Pylar

Introduction to Pylar

Pylar is a secure and scalable platform that connects AI agents to your data stack, enabling safe and controlled access to your databases, warehouses, and SaaS tools. By acting as an intermediary between your data infrastructure and AI agents, Pylar ensures that only the data you explicitly define can be accessed, while maintaining full observability across all AI deployments.

The product allows users to create governed views of their data, which are then used to build custom MCP (Machine-Context Protocol) tools. These tools can be published and connected to any agent builder, such as LangGraph, Zapier, or Claude Desktop, without requiring changes to the underlying data sources. Pylar also provides advanced analytics and monitoring capabilities to track tool performance, detect errors, and refine data access policies in real time.

Takeaways

• Securely connect AI agents to your data stack with fine-grained access control.
• Create SQL-based views to govern what data agents can access.
• Build and publish custom MCP tools for seamless integration with agent builders.
• Monitor and analyze agent activity with full observability and logging.
• Support multiple data sources and agent frameworks without complex integrations.

How Pylar Works

Pylar operates by first connecting to your data sources—such as Snowflake, PostgreSQL, BigQuery, and more. From there, users define SQL views that specify exactly what data should be accessible to AI agents. These views act as a secure abstraction layer, preventing direct database access and ensuring sensitive information remains protected.

Once views are created, users can generate MCP tools using either natural language prompts or manual configuration. These tools are then published through a single URL and token, allowing them to be integrated with any agent builder. Any updates to the tools or views are automatically reflected across all connected systems, eliminating the need for repeated deployments.

Core Benefits and Applications