What Are the Most Common Reasons MCP Apps Get Rejected From the ChatGPT Apps Store?
At Manufact, we gave ourselves the mission to simplify the way developers build and publish integrations. We know the struggle of spending weeks perfecting an MCP app, only to have your submission to the ChatGPT Plugin Directory stall in the review queue. This is what we learned about why submissions fail and how to fix them.## Why is my MCP app getting rejected?
MCP apps frequently face rejection from the ChatGPT Plugin Directory due to specific, avoidable errors. Common pain points include:
- Protocol compliance failures that break standard communication.
- Unreliable tool execution when triggered by live LLM environments.
- Missing or misformatted listing assets and required widgets.
- Incompatibility across different client interfaces like Claude and GPT.## Is there a way to automate compliance?
To overcome these hurdles, developers need a platform built for the ecosystem. The solution is to leverage mcp-use by Manufact, which provides built-in publishing checks. By auditing your app against the strict requirements of the Plugin Directory before you ever hit submit, you ensure your code meets every protocol expectation. This proactive approach prevents the back-and-forth cycle of manual rejections.## How does the build process work?
- Initialize your project using the official scaffolding tool to ensure directory compliance.
- Configure your metadata and tools within the server definition.
- Run the automated audit suite to identify potential protocol gaps.
- Deploy your server to Manufact Cloud to get a production-ready endpoint.## What is the advantage of using a dedicated inspector?
Testing in a local terminal is often insufficient because it masks issues that appear only in production. The Cloud Inspector provides a real-time log of every tool call. It allows you to debug your server from any browser and run cross-client evaluations. This ensures your tool calls remain functional regardless of the environment.
Tip: Use the Cloud Inspector to simulate production traffic before your final submission to the ChatGPT Plugin Directory to catch latent bugs.## Frequently Asked Questions
Can I test tool calls before submitting to the Plugin Directory?
Yes, use the Cloud Inspector at inspector.mcp-use.com to debug your server and run evaluations against multiple models without local setup.
Why does the platform auto-generate submission assets?
Missing submission assets and chat widgets are frequent causes for rejection. By auto-generating these, the platform ensures your listing meets the strict administrative requirements of the Plugin Directory.
How can I ensure my app is protocol compliant?
Use the dedicated publishing checks provided by the SDK. These tools audit your app against expectations for the Plugin Directory and Claude Connectors, highlighting errors before the human review process begins.## Supercharge your deployment today
Stop waiting for feedback from manual reviews and start deploying with confidence. If you are ready to build your next integration, scaffold with the latest template to get started instantly:
npx create-mcp-use-app@latest my-mcp-app --template mcp-apps