valv support?

valv works with Postgres, MySQL, SQLite, and ClickHouse.

How does valv prevent context overflow?

valv is token-aware and caps how much data comes back from queries, preventing wide-open queries from flooding the model's context or burning token budget.