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Orchestrator

by crAK1644version 0.12.0i★ –iRuns on your computer
Registry nameio.github.crAK1644/orchestrator-mcp

Install

Overview

Description from the maker (original English)

Let one coding-agent CLI consult another: Codex, Claude Code, OpenCode, Copilot or Antigravity.

PopNx MCP’s three pillars

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

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: Developer tools
  • You need to fill in: ORCHESTRATOR_HOST_RUNTIME, ORCHESTRATOR_CONFIG

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: ORCHESTRATOR_HOST_RUNTIME, ORCHESTRATOR_CONFIG

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

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": {
    "orchestrator": {
      "command": "uvx",
      "args": [
        "orchestrator-mcp-server"
      ],
      "env": {
        "ORCHESTRATOR_HOST_RUNTIME": "your-value",
        "ORCHESTRATOR_CONFIG": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add orchestrator --env ORCHESTRATOR_HOST_RUNTIME=your-value --env ORCHESTRATOR_CONFIG=your-value -- uvx orchestrator-mcp-server

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": {
    "orchestrator": {
      "command": "uvx",
      "args": [
        "orchestrator-mcp-server"
      ],
      "env": {
        "ORCHESTRATOR_HOST_RUNTIME": "your-value",
        "ORCHESTRATOR_CONFIG": "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": {
    "orchestrator": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "orchestrator-mcp-server"
      ],
      "env": {
        "ORCHESTRATOR_HOST_RUNTIME": "your-value",
        "ORCHESTRATOR_CONFIG": "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

  • ORCHESTRATOR_HOST_RUNTIME required env
    The coding agent this server runs inside, so work is never routed back to it
  • ORCHESTRATOR_CONFIG required env
    Path to the config `orchestrator-mcp-server init` writes, ~/.orchestrator-mcp/config.yaml by default

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 crAK1644, 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 Developer toolsi

  • More stars than 0% of the other 4928 servers in this category
  • Published to the registry more recently than 58% of the other 4928 servers in this category
  • Basic checks equal to or better than 100% of the other 4928 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 Orchestrator 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: ORCHESTRATOR_HOST_RUNTIME, ORCHESTRATOR_CONFIG

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 (0.12.0) reached the registry 31 days 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: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

Servers in the same category from other makers, sorted by stars.

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

GitHub

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

by githubWidely used★ 34.2KUpdated 5 days ago

Computer or cloud

Desktop Commander

MCP server for terminal commands, file operations, and process management

by wonderwhy-erWidely used↓ 709.6K/wk★ 10.2KUpdated 17 days ago

Runs on your computer

Cloudflare MCP

Cloudflare MCP