You have better things to build
Building MCP is a distraction
You're building an AI product, not an MCP server. But your agents need data access, and building the plumbing is eating into your roadmap.
Multiple databases, one agent
Your customers have data in Postgres, Snowflake, BigQuery. Supporting each one means more connectors, more edge cases, more maintenance.
Auth and access control
Every customer needs different permissions. API key management, rate limiting, audit logs — it's a full-time job you didn't sign up for.
Your agents generate different SQL every time
Non-deterministic queries are untestable and unauditable. When your customer asks why the AI returned wrong data, you can't debug what SQL ran.
Focus on your product, not the pipes
Instant MCP endpoints
Connect a database, define your tools, get a production MCP URL. Your agents discover and call tools automatically via the MCP protocol.
API keys for agents
Generate scoped API keys for each customer or agent. Full isolation, no shared credentials. Revoke access instantly.
Multi-database support
PostgreSQL, Snowflake, BigQuery, MySQL, Redshift — one MCP endpoint, all your data sources. Add new databases without changing your agent code.
Deterministic by design
Pre-defined SQL templates. Same tool call, same query. You can test tools in CI, audit every execution, and debug with confidence.