Orita Provider Resolution

io.github.Alkilo-doPublished by GitHub account Alkilo-dov0.1.1Updated Oct 24, 2026

Provider resolution for AI apps — search, rank, hold, confirm bookings across your provider network.

Overview

AI-generated overview

Orita Provider Resolution lets an assistant search a provider network, rank eligible and available professionals, hold a slot, and confirm, reschedule or…

What you can do
  • Search the provider network and return ranked, explained scheduling options, with eligibility rules applied
  • Retrieve a resolution with its options, exclusions and expiry, and list providers or their available slots
  • Hold a slot temporarily and release a held slot
  • Confirm a booking, reschedule it or cancel it after customer approval
  • Look up existing booking details
When to use it
Use it when an app or agent knows which service a customer needs but must find which professional is eligible and available, then book, move or cancel that appointment. It suits scheduling and provider-routing workflows rather than general calendar management.
Requirements
Runs as a local Python process installed from PyPI (pip install orita-mcp) and started with python -m orita_mcp, or as a remote endpoint. Requires an Orita API key supplied in the ORITA_API_KEY environment variable; a free plan is available at sign-up. Desktop client only.
Before you install
The API key is a secret passed via ORITA_API_KEY. Confirming, rescheduling and cancelling bookings change real booking state and the server's own guidance says they require explicit customer approval, with provider, service, time, timezone and cancellation policy shown first; holds are application-defined. Provider and booking data is sent to Orita's service.

Installation

In SourceWeft

  1. Open Orita Provider Resolution in the dashboard and add it to a workspace.
  2. Enable the server for the chats that should use its tools.

Desktop only via STDIO. STDIO servers start a local process, so they need the SourceWeft desktop host.

Other MCP clients

Follow the launch instructions in the repository.

README

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.

[PyPI] [MCP Registry] [License: MIT]

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.

Primary workflow

resolve_scheduling          → search provider network, return ranked optionshold_scheduling_option      → temporarily reserve the selected slotconfirm_scheduling_resolution → confirm booking after customer approval

Tools

ToolDescriptionModifies state?
resolve_schedulingSearch provider network, apply eligibility rules, return ranked explained optionsNo
get_resolutionRetrieve resolution with options, exclusions, and expiryNo
hold_scheduling_optionTemporarily hold a slot (2 min default, 10 min max)Application-defined
release_scheduling_optionRelease a held slotYes
confirm_scheduling_resolutionCreate the booking after customer approvalYes — requires approval
reschedule_bookingMove to a new approved slotYes — requires approval
cancel_bookingCancel a bookingYes — requires approval
get_bookingRetrieve booking detailsNo
list_professionalsList providers in the networkNo
get_slotsGet slots for a known providerNo

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

json
{  "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

bash
pip install orita-mcpORITA_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

Source: README.md at commit c2b7091

Tools

0
SourceWeft has not started this package in its sandbox yet, so its tools are not known.

Version history

1
  1. v0.1.1LatestSep 16, 2026

Score

50% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 days25 pts

    Keep the endpoint answering the MCP handshake; SourceWeft probes it every 30 days.

  • Auth declared10 pts

    Declare the credential headers in the registry entry, or keep the endpoint answering the probe so its auth can be classified.

  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts