Pylar
Secure data access layer for AI agents that enables controlled interaction with databases and business applications through governed SQL views and MCP tools.
Product Overview
What is Pylar?
Pylar is a governed access platform that sits between AI agents and databases, providing fine-grained control over what data agents can access. Instead of granting agents direct database access, Pylar enables teams to create SQL views that define exact data permissions, automatically converting those views into MCP (Model Context Protocol) tools. This approach ensures agents only access sanctioned data through established workflows while maintaining full observability and audit trails. The platform supports connections to Snowflake, BigQuery, PostgreSQL, MySQL, HubSpot, Salesforce, and other data sources, with seamless integration into popular agent builders including Claude Desktop, Cursor, LangGraph, Zapier, Make, and n8n.
Key Features
Governed SQL Views
Define precisely what data agents can access through SQL views that implement row-level security, column masking, and sensitive data filtering without exposing raw database tables.
Natural Language Tool Generation
Describe your data access requirements in plain English and Pylar's system generates production-ready MCP tools automatically, eliminating manual coding and integration work.
Multi-Source Data Integration
Join and query data across multiple databases, data warehouses, and business applications in a single unified interface without complex ETL processes.
One-Click Publishing
Deploy tools to any agent builder through a single secure MCP endpoint and token, with automatic propagation of updates across all connected applications.
Real-Time Observability
Monitor all agent interactions through the Evals dashboard, track query patterns, identify errors, and optimize tools based on actual usage behavior.
Iterative Refinement Without Redeployment
Update views, adjust permissions, and refine tools directly on the platform with changes reflecting immediately across all agent builders without requiring redeployment.
Use Cases
- Sales Analytics & Pipeline Management : Enable sales teams and AI agents to analyze pipeline data, forecast revenue, and identify opportunities while keeping sensitive customer information protected.
- Marketing Campaign Optimization : Grant marketing AI agents controlled access to campaign performance data, attribution models, and customer behavior metrics for campaign optimization and ROI analysis.
- Product Analytics & Usage Insights : Track feature adoption, analyze user behavior patterns, and identify product improvements by providing AI agents with governed access to product usage telemetry.
- Financial Analysis & Reporting : Securely expose revenue, expense, and accounting data to AI agents for financial analysis, forecasting, and report generation while maintaining strict data governance.
- Operations Monitoring & Incident Management : Monitor system health, track performance metrics, and enable AI agents to generate incident reports with access limited to operational data only.
FAQs
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