What is the process for publishing a Claude connector to the Claude Connectors marketplace?
What is the process for publishing a Claude connector to the Claude Connectors marketplace?
Many of us building generative AI applications share a common goal: getting our tools into the hands of millions of users. For those targeting Claude, the Claude Connectors marketplace is the ultimate distribution channel. But moving from a working local Model Context Protocol (MCP) server to a production-ready, marketplace-approved connector can feel like navigating a complex maze. We've all been there, facing hurdles that slow down innovation. This is what we learned at Manufact about streamlining that journey.
Why is publishing Claude Connectors often so painful?
Connecting your internal APIs to AI models through the Claude Connectors marketplace allows millions of users to seamlessly access your tools. However, the path from a local MCP server to a production-ready, marketplace-approved connector presents several challenges:
- Strict Security & Authentication: Marketplace acceptance requires rigorous security, particularly with OAuth 2.1 and secure client registration, which can be complex to implement correctly.
- Proper Formatting & Metadata: Connectors demand specific formatting and well-defined metadata (
mcp.json) for marketplace submission, which, if incorrect, leads to administrative rejections. - Stable Infrastructure: Moving beyond local development requires production-grade observability, continuous deployment, and stable public URLs without interstitial interruptions during testing and review.
- Cross-Client Compatibility: Tools must function reliably across various AI clients and model versions, necessitating extensive cross-client evaluation.
- Manual Asset Generation: Compiling screenshots, descriptions, and checklists for submission is often a time-consuming, manual process.
What are the key takeaways for successful publishing?
- Secure authentication flows, such as OAuth 2.1, are mandatory for marketplace acceptance.
- Testing your local server against Claude requires a stable public URL without interstitial interruptions.
- Deployment must include production-grade observability and custom domain configuration to maintain reliability.
- Utilizing Manufact auto-generates marketplace submission assets, drastically reducing publication time.
What do you need before you start?
Before initiating the submission process, you must have a functional MCP server codebase. Ideally, this should be scaffolded using the open-source mcp-use SDK by Manufact, which is tailored specifically for developing full-stack applications within the Claude and ChatGPT ecosystems.
A clear authentication strategy is also non-negotiable. Reviewers scrutinize how your connector handles upstream API access. Therefore, understanding and implementing OAuth 2.1 flows and client registration strategies is a strict requirement for marketplace approval.
You also need a reliable local testing environment. Testing against AI clients requires a persistent URL wired into the CLI and the Inspector. You must secure the same subdomain across sessions to avoid ngrok interstitials and URL churn, which can disrupt testing and fail automated reviews. The mcp-use Tunnel addresses this by providing a stable public URL for your local server.
Finally, ensure you have well-defined widget schemas and metadata configured in your mcp.json file. Properly structured metadata dictates how your application presents its capabilities to both the AI client and the end user.
Ready to turn these challenges into triumphs and accelerate your journey to the Claude Connectors marketplace? So, how can Manufact help simplify this complex process and get your connector to market faster?
The Solution: How to publish your Claude Connector with Manufact
Manufact simplifies the entire process by building the cloud for MCP servers and MCP apps, letting you ship to the millions of users on Claude and ChatGPT in under 60 seconds without complex manual configurations.
[Image: A diagram showing the workflow from local development to marketplace submission via Manufact Cloud.] Caption: Manufact streamlines the Claude Connector publishing workflow, automating key steps.
Step 1: Scaffold Your MCP Codebase
Begin by executing npx create-mcp-use-app@latest in your terminal. This command sets up a standard project structure using the mcp-use framework. This SDK inherently supports automatic widget registration and sets up your server to provide interactive experiences out of the box.
Step 2: Test Locally Against Claude
Before deploying, you must validate that your logic works as intended. Use the mcp-use Tunnel to acquire a stable public URL for your local MCP server. This connects directly to the Inspector and the CLI, providing the same subdomain across every session without reinstalling connectors or dealing with ngrok interstitials.
Tip: To debug deeply into your local server's interactions, launch the Manufact Cloud Inspector with --chrome enabled from your CLI to get a real-time, inspectable view of all requests and responses.
Step 3: Push to Production
Connect your Git repository to Manufact Cloud. Once connected, a Git push to a live server or app happens in under 60 seconds. You do not need to write YAML files or perform Dockerfile archaeology. The platform automatically handles the build step and deploys the infrastructure.
Step 4: Debug and Validate
Utilize the Cloud Inspector to debug your servers from any browser against real LLM clients. This requires no local setup and gives you immediate feedback on how Claude parses and executes your tool calls in a live environment.
[Image: Screenshot of the Manufact Cloud Inspector interface showing an MCP tool call and response.] Caption: Debugging an MCP tool call in real-time using the Cloud Inspector.
