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Orita Provider Resolution MCP Server

by alkilo-do Your server? Claim it
local only

Orita Provider Resolution runs on your own machine — the client starts it, so there is no endpoint to ping. 111 installs a week from pypi. Last commit 31 Jul 2026.

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

Installs per day peak 38 · avg 19 · -35% w/w
a month agotoday
111
Installs / week
pypi · orita-mcp
0
Stars
0 open issues
31 Jul 2026
Last commit
from GitHub
MIT
License
Python

What the code does

We read the source, 6 d ago · rules 995398eba69f

Capabilities

What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.

Secret passed into the image build Dockerfile:6
# Environment variables (Glama / user will provide ORITA_API_KEY)
ENV ORITA_API_KEY=""

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.

Three servers free · no card

Connect this server

This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.

run in your terminal
claude mcp add orita-provider-resolution -e 'ORITA_API_KEY=<ORITA_API_KEY>' -- uvx orita-mcp
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "orita-provider-resolution": {
      "command": "uvx",
      "args": [
        "orita-mcp"
      ],
      "env": {
        "ORITA_API_KEY": "<ORITA_API_KEY>"
      }
    }
  }
}
~/.codex/config.toml
[mcp_servers.orita-provider-resolution]
command = "uvx"
args = ["orita-mcp"]
env = { ORITA_API_KEY = "<ORITA_API_KEY>" }
.cursor/mcp.json
{
  "mcpServers": {
    "orita-provider-resolution": {
      "command": "uvx",
      "args": [
        "orita-mcp"
      ],
      "env": {
        "ORITA_API_KEY": "<ORITA_API_KEY>"
      }
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "orita-provider-resolution": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "orita-mcp"
      ],
      "env": {
        "ORITA_API_KEY": "<ORITA_API_KEY>"
      }
    }
  }
}

Put your own value in place of <ORITA_API_KEY> (Orita API key — get one at orita.online/settings). The author’s registry entry marks it as required.

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Orita Provider Resolution — questions

Answers built from our own checks of this server.

Why is there no uptime for Orita Provider Resolution?
Orita Provider Resolution runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the pypi package orita-mcp was installed 111 times last week.
How do I connect Orita Provider Resolution?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls orita-mcp straight from pypi; nothing to host, nothing to sign up for.
How many people use Orita Provider Resolution?
The pypi package orita-mcp was installed 111 times in the last week. Week over week that is -35%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Orita Provider Resolution open source?
Yes — it is published under the MIT licence, written in Python and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.