Learnijoy
NewsAI Engineering & DevToolsAI News & Tools

Manufact Launches MCP Cloud for AI App Development and Deployment

pzullo· July 2, 2026 View original

Summary

Manufact, formerly mcp-use, has launched an MCP vertical cloud platform designed for development teams to build, test, monitor, and deploy Model Context Protocol (MCP) applications and servers. The platform aims to simplify the creation and distribution of interactive AI apps within major chat clients like ChatGPT and Claude.

Manufact, co-founded by Pietro and Luigi and part of Y Combinator S25, has introduced its new MCP Cloud platform. This specialized cloud service is built for development teams to manage the entire lifecycle of Model Context Protocol (MCP) applications and servers, from shipping and iteration to testing and monitoring, ultimately preparing them for submission to app stores. The company previously focused on open-source SDKs for MCP under the name mcp-use. The founders highlight that MCP is maturing, with major AI clients like ChatGPT and Claude now fully supporting the protocol and opening marketplaces for MCPs. These interactive UIs within chat platforms allow companies to display data more effectively and maintain brand presence in widely used AI products. Manufact aims to address challenges such as complex submission processes, the difficulty of designing effective MCPs, and the rapid evolution of the MCP specification, positioning itself as a crucial tool for this emerging ecosystem.

Why it matters

This launch signifies a growing infrastructure for developing and deploying AI-powered applications that integrate directly into popular chat interfaces, offering new avenues for product distribution, user engagement, and brand visibility for businesses.

How to implement this in your domain

  1. 1Explore Manufact's MCP Cloud platform to understand its capabilities for building and deploying AI apps.
  2. 2Consider how your existing products or services could be adapted into interactive MCPs for chat platforms.
  3. 3Develop a prototype MCP application to test user engagement and functionality within AI chat environments.
  4. 4Allocate resources for learning the MCP specification and best practices for designing effective chat-based UIs.
  5. 5Evaluate the potential for increased user retention and organic product discovery through MCP marketplaces.

Who benefits

Software DevelopmentE-commerceMarketingCustomer ServiceSaaS

Key takeaways

  • Manufact's MCP Cloud simplifies the development and deployment of AI applications for chat platforms.
  • MCPs enable interactive UIs and brand presence within major AI clients like ChatGPT and Claude.
  • This represents a new frontier for product distribution and user interaction, akin to "websites for AI apps."
  • Companies can leverage MCPs to integrate services directly into user workflows within AI chats.

Original post by pzullo

"Hi HN, we are Pietro and Luigi, cofounders of Manufact ( https://manufact.com ), a cloud for MCP apps and servers. We used to be called mcp-use, and still build open source SDKs for MCP under that name: https://github.com/mcp-use/mcp-use . We did a S…"

View on X

Originally posted by pzullo on X · view source

Want to go deeper?

Turn these trends into skills with Learnijoy's hands-on AI & tech courses.

Explore courses

More in AI Engineering & DevTools

Fable AI Temporarily Removed from Subscriptions After July 7th
AI News & ToolsAI Engineering & DevTools

Fable AI Temporarily Removed from Subscriptions After July 7th

Fable, an AI service, will be temporarily unavailable on subscription plans starting July 7th due to capacity issues, with plans to restore it as a standard offering once capacity allows.

@trq212Jul 2, 2026
Three.js Sky Pro Launches for Realistic 3D Sky Environments
Video
AI Engineering & DevTools

Three.js Sky Pro Launches for Realistic 3D Sky Environments

A new professional tool, Three.js Sky Pro, has been released, offering advanced capabilities for creating realistic sky environments in 3D applications. The developer notes it was a challenging project to complete.

@dangreenheckJul 2, 2026
AI News & ToolsAI Engineering & DevTools

Microsoft Trains 6,000 to Deploy AI, Addressing Business Adoption Gaps

Microsoft is training 6,000 individuals to help companies implement AI solutions, recognizing that the main barrier to AI adoption isn't the technology itself but businesses' inability to effectively integrate it into their operations. Many companies struggle to scale AI pilots due to messy data, outdated workflows, and a lack of clear ownership for rollouts.

@LiorOnAIJul 2, 2026