The
Automation
Company
IfyourproducthasanAPI,yourproductneedsanMCP
As businesses adopt AI agents, these agents need ways to interface with applications like yours.
A Model Context Protocol (MCP) server shares your product's data and capabilities with AI agents. It's similar to how REST or GraphQL APIs provide a standard way to interact with web applications.
The MCP – designed by Anthropic's research team – has rapidly become the industry standard for AI agents.
Don't wait for a random open-source MCP to define the AI strategy for your product.
An official MCP guarantees quality, maintenance, and the responsible sharing of your product's data and capabilities with AI agents.
- •Grow revenue as AI agents increase usage of your product
- •Simplify your integration strategy with third-parties
- •Prove to customers and partners that you're on the cutting edge of AI
As an early adopter of the MCP ecosystem, I've built multiple successful MCP servers used by the open-source community. The patterns I pioneered in my own frameworks influenced Anthropic's official MCP libraries.
Let's discuss how an MCP can prepare your product for the era of AI agents and give you a competitive edge.
Led by Zach Caceres
Founding engineer & product leader at startups like:
- Storetasker.comThe world's #1 Shopify expert marketplace
- Clay.com$1.3B AI automation pioneer for outbound marketing. Backed by Sequoia & First Round
- Makesoil.orgThe world's largest composting community
- Curology.comPre-IPO vertically-integrated online dermatology practice
- ClaritySchools.comAmerica's #1 financial aid suite for private schools. Backed by First Round.