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Agents & MCP

Deploy and debug Model Context Protocol servers in production with Manufact Cloud

July 2, 2026· 4 min read
OKCurated by Oleksandr Kuzmenko, AI Product Engineer·Updated July 2, 2026·Sources cited on every story
AI-assisted · editor-reviewed·How we use AI
Deploy and debug Model Context Protocol servers in production with Manufact Cloud

Manufact has launched a cloud hosting and debugging platform for Model Context Protocol (MCP) applications. Developers can deploy MCP servers, run cross-client tests, and trace live production traffic using Cloud Inspector.

Impact: Medium

Why it matters

You can now host your custom Model Context Protocol tools in a managed cloud environment with built-in production debugging and analytics.

TL;DR

  • 01Deploy MCP servers to managed cloud hosting with minimal configuration.
  • 02Debug live production agent traffic using Cloud Inspector's trace and replay features.
  • 03Build cross-compatible tools using the mcp-use SDK.

Key facts

Supported Clients
ChatGPT, Claude, and more
Core SDK
mcp-use SDK

Managed MCP Infrastructure

Manufact provides a production-ready platform to deploy, monitor, and distribute Model Context Protocol (MCP) servers. By handling the underlying hosting, it allows developers to easily transition local MCP tools to cloud-accessible endpoints.

Debugging with Cloud Inspector

The platform features a Cloud Inspector that lets developers trace and replay live production MCP traffic. This helps identify why an agent made a specific tool call or failed to parse a response. It also provides built-in analytics for tracking tool usage, latency, and reliability.

Cross-Client Testing and SDK

Developers can use the mcp-use SDK to build full-stack MCP applications. The platform allows running identical checks across multiple LLM clients including ChatGPT, Claude, and custom implementations to ensure cross-compatible tool execution.

Try it in 2 minutes

npm install mcp-use

bash

✓ When to use

  • When transitioning local MCP tools to production for team or public use.
  • When you need deep visibility into live agent tool calls and latency metrics.

✕ When NOT to use

  • For simple, locally-run development assistants that do not require external API hosting.
  • If your organization strictly forbids hosting proprietary tools on third-party cloud platforms.

What to do today

  • →Install the `mcp-use` SDK to start building standard-compliant MCP servers.
  • →Connect your test MCP server to Manufact to inspect production payload traffic.

What the community says

  • “MCP makes token use WORSE, not better.”

    — saberience on Hacker News

  • “I think you have a really neat product here, but these types of testimonials do you more harm than good”

    — zxela on Hacker News

#Manufact#Model Context Protocol#ChatGPT#Claude

Sources

  • Manufact Cloud Homepage
  • HN Discussion on Manufact Launch
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