
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
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.
Installation
In SourceWeft
- Open Orita Provider Resolution in the dashboard and add it to a workspace.
- 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
Tools
Agent safety
Never call confirm_scheduling_resolution until the customer has explicitly approved:
- Provider name
- Service
- Date and time
- Timezone
- Cancellation policy
Connect via remote server
Note: Requests must include
Accept: application/json, text/event-stream. MCP-compatible clients send this automatically.
Install via PyPI
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
0Version history
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