zalor

Managed MCP, zero ops

Turn your APIs into production-ready MCP tools.

How It Works

Three steps to ship LLM‑ready MCP endpoints without the ops.

One dashboard for all your AI tools

One dashboard for all your AI tools

Manage, monitor, and control every MCP deployment from a single place.

  1. 1

    Register

    Upload an API specification and select an authorization method.

  2. 2

    Publish

    One-click deployment, generate a customized MCP endpoint in seconds.

  3. 3

    Connect

    Immediate client integration into AI chat and workflows.

Claude Desktop (Connectors)

# Settings → Connectors → Add custom connector
# Name: <yourdomain>
# URL: https://mcp.yourdomain.com/mcp

Claude Code (CLI)

claude mcp add --transport http <yourdomain> https://mcp.yourdomain.com/mcp

Cursor (global config)

# ~/.cursor/mcp.json
{
  "mcpServers": {
    "your-server-name": {
      "url": "https://mcp.yourdomain.com/mcp",
      "headers": {
            "Authorization": "Bearer ${env:AUTH_TOKEN}"
      }
    }
  }
}

Why Zalor

<5

minutes to integration

40+

hours of bandwidth saved

99.9%

target SLO

  • Rate limiting with configurable quotas per client
  • Automatic redaction of sensitive fields (PII, secrets, etc.)
  • Client-identifying headers injected for downstream context
  • Built-in authentication (API keys, OAuth, etc.) with minimal config
  • Log export functionality for easy integration with your observability stack
  • Zero-boilerplate setup that saves weeks of development and operations bandwidth
  • MCP Marketplace for rapid integration with existing MCP servers
Marketplace

Join the Pilot

We're onboarding a limited number of companies for early integration.