We’re building the Vercel for MCP servers. Instead of wrestling with Kubernetes, OAuth, TLS, storage, and observability, developers can deploy an MCP server from Git, Docker, npx, or uvx in minutes. Every deployment gets authentication, HTTPS, storage, and a live endpoint by default. Unlike registries or integration gateways, MCPLambda focuses on production deployment, governance, and developer experience, making MCP infrastructure accessible to teams that don’t want to become DevOps experts.
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Maker
📌
I’m Ola, founder of MCPLambda. Over the last year, I’ve watched MCP become the standard way AI agents connect to tools. But deploying MCP servers in production still feels far too difficult. Developers end up managing Kubernetes, OAuth, TLS certificates, storage, scaling, and observability before they can even ship their actual product.
MCPLambda was built to change that.
With MCPLambda you can deploy an MCP server from Git, Docker, npx, or uvx and get a production-ready endpoint with HTTPS, authentication, and persistent storage in minutes.
Our goal is simple: become the Vercel for MCP servers.
We’re still early and would genuinely love feedback from the community.
What’s your biggest pain point when deploying MCP servers today?
What would make you trust a managed MCP platform for production workloads?
Happy to answer any questions about the architecture, roadmap, or MCP infrastructure in general. Thanks for checking us out!
https://mcplambda.io/