orita-mcp

MCP server for the Orita Provider Resolution API — lets AI agents search a provider network, apply eligibility rules, resolve availability, and safely confirm bookings.

What this does

Orita resolves the provider-routing problem:

Your application knows what service the customer needs, but not which professional is eligible and available.

This MCP server exposes that resolution workflow as tools that AI agents (Claude, Cursor, and compatible clients) can call natively.

Related MCP server: carly-cli

Primary workflow

resolve_scheduling          → search provider network, return ranked options
hold_scheduling_option      → temporarily reserve the selected slot
confirm_scheduling_resolution → confirm booking after customer approval

Tools

Agent safety

✓ resolve_scheduling, get_resolution, list_professionals, get_slots
  → No customer approval required

⚠ hold_scheduling_option
  → Application-defined

✗ confirm_scheduling_resolution, reschedule_booking, cancel_booking
  → Require explicit customer approval before calling
  → Display provider, service, time, timezone, and cancellation policy first

Never call confirm_scheduling_resolution until the customer has explicitly approved:

• Provider name

• Service

• Date and time

• Timezone

• Cancellation policy

Connect via remote server

{
  "mcpServers": {
    "orita": {
      "url": "https://orita.online/api/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_ORITA_API_KEY"
      }
    }
  }
}

Note: Requests must include Accept: application/json, text/event-stream. MCP-compatible clients send this automatically.

Install via PyPI

pip install orita-mcp
ORITA_API_KEY=orita_... python -m orita_mcp

Get an API key

Free at orita.online/sign-up — no credit card. 50 active providers, 5,000 resolutions/month included on the free plan.

Resources

• Developer docs

• MCP documentation

• API reference

• OpenAPI spec

• Node.js SDK

• Python SDK