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One Control Pane, Any Agent Builder

Pylar provides a unified way to connect your data views to any agent builder—whether it’s code-driven like LangGraph, no-code like Zapier, or AI-native like Claude Desktop. All controlled, optimized, and iterated from one place: Pylar.

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The Problem with Traditional Approaches

Traditional data access for agents requires:
  • ❌ API Development: Building custom APIs for each agent builder
  • ❌ Scattered SQL: SQL queries scattered across different systems
  • ❌ No Central Control: Can’t update queries from one place
  • ❌ Complex Integration: Different integration patterns for each builder
  • ❌ Maintenance Nightmare: Changes require updates everywhere
  • ❌ No Visibility: Hard to see how agents are using data

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The Pylar Solution

With Pylar, you get:
  • ✅ One MCP Server: Single connection point for all agent builders
  • ✅ Centralized Views: Define data access once in Pylar
  • ✅ One Control Pane: Update views and tools from Pylar, changes reflect everywhere
  • ✅ No API Code: No need to build or maintain APIs
  • ✅ No SQL Changes Everywhere: Update SQL in one place, all agents get updates
  • ✅ Full Visibility: See how all agents interact with your data through Evals
Pylar acts as a universal data access layer. Define your views once, connect any agent builder, and control everything from Pylar’s dashboard.

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How It Works

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Step 1: Define Views in Pylar

Create your data views in Pylar’s SQL IDE:
  • Write SQL queries
  • Join across multiple databases
  • Define exactly what data agents can access

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Step 2: Build MCP Tools

Create MCP tools on your views:
  • Use AI to generate tools from natural language
  • Or configure tools manually
  • Test before publishing

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Step 3: Publish and Get Credentials

Publish your tools and receive:
  • MCP HTTP Stream URL: Connection endpoint
  • Authorization Bearer Token: Secure authentication

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Step 4: Connect Any Agent Builder

Paste your credentials into any agent builder:
  • Code-driven (LangGraph, OpenAI Agents, custom code)
  • No-code (Zapier, Make, n8n)
  • AI-native (Claude Desktop, Cursor, Windsurf)

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Step 5: Control from Pylar

Update views or tools anytime:
  • Changes reflect automatically in all connected builders
  • No need to update code or configurations elsewhere
  • Monitor everything through Evals

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Universal Compatibility

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Code-Driven Agent Builders

Perfect for developers building custom agents:
  • LangGraph: Build stateful agent workflows
  • OpenAI Assistants API: Create AI assistants
  • Custom Python/JavaScript: Any MCP-compatible code
  • LangChain: Framework for LLM applications
How it works: Use MCP client libraries to connect to Pylar’s MCP server.

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No-Code Agent Builders

Perfect for non-developers building automations:
  • Zapier: Connect apps and automate workflows
  • Make (Integromat): Visual automation platform
  • n8n: Open-source workflow automation
  • Any HTTP-based tool: Tools that support HTTP requests
How it works: Use HTTP requests to Pylar’s MCP server endpoint.

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AI-Native Builders

Perfect for AI agent development:
  • Claude Desktop: Anthropic’s desktop AI assistant
  • Cursor: AI-powered code editor
  • Windsurf: AI coding assistant
  • Any MCP-compatible tool: Tools supporting MCP protocol
How it works: Native MCP protocol support for seamless integration.

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Key Benefits

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For Developers

  • No API Development: Skip building custom APIs
  • Standard Protocol: Use MCP, the emerging standard
  • Focus on Logic: Build agent logic, not data access code
  • Easy Updates: Change data access without touching agent code

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For Non-Developers

  • No Code Required: Connect via HTTP requests
  • Visual Interfaces: Use familiar no-code tools
  • Easy Setup: Just paste credentials
  • Automatic Updates: Changes happen automatically

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For Organizations

  • Centralized Control: One place to manage all data access
  • Security: Views are the only access level
  • Compliance: Full audit trail of all access
  • Scalability: Add new agent builders without complexity

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The Workflow

┌─────────────────┐
│   Your Views    │  ← Define once in Pylar
│   (Pylar IDE)   │
└────────┬────────┘
         │
         ↓
┌─────────────────┐
│   MCP Tools     │  ← Create tools on views
│   (Pylar)       │
└────────┬────────┘
         │
         ↓
┌─────────────────┐
│  Publish Tools  │  ← Get credentials
│  (Pylar)        │
└────────┬────────┘
         │
         ├─────────────────┬─────────────────┬───────────────┐
         ↓                 ↓                 ↓               ↓
┌──────────────┐  ┌──────────────┐  ┌──────────────┐  ┌──────────────┐
│   LangGraph  │  │    Zapier    │  │   Claude     │  │   Custom     │
│   (Code)     │  │   (No-code)  │  │   (AI)       │  │   (Any)      │
└──────────────┘  └──────────────┘  └──────────────┘  └──────────────┘
         │                 │                 │               │
         └─────────────────┴─────────────────┴───────────────┘
                              ↓
                    ┌─────────────────┐
                    │   Evals (Pylar) │  ← Monitor all from one place
                    └─────────────────┘

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Control and Iteration

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Update Views

Change your SQL queries in Pylar:
  • All connected agents automatically get updated data
  • No code changes needed in agent builders
  • No configuration updates required

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Optimize Tools

Refine MCP tools based on Evals:
  • See how agents actually use your tools
  • Identify optimization opportunities
  • Update tools and see improvements immediately

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Iterate Quickly

Make changes and see results:
  • Test changes in Pylar
  • Publish updates
  • All agents get updates automatically
  • Monitor impact through Evals
The power of Pylar is in the control pane. Make changes once, and all your agent builders benefit immediately—no matter which platform they’re built on.

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Next Steps

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