Securely connect your entire data stack to any agent
Pylar connects agents to your data stack, safely. Connect to any datasource, define exactly what an agent can see, turn those views into custom MCP tools, and publish them to any agent builder - with full observability across every AI deployment.
Pylar converts SQL views into MCP tools using natural language or manual configuration, then publishes them to any agent builder (Claude, Cursor, LangGraph, n8n, Zapier) via a single MCP URL. Teams report going from zero to production in 48 hours without API code.
Pylar creates governed SQL views that act as a secure layer between agents and databases. Agents query only predefined views, never raw tables, with credential isolation via cloud KMS and row-level security controls. This lets teams deploy agents to production with full data governance and audit trails.
Pylar's Evals dashboard provides success rates, latency metrics, cost per call, error tracking, and query fingerprinting. Teams can refine views and tools based on real agent behavior without redeploying, and audit logs track all data access for compliance.
Pylar acts as a central control point. Update a SQL view once and changes reflect automatically across all connected agent builders (Claude, Cursor, VS Code, LangGraph, n8n, Zapier). Governance policies travel with the data regardless of which framework teams use.
Pylar connects to 100+ data sources including Snowflake, BigQuery, Postgres, HubSpot, Stripe, and Zendesk. Users join data across warehouses in a single SQL view without data movement, giving agents unified customer context from multiple systems.