valv
Connect your databases and let AI agents query them in natural language, within guardrails you define.
| What is it | Connect your databases and let AI agents query them in natural language, within guardrails you define. |
|---|---|
| Pricing | Free |
| Free tier | Yes |
| Platform | Web Application |
| API | Yes |
| Best for | Letting AI agents query production databases securely, Enforcing data access governance per role and row |
| Domain registered | 2026 |
Data updated July 23, 2026
What does valv do?
valv is a governed data layer that connects your databases to AI agents. Instead of giving agents direct access to raw data, you connect your database once and then define exactly which rows and roles each agent can query. Agents can ask questions in natural language, and valv translates those into database queries while enforcing your security rules. It's designed to make database access safe and controllable for AI workflows.
Setting up valv involves registering a remote MCP (Model Context Protocol) server at /mcp on the valv platform, which agents like Claude Code can authenticate via OAuth. Once connected, you scope each role to specific rows, so agents only see the data they need. This means you can give AI agents read access to your customer database, for example, without exposing sensitive columns or allowing writes. The platform handles authentication, query parsing, and guardrails automatically.
Developers and data teams building AI integrations will find valv most useful. If you're running AI agents that need to pull real-time data from your PostgreSQL, MySQL, or other databases, valv removes the headache of writing custom API endpoints and managing permissions manually. It's also a good fit for organizations that want to let non-technical colleagues query data through an AI chat interface without compromising security. The tool is straightforward: connect, scope, and let agents do the rest.
Key features
What makes it stand outWho is valv for?
Who benefits most from this toolTrust & presence
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