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MCP server for the Orita scheduling API — let AI agents book, query and cancel appointments

MCP ServersOfficial Registry0 stars0 forksPythonMITUpdated today
Install in Claude Code / Claude Desktop
Method: pip / Python · orita-mcp
Claude Code CLI
claude mcp add orita-mcp -- python -m orita-mcp
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "orita-mcp": {
      "command": "python",
      "args": ["-m", "orita_mcp"],
      "env": {
        "ORITA_API_KEY": "<orita_api_key>"
      }
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Install first: pip install orita-mcp
Detected environment variables
ORITA_API_KEY
Use cases

MCP Servers overview

# orita-mcp

<!-- mcp-name: io.github.Alkilo-do/orita-provider-resolution -->

> MCP server for the [Orita Provider Resolution API](https://orita.online) — lets AI agents search a provider network, apply eligibility rules, resolve availability, and safely confirm bookings.

[![PyPI](https://img.shields.io/pypi/v/orita-mcp)](https://pypi.org/project/orita-mcp/)
[![MCP Registry](https://img.shields.io/badge/MCP_Registry-listed-teal)](https://registry.modelcontextprotocol.io)
[![License: MIT](https://img.shields.io/badge/License-MIT-blue.svg)](LICENSE)

## 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 options
hold_scheduling_option      → temporarily reserve the selected slot
confirm_scheduling_resolution → confirm booking after customer approval
```

## Tools

| 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 |

## 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-mcp
ORITA_API_KEY=orita_... python -m orita_mcp
```

## Get an API key

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

## Resources

- [Developer docs](https://orita.online/developers)
- [MCP documentation](https://orita.online/developers/mcp.md)
- [API reference](https://orita.online/developers/reference)
- [OpenAPI spec](https://orita.online/openapi.json)
- [Node.js SDK](https://github.com/Alkilo-do/orita-node)
- [Python SDK](https://github.com/Alkilo-do/orita-python)
ai-agentsmcpmodel-context-protocoloritascheduling

What people ask about orita-mcp

What is Alkilo-do/orita-mcp?

+

Alkilo-do/orita-mcp is mcp servers for the Claude AI ecosystem. MCP server for the Orita scheduling API — let AI agents book, query and cancel appointments It has 0 GitHub stars and was last updated today.

How do I install orita-mcp?

+

You can install orita-mcp by cloning the repository (https://github.com/Alkilo-do/orita-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is Alkilo-do/orita-mcp safe to use?

+

Alkilo-do/orita-mcp has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.

Who maintains Alkilo-do/orita-mcp?

+

Alkilo-do/orita-mcp is maintained by Alkilo-do. The last recorded GitHub activity is from today, with 0 open issues.

Are there alternatives to orita-mcp?

+

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.

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