Pylar
Build custom MCP tools on any datasource and ship them to any agent builder from one control plane—using only SQL and a secure link.
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Overview
> Build AI agents that interact with your data securely. Connect databases, create governed views, and deploy MCP tools to any agent builder. 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. 1. Data Sources connect to Pylar (Snowflake, BigQuery, PostgreSQL, HubSpot, Salesforce, and more) 2. SQL View is created to govern exactly what data agents can access 3. MCP Tools are built on the view—multiple tools for different use cases 4. Tools publish to Agent Builders (Claude Desktop, Cursor, LangGraph, Zapier, Make, n8n, and more) 5. Evals monitors all tool interactions for observability and optimization
Installation
Installation instructions are not available yet.
Configuration
Configuration example is not available yet.
Capabilities
- Create governed SQL views
define exactly what data agents can access across connected databases using Pylar's SQL IDE.
- Generate MCP tools from natural language
describe a data interaction in plain English and let Pylar's AI produce the corresponding tool.
- Publish tools to agent builders
deploy MCP tools to Claude Desktop, Cursor, LangGraph, Zapier, n8n, and similar platforms without redeploying agents.
- Monitor agent interactions with Evals
track errors, query patterns, and tool performance through the built-in observability dashboard.
- Join data across multiple sources
query and combine data from Snowflake, BigQuery, PostgreSQL, HubSpot, Salesforce, and other connected sources in a single view.
Tags
- documentation
- document
- database
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