Welcome to Pylar
Pylar is a secure data access layer for AI agents that enables interaction with structured data sources without requiring direct database access or complex API integrations.How It Works
- Data Sources connect to Pylar (Snowflake, BigQuery, PostgreSQL, HubSpot, Salesforce, and more)
- SQL View is created to govern exactly what data agents can access
- MCP Tools are built on the view—multiple tools for different use cases
- Tools publish to Agent Builders (Claude Desktop, Cursor, LangGraph, Zapier, Make, n8n, and more)
- Evals monitors all tool interactions for observability and optimization
- ✅ Single Control Pane: Update views and tools without redeploying agents
- ✅ No Raw Access: Agents only access data through your governed views
- ✅ Unified Interface: One MCP endpoint for all data sources
- ✅ Real-time Observability: Monitor all agent interactions with Evals
What is Pylar?
Learn how Pylar provides governed SQL views, AI-powered MCP tool creation, and seamless multi-database integration.
Quick Start
Get up and running in minutes. Connect your databases, create views, and deploy your first agent.
Why Pylar?
Discover the benefits: security, developer experience, operational excellence, and cost efficiency.
Examples
See 20 real-world agent examples for customer support, sales, marketing, product, finance, and operations.
Key Features
🔒 Governed SQL Views
Create SQL views that define exactly what data agents can access. Views are the only access level—agents never get raw database access.🤖 AI-Powered MCP Tool Creation
Describe what you want in natural language, and Pylar’s AI generates MCP tools for your agents. No manual coding required.🔗 Multi-Database Integration
Join data across multiple databases, warehouses, and business applications. Query Snowflake, BigQuery, PostgreSQL, HubSpot, Salesforce, and more—all in one place.📊 Built-in Observability
Monitor agent performance with the Evals dashboard. Track errors, query patterns, and optimize your tools based on real usage data.🚀 One Control Pane
Update views and tools without redeploying agents. Changes reflect immediately across all agent builders—Claude Desktop, Cursor, LangGraph, Zapier, and more.Getting Started
Step 1: Connect Your Data
Connect your databases and data sources to Pylar. Supported sources include:- Databases: BigQuery, Snowflake, PostgreSQL, MySQL, Redshift, MotherDuck, Supabase, and more
- Business Apps: HubSpot, Salesforce, Google Sheets, and more
Making Connections
Learn how to connect your data sources
Step 2: Create Views
Use Pylar’s SQL IDE to create governed views of your data. Join across multiple databases, filter sensitive data, and define exactly what agents can access.Creating Data Views
Learn how to create your first view
Step 3: Build MCP Tools
Create MCP tools using AI or manually. Each tool defines how agents interact with your views.Building MCP Tools
Learn how to create MCP tools
Step 4: Publish and Deploy
Publish your tools and get your MCP credentials. Connect to any agent builder—no API hassles, no redeployment.Publishing Tools
Learn how to publish and deploy your tools
Popular Use Cases
Customer Support
Build agents that access customer history, orders, and support tickets
Sales Analytics
Analyze pipeline, forecast revenue, and identify opportunities
Marketing Optimization
Optimize campaigns, analyze attribution, and measure ROI
Product Analytics
Track feature adoption, analyze usage patterns, and prioritize improvements
Financial Analysis
Analyze revenue, track expenses, and generate financial reports
Operations Monitoring
Monitor system health, track performance, and generate incident reports
Documentation Sections
📚 Learn
Comprehensive guides covering everything from connecting databases to monitoring with Evals:- Making Connections - Connect your data sources
- Creating Data Views - Build governed SQL views
- Building MCP Tools - Create tools for your agents
- Publishing Tools - Deploy to agent builders
- Connecting Agent Builders - Integrate with Claude, Cursor, LangGraph, and more
- Evals - Monitor and optimize agent performance
💡 Examples
20 real-world agent examples across different domains:- Customer Support & Success (4 examples)
- Sales & Revenue (4 examples)
- Marketing (4 examples)
- Product (3 examples)
- Finance (3 examples)
- Operations (2 examples)
Browse All Examples
See how others are using Pylar
❓ Help
Get answers to common questions and troubleshooting help:- FAQ - Frequently asked questions
- Troubleshooting - Common issues and solutions
Need Help?
- Support Email: [email protected]
- Get Started: Sign up for Pylar
- Website: pylar.ai
Ready to Get Started?
Quick Start Guide
Follow our step-by-step guide to build your first agent