mcpup.io helps enterprises build, deploy and operate production-grade MCP servers in minutes — no protocol expertise required. Model, package and expose your APIs securely with built-in observability and scaling so AI agents can use them reliably.
We enable enterprises to become AI-ready by removing engineering friction between existing systems and modern AI agents. mcpup.io gives product and engineering teams a single platform to model, build, and operate MCP servers — securely and at scale.
AI agents are capable — but enterprise systems are not always prepared. Connecting APIs, data sources and services to agent workflows is often slow, manual, and risky. This creates long delivery cycles, costly engineering work, and fragile integrations.
mcpup.io compresses the effort of making systems AI-ready. Use visual modeling, no-code connectors, or inline TypeScript to define MCP tools, build production images, and deploy secure endpoints — all from a single console.
Design MCP tools with drag & drop and built-in editors.
Per-project end-to-end encrypted secret store.
One-click build produces a container image in 30–90s; deploy in seconds.
Built-in dashboards and exportable analytics.
From idea to running MCP server in minutes:
Create a project and document it in the built-in Markdown editor.
Model tools in the Visual Editor — use REST, GraphQL, or custom TypeScript logic.
Build a production container image with a single click (30–90s).
Deploy the build to a secure MCP endpoint under the mcpup.io domain — choose region and scaling rules.
Test in the integrated Playground and monitor traffic and performance in the analytics dashboard.
Because speed matters. mcpup.io is built to shorten integration cycles, remove protocol complexity, and deliver secure, observable MCP servers with minimal engineering overhead. Whether you're enabling an internal AI assistant or exposing services for intelligent agents, mcpup.io is the fastest path from API to agent.
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