Provider resolution for AI apps — search, rank, hold, confirm bookings across your provider network.
MCP server for the Orita Provider Resolution API — lets AI agents search a provider network, apply eligibility rules, resolve availability, and safely confirm bookings.
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.
resolve_scheduling → search provider network, return ranked options
hold_scheduling_option → temporarily reserve the selected slot
confirm_scheduling_resolution → confirm booking after customer approval
| Tool | Description | Modifies state? |
|---|---|---|
resolve_scheduling | Search provider network, apply eligibility rules, return ranked explained options | No |
get_resolution | Retrieve resolution with options, exclusions, and expiry | No |
hold_scheduling_option | Temporarily hold a slot (2 min default, 10 min max) | Application-defined |
release_scheduling_option | Release a held slot | Yes |
confirm_scheduling_resolution | Create the booking after customer approval | Yes — requires approval |
reschedule_booking | Move to a new approved slot | Yes — requires approval |
cancel_booking | Cancel a booking | Yes — requires approval |
get_booking | Retrieve booking details | No |
list_professionals | List providers in the network | No |
get_slots | Get slots for a known provider | No |
✓ 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:
{
"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.
pip install orita-mcp
ORITA_API_KEY=orita_... python -m orita_mcp
Free at orita.online/sign-up — no credit card. 50 active providers, 5,000 resolutions/month included on the free plan.
Source-derived launch command. Check the maintainer’s required arguments and credentials before running:
uvx orita-mcpMerge this template into ~/Library/Application Support/Claude/claude_desktop_config.json. Keep existing servers. Add any arguments, credentials, and permissions required by the maintainer; this template has not been install-tested.
{
"mcpServers": {
"io-github-alkilo-do-orita-provider-resolution": {
"command": "uvx",
"args": [
"orita-mcp"
]
}
}
}Restart Claude Desktop completely for changes to take effect. Confirm the server appears connected in the client’s tool list, then try a read-only example from its documentation.
Claude Desktop setup referenceorita-mcppypiio.github.Alkilo-do/orita-provider-resolution works with any MCP-compatible client. Copy the config snippet from the Configuration section above and add it to the file shown for your client, then restart the application.
~/Library/Application Support/Claude/claude_desktop_config.jsonRestart Claude Desktop completely for changes to take effect.~/.cursor/mcp.jsonRestart Cursor for changes to take effect..vscode/mcp.jsonReload VS Code window for changes to take effect.~/.codeium/windsurf/mcp_config.jsonRestart Windsurf for changes to take effect..mcp.jsonSave at the project root, then start Claude Code in that project and review the MCP server approval prompt. Keep real credentials out of shared files.