Pylar

Pylar

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Pylar is a secure data access layer designed to connect AI agents with your organization's data stack. The platform enables AI agents to interact with structured data sources—including databases like Snowflake, BigQuery, and PostgreSQL, as well as business applications such as HubSpot, Salesforce, and various marketing and support tools—without requiring direct database access or complex custom API integrations.

The core functionality centers on governed data access through SQL views. Users define exactly what data AI agents can access by creating SQL views within Pylar's interface, ensuring agents only interact with authorized information through these controlled access points. This approach eliminates the need for raw database exposure while maintaining precise control over data governance and compliance requirements.

Pylar generates MCP (Model Context Protocol) tools based on these views, which can then be deployed across multiple agent builders and platforms. The platform supports integration with Claude Desktop, Cursor, LangGraph, Zapier, Make, n8n, and other agent-building environments. Users can either use Pylar's AI-powered tool generation—which creates MCP tools from natural language descriptions—or configure tools manually before publishing them across their entire agent ecosystem.

A central control pane allows organizations to manage all data access from a single dashboard. When SQL queries or tool configurations are updated in Pylar, changes automatically propagate to all connected agent builders without requiring code modifications or redeployments in individual agents. This unified approach reduces maintenance overhead and ensures consistency across multiple AI deployments.

Observability and monitoring are built into the platform through the Evals dashboard, which tracks how AI agents interact with your data. This provides visibility into query patterns, identifies errors, and enables performance optimization based on real usage data. Organizations gain a complete audit trail of all data access activities, supporting compliance and security requirements.

Pylar also offers managed business connectors that automate data ingestion and synchronization from various sources. The platform handles data ingestion, schema mapping, incremental syncs, data cleaning, and warehouse hosting, allowing organizations to connect CRM systems, marketing platforms, support tools, product analytics, financial systems, and collaboration applications without building custom data pipelines.

This description was generated by AI (artificial intelligence). AI can make mistakes. Check important info.


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.

Website: pylar.ai

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