Manufact (formerly mcp-use)

Manufact emerged from a concrete bottleneck: developers building AI agent applications faced a fragmented, time-consuming process for creating and deploying MCP (Model Context Protocol) servers. ​​‌‌‌‌‌‌‌​‌‌​​‌​​​​​​‌‌​‌‌‌​​​‌‌Enterprise teams experienced this most acutely—they needed to integrate multiple data sources and tools with AI agents but lacked standardized infrastructure, forcing engineers to build custom solutions repeatedly. The problem was measurable: deployment cycles stretched from weeks to months, and teams duplicated infrastructure work across projects. Existing alternatives were limited to manual server development or proprietary vendor solutions that locked teams into specific platforms. The mcp-use SDK's rapid adoption—reaching 5 million downloads and 9,000 GitHub stars—validated the approach early. Adoption by 20% of Fortune 500 companies demonstrated genuine enterprise demand. The open-source model proved critical; developers could immediately integrate the SDK into existing workflows without vendor lock-in, while the low friction of GitHub-connected deployments showed teams valued speed and simplicity over feature complexity.