Build Powerful AI Agents with MCP

Use MCPs as the backbone of your AI agent product. Connect custom and existing MCPs to create a unified tool framework - your users see a seamless agent, while you benefit from modular, standardized tool integration.

Diagram showing MCPs connecting to AI agent infrastructure

What Your Development Team Gets

A unified framework for building agent capabilities using MCPs - whether custom-built for your specific needs or existing MCPs from the community. Your developers can focus on agent logic while MCPs handle tool integration, authentication, and data access patterns.

What Your AI Agent Gets

Modular, standardized tool access that scales with your product. Add new capabilities by connecting MCPs without rebuilding core agent infrastructure. Your agent becomes more powerful while maintaining clean separation between tool logic and agent reasoning.

EXAMPLE

Your AI Agent, Powered by MCPs

Your users interact with a single AI agent, while behind the scenes you leverage multiple MCPs for different capabilities:

Custom MCP: "Access our proprietary customer database"

Community MCP: "Search GitHub repositories and documentation"

Custom MCP: "Execute deployment workflows and check system status"

Modular architecture lets you add new capabilities without rebuilding your core agent infrastructure.

Building an AI agent product?

Transform your development process with MCP-powered agent architecture. Connect your custom tools and existing MCPs to create a unified, scalable framework for agent capabilities.