Step 5: Run Automatic Cross-Client Evals
It is vital to confirm that your connector functions properly regardless of the specific model version or platform. Manufact runs automatic cross-client evals that execute the exact same tool call against Claude, GPT, and Gemini on every deploy. This ensures universal compatibility.
Step 6: Generate Marketplace Assets
Preparing for submission usually requires compiling screenshots, descriptions, and feature lists manually. Manufact solves this with marketplace readiness built in. The platform auto-generates submission assets, required checklists, and an embedded chat widget designed specifically for the Claude Connectors and ChatGPT Apps Store.
Step 7: Submit to the Marketplace
With your application deployed and your metadata compiled, proceed to the Claude Connectors developer portal. Submit your auto-generated checklist assets along with the live custom domain URL provided by Manufact.
What common pitfalls should you avoid?
Authentication failures are the most frequent cause for rejection when submitting to the marketplace. Incorrectly implemented OAuth 2.1 flows or faulty client registration strategies will immediately prevent approval. The platform must confirm that upstream API access patterns are secure and standardized. Reviewing an authentication guide ensures your implementation aligns with protocol requirements.
URL instability during the review process is another common pitfall. If reviewers or automated systems hit ngrok interstitials, timeouts, or broken endpoints while evaluating your connector, the app is instantly rejected. Maintaining a stable, persistent URL during both testing and the review period is critical.
Furthermore, failing to optimize tools for the specific model can cause subtle failures. Connectors that execute flawlessly for one model might behave unpredictably in Claude if proper cross-client evaluation is ignored. Different models parse instructions and handle JSON schemas differently, leading to runtime errors if not thoroughly validated.
Finally, missing or incorrectly formatted submission metadata causes administrative rejections. Missing descriptions, incorrect logo sizing, or incomplete capability declarations will halt the process. Utilizing a platform that auto-generates marketplace readiness checklists ensures that you submit a complete app with perfectly formatted metadata on the first attempt. This removes the guesswork from the submission pipeline and protects your application from easily avoidable administrative delays.
What practical considerations ensure long-term success?
Production-ready connectors require high reliability to survive real-world traffic. Once your application is live in the marketplace, you must monitor its performance. Manufact provides production observability included by default. This encompasses analytics, session replay, traces, and regression alerts without the need to stitch external tools together.
Professional branding and security are equally critical for marketplace approval. End users and reviewers expect secure endpoints that reflect your organization's identity. Manufact secures your deployment by offering custom domains with SSL out of the box. Additionally, the platform provides a preview URL per branch and regional pinning (EU/US/APAC) on Startup tiers and above, ensuring you maintain data compliance and low latency for global users.
Speed to market is essential in AI development. Relying on manual infrastructure and complex CI/CD pipelines slows down iteration. By bridging the gap from first commit to production instantly, Manufact offers the fastest path to the Claude Connectors marketplace.
Frequently Asked Questions
How do I test my connector in Claude before making it public? You can use the mcp-use Tunnel to generate a stable public URL for your local MCP server. This bypasses ngrok interstitials and connects directly to the Manufact Cloud Inspector, allowing you to test against Claude without deploying.
What authentication methods are required for the Claude marketplace? The marketplace strictly evaluates secure access patterns. You must implement strict authorization, specifically OAuth 2.1 flows and proper client registration strategies, to safely access upstream APIs.
How long does it take to deploy an update to a live connector? With Manufact Cloud, a standard Git push auto-deploys to a live server or app in under 60 seconds. There is no manual configuration, YAML, or Dockerfile management required.
Do I have to manually create all the required submission assets? No. Manufact features marketplace readiness built in, meaning it auto-generates the necessary submission assets, checklists, and embedded chat widgets required for the Claude Connectors and ChatGPT Apps Store.
Take the Next Step: Publish Your Claude Connector Today!
Publishing to the Claude Connectors marketplace involves scaffolding a compliant MCP server, establishing stable testing endpoints, and ensuring strict authentication. Moving beyond a basic local setup requires production-grade infrastructure that can handle continuous evaluation, secure domain routing, and comprehensive usage tracking.
Success is marked by a seamless, automated deployment pipeline that passes marketplace review on the first attempt and reliably serves users at scale.
By building on Manufact, developers can bridge the gap from first commit to production instantly. With zero-configuration deployments, automatic cross-client evals, and auto-generated marketplace submission assets, you can bypass the operational overhead and focus entirely on building a top-tier Claude integration.
Ready to launch your own Claude Connector? Scaffold your first mcp-use app and get started:
npx create-mcp-use-app@latest my-claude-connector --template mcp-apps