Manufact, a Y Combinator S25-backed startup headquartered in San Francisco, is scaling its engineering operations while advancing its open-source infrastructure for the Model Context Protocol. The company has emerged as a key enabler for development teams seeking to integrate AI agents with enterprise software, offering streamlined tools to build and deploy MCP servers and applications compatible with ChatGPT and Claude. Central to the Manufact ecosystem is the mcp-use SDK, a widely adopted open-source framework that has surpassed 7 million downloads and accumulated 10,000 GitHub stars. The SDK adoption has proven substantial, with approximately 20 percent of Fortune 500 companies leveraging the tool to accelerate AI integration workflows. By allowing developers to connect existing GitHub repositories and generate functional MCP-compatible applications in minutes, Manufact has significantly reduced the technical friction associated with AI agent interoperability. Founded in 2025, Manufact operates as a lean five-person team dedicated to refining developer experience and infrastructure reliability. As demand for standardized AI connectivity grows, the company is now expanding its technical leadership by recruiting a Senior Infrastructure Engineer. This role will focus on strengthening core deployment pipelines, optimizing SDK performance, and ensuring the underlying architecture can support enterprise-grade workloads. Candidates will collaborate directly with founders to scale the platform, maintain open-source contributions, and drive product iterations aligned with emerging AI agent requirements. Manufact rapid traction and early-stage success underscore a broader industry shift toward standardized, protocol-driven AI integration. With its Y Combinator backing and proven developer adoption, the company is positioning itself as a foundational layer for next-generation AI applications. The ongoing recruitment push reflects a strategic focus on infrastructure maturity as the startup prepares to scale its offerings beyond early adopters into broader enterprise environments.