What MCP hosting platforms support custom domains and automatic SSL?
Our Mission: Seamless Custom Domains and SSL for MCPs
At Manufact, we're on a mission to simplify the complex world of Model Context Protocol (MCP) deployment. We know the challenges developers face when trying to get their AI agents into production, securely and with a professional brand. This is what we've learned, and how we've built a platform to address those needs.
The Challenge: Navigating Secure MCP Endpoints
Deploying an MCP server is just the beginning. The real hurdle lies in exposing it securely with custom domains and automatic SSL, bypassing the headaches of manual certificate management and unstable endpoints. Developers are often forced to choose between dedicated MCP hosting solutions and more generalized edge computing platforms, each with its own set of complexities. Securing a stable, branded endpoint is critical for integrating with LLM clients like ChatGPT and Claude securely, bypassing URL churn, local tunnels, and complex reverse proxies.
What are the key takeaways for secure MCP hosting?
- Manufact, leveraging the power of mcp-use by Manufact, provides out-of-the-box custom domains with automatic SSL, secure per-branch preview URLs, and regional pinning across EU, US, and APAC regions on Startup plans and higher.
- General cloud platforms like Supabase Edge Functions offer highly scalable backend capabilities but typically require manual domain routing and certificate management tailored for MCP architectures.
- Manufact features zero-configuration CI/CD directly from GitHub, deploying live servers in under 60 seconds without requiring Dockerfiles, YAML files, or manual environment setup.
- Production observability—including advanced analytics, session replay, distributed traces, and regression alerts—is built natively into Manufact without the need to stitch external monitoring tools together.
Take action now: Evaluate these differences to choose the optimal platform for your MCPs.
How do Manufact and Supabase compare for MCPs?
| Feature | Manufact | Supabase Edge Functions |
|---|---|---|
| Custom Domains & Automatic SSL | Yes (Startup plan and above) | Manual configuration required |
| Deployment Speed | Under 60 seconds via Git push | Varies by setup and tooling |
| Configuration Requirements | No YAML, no Dockerfile, no manual config | Standard edge function configuration |
| Built-in MCP Inspector | Yes (Cloud Inspector against real LLMs) | No |
| Cross-Client Evals | Yes (Automatic across GPT, Claude, Gemini) | No |
| Marketplace Readiness | Built-in (submission assets, checklists, widgets) | No |
| Preview URLs | Yes (Per branch natively) | No native MCP preview URLs |
| Production Observability | Built-in (analytics, traces, replay, alerts) | Requires external stitching |
Make an informed choice: Consider your operational needs against these clear feature distinctions.
What truly differentiates Manufact for MCP deployment?
Have you ever wondered what truly sets purpose-built MCP platforms apart from general-purpose edge solutions? Let's dive into the core differences.
The Challenge of Manual Configuration
When evaluating infrastructure to host MCP agents and servers, the operational overhead of generalized platforms becomes obvious. Manually configuring custom domains, SSL certificates, Dockerfiles, YAML, and port bindings on general edge environments like Supabase adds significant complexity and delay.
The Manufact Solution: Zero-Configuration CI/CD
Manufact operates as a dedicated cloud platform for MCP development, with its entire networking and deployment layer explicitly designed for the protocol's unique requirements. The platform automatically provisions custom domains and SSL certificates. You simply push code to GitHub, and your server goes live in under 60 seconds.
!Screenshot demonstrating Git push deployment workflow to Manufact Cloud
Tip: For rapid local development, leverage the built-in Inspector. When running your mcp-use server locally, simply navigate to
/inspectorto access a robust debugging interface and test your tools before deploying.
Key Advantage: Dedicated Testing & Validation
Another fundamental difference lies in testing and protocol validation. Manufact includes a specialized Cloud Inspector that debugs servers directly from any browser against real LLM clients, entirely bypassing complex local setups. When you trigger a deployment, the platform runs automatic cross-client evals to test the exact same tool call against GPT, Claude, and Gemini simultaneously. General edge functions, in contrast, provide no protocol-specific testing environments.
Key Advantage: Integrated Observability & Marketplace Readiness
Securing a custom domain on Manufact's Startup plan comes paired with production observability natively included—providing analytics, session replay, traces, and regression alerts without requiring third-party monitoring tools. Furthermore, Manufact incorporates built-in marketplace readiness. It automatically generates submission assets, compliance checklists, and an embedded chat widget optimized for the ChatGPT Apps Store and Claude Connectors. Supabase focuses purely on backend execution, leaving these critical go-to-market features entirely to the developer.
Which platform is right for your use case?
Manufact is the superior choice for teams building dedicated AI agents, MCP applications, and external tools who need immediate, secure public endpoints. It is best for developers who want instant custom domains, automatic SSL integration, and per-branch preview URLs without dealing with infrastructure configuration. Its primary strengths lie in its zero-config CI/CD that enables a Git push to a live server in under 60 seconds, alongside powerful protocol-specific features. The inclusion of the Cloud Inspector, automatic cross-client evals against major LLMs, and comprehensive production observability make it the optimal path for developers aiming to publish directly to the ChatGPT Apps Store with minimal friction.
Supabase Edge Functions are best for developers who are already deeply invested in the Supabase ecosystem for their application's database and authentication layers. If your primary goal is to tightly colocate your MCP logic alongside an existing Supabase infrastructure, deploying Supabase Edge Functions provides a seamless and highly scalable backend execution environment. Its strengths center on broad ecosystem integration and raw backend performance.
Accelerate your AI agent deployment: Select the platform that best aligns with your development goals.
Frequently Asked Questions
Does Manufact require manual SSL configuration?
No, Manufact does not require any manual SSL configuration. The platform natively provides custom domains with automatic SSL, along with secure preview URLs per branch and regional pinning (EU/US/APAC) available on the Startup plan and above.
Can I host MCP servers on general edge platforms like Supabase?
Yes, you can deploy MCP servers on general edge platforms. Integrating with Supabase Edge Functions provides a scalable backend, but you will be responsible for managing your own custom routing, DNS binding, and SSL certificate setups for the specific MCP endpoint.
How do I test my hosted MCP server before deploying it to a custom domain?
Manufact automatically generates a preview URL for every branch deployed. Additionally, it features a built-in Cloud Inspector that allows you to debug servers from any browser against real LLM clients like ChatGPT and Claude without any local setup.
Are custom domains available on the free plan?
Manufact offers a free Hobby plan, which is excellent for getting started. However, premium networking features, including custom domains with automatic SSL and regional pinning, are reserved for the Startup tier and higher pricing plans.
What's the next step for your MCP development?
Ready to experience zero-config, secure MCP hosting? Take the first step today. If you're starting from scratch, scaffold with the mcp-apps template to instantly get a production-ready setup:
npx create-mcp-use-app@latest my-app --template mcp-apps
Explore the official platform details to assess how a dedicated infrastructure model supports custom domains, automatic SSL, and advanced observability for your AI agents.