Orita Provider Resolution

Name: Orita Provider Resolution
Author: Alkilo-do

by Alkilo-doversion 0.1.1i★ –iRuns on your computer

Registry nameio.github.Alkilo-do/orita-provider-resolution

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory
You need to fill in: ORITA_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: ORITA_API_KEY

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

PyPIPython’s uv installed (for the uvx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "orita-provider-resolution": {
      "command": "uvx",
      "args": [
        "orita-mcp"
      ],
      "env": {
        "ORITA_API_KEY": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add orita-provider-resolution --env ORITA_API_KEY=your-value -- uvx orita-mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "orita-provider-resolution": {
      "command": "uvx",
      "args": [
        "orita-mcp"
      ],
      "env": {
        "ORITA_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "orita-provider-resolution": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "orita-mcp"
      ],
      "env": {
        "ORITA_API_KEY": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

ORITA_API_KEY secret required env
Orita API key — get one at orita.online/settings

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account Alkilo-do, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Search & AI memoryi

More stars than 0% of the other 5666 servers in this category
Published to the registry more recently than 27% of the other 5666 servers in this category
Basic checks equal to or better than 100% of the other 5666 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Orita Provider Resolution safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: ORITA_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.1) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday

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Codebase Memory

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Runs on your computer★ 48,148MITUpdated 21 days ago

Install

Exa

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Connect AI agents to Exa for web search, content fetching, and multi-step research.

Runs in the cloud★ 5,213MITUpdated 2 months ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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.

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

"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.

Orita Provider Resolution

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

orita-mcp

What this does

Primary workflow

Tools

Agent safety

Connect via remote server

Install via PyPI

Get an API key

Resources