Getting Started
Introduction
Zeeb MCP is a hosted backend infrastructure platform that exposes a full suite of developer tools through the Model Context Protocol (MCP). It lets AI agents — such as Claude, Cursor, and any other MCP-compatible client — create and manage backend projects, generate code, run migrations, inspect databases, manage files, and more, all through a secure, multi-tenant API.
What you get
| Capability | Description |
|---|---|
| Hosted projects | Isolated zeebpy project workspaces per tenant, with git and a live preview URL |
| 50+ MCP tools | First-class tools for every stage of backend development |
| API key management | Scoped, auditable API keys with revocation and per-key feature flags |
| Multi-tenant isolation | Every tenant's data, projects, and keys are strictly isolated |
| Usage metering | Tool calls counted against plan limits; real-time usage tracking |
| OAuth & bearer auth | Supports both direct bearer token auth and interactive MCP OAuth |
How it works
AI Agent (Claude / Cursor)
│ MCP over HTTP
▼
Zeeb Gateway ──── Auth & quota check ──── Billing service
│
▼
Worker service ──── Executes tool ──── Project workspace
│
▼
Result returned to agent
- Your AI agent connects to
https://mcp.zeeb.cloud/mcpwith an API key. - The gateway authenticates the key, checks your plan quota, and creates a job.
- The worker executes the tool in your tenant's isolated workspace.
- The result is returned to the agent via the MCP protocol.
MCP server URL
https://mcp.zeeb.cloud/mcp
All MCP tools are mounted at this single endpoint. Authentication is via a Bearer token in the Authorization header.
Next steps
- Quickstart — Connect your first AI agent in 5 minutes
- Authentication — Understand API keys and OAuth
- Connecting — Client-specific setup instructions