Give AI agents safe access to structured data

A governed data access layer for AI agents. Define SQL views, publish MCP tools, control what agents can query—no raw database access.

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Secure Data Access for AI Agents

Define secure SQL views, build MCP tools with AI, and connect to any agent builder—all from one unified platform.

Views are the only access level. Agents query through your SQL views, never raw tables. Filter sensitive data, implement row-level security, join across databases.

Learn about views →
AI Background
AI Background
Views are the only access level. Agents query through your SQL views, never raw tables. Filter sensitive data, implement row-level security, join across databases.

Create MCP tools from views using natural language or manual config. Build multiple tools per view. Publish once, connect to any agent builder.

Explore MCP tools →
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AI Background
Create MCP tools from views using natural language or manual config. Build multiple tools per view. Publish once, connect to any agent builder.

Publish once, connect everywhere. Get one MCP server URL and token—use it to connect all your tools to any agent builder. Update tools in Pylar, changes reflect automatically everywhere.

Learn about publishing →
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AI Background
Publish once, connect everywhere. Get one MCP server URL and token—use it to connect all your tools to any agent builder. Update tools in Pylar, changes reflect automatically everywhere.

Track success rates, analyze errors, understand query patterns. Use Evals to refine views and tools without redeploying agents.

See how it works →
AI Background
AI Background
Track success rates, analyze errors, understand query patterns. Use Evals to refine views and tools without redeploying agents.

Interoperability

Structured data access for every team. Faster decisions, safer automations, shared ownership.

SQL Editor
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VIEWS
◆customer_analytics
◆support_errors
◆user_analytics
◆error_trends

One Source of Truth

Define data access once in SQL views. Teams work from the same governed models. Update a view, all agents get changes automatically.

VIEWS
◆customer_analytics
◆support_errors
◆user_analytics
MCP TOOLS
◆fetch_customer
◆list_contacts
◆get_analytics
◆fetch_errors

Build Tools Together

Data teams write SQL. Engineering teams connect agents. Collaborate in Pylar's SQL IDE to create and test MCP tools.

Publish
Published
AGENT BUILDERS
✓n8nConnected
✓ZapierConnected
✓LangGraphConnected
✓Claude DesktopConnected

Deploy Securely Anywhere

Publish to any agent builder with a single MCP link and token. No exposed credentials, no custom APIs, no redeployment. Full audit trails.

Datasources

Connect to multiple databases and warehouses simultaneously. Join data across different sources in a single query, giving you flexibility without complexity.

BigQuery

BigQuery

Enterprise data warehouse for fast analytics.

Redshift

Redshift

AWS cloud data warehouse optimized for scale.

Snowflake

Snowflake

Cloud-native data platform for unified analytics.

MotherDuck

MotherDuck

Serverless DuckDB-based analytics for small teams.

Supabase

Supabase

Open-source Postgres backend for modern apps.

MySQL

MySQL

The world's most popular open-source database.

PostgreSQL

PostgreSQL

Advanced open-source relational database system.

MS SQL Server

MS SQL Server

Microsoft's trusted relational data platform.

Agent Builders

Publish once, connect to any agent builder—code-driven like LangGraph, no-code like Zapier, or AI-native like Claude Desktop. All controlled from one unified platform.

OpenAI

OpenAI

Deploy MCP tools directly to GPT-4, GPT-4 Turbo, and custom assistants.

Claude

Claude

Connect your Pylar tools to Anthropic's Claude models via MCP.

Cursor

Cursor

AI-powered code editor with MCP support for seamless Pylar integration.

Windsurf

Windsurf

AI coding assistant that supports MCP tools for data access.

VS Code

VS Code

Connect Pylar tools to Visual Studio Code with MCP extension support.

LangGraph

LangGraph

Integrate Pylar views and tools into LangGraph workflows and agents.

n8n

n8n

Automate workflows with Pylar data connections in n8n pipelines.

Zapier

Zapier

Connect Pylar to thousands of apps through Zapier integrations.

Make

Make

Build powerful automations with Pylar data in Make workflows.

Agno

Agno

Deploy Pylar tools to Agno's agent platform for custom AI solutions.

Quick start

Learn how Pylar works: create data views, build MCP tools, and connect to agent builders.

Creating Data Views

SQL queries that define what data AI agents can access. Write SQL in Pylar's IDE, join across databases, and organize views in projects. Agents never get direct database access.

Core Concepts · Nov 1, 2025

Building MCP Tools

The interface between your data views and AI agents. Create tools from natural language prompts or configure manually. Test before publishing.

AI Tools · Nov 3, 2025

Connecting Agent Builders

Connect to any agent builder—LangGraph, Zapier, Claude Desktop, and more. Paste your MCP URL and token. Changes sync automatically.

Deploy · Nov 5, 2025

View all docs →

Security & Governance

Safe data access for AI agents

Credential Isolation

Credentials encrypted in Google Cloud Secret Manager. Agents never see credentials. Connect once, Pylar manages access.

View-Level Governance

Views are the only access level. Agents query through SQL views, never raw tables. Control columns, rows, and data exposure. Filter PII, implement row-level security.

Safe Query Abstraction

Agents call MCP tools with predefined SQL queries. No arbitrary SQL, no access outside views. Every query logged and auditable through Evals.

No Raw Database Access

Agents never have direct database access. They query through views you create, using tools you define. Complete isolation, full control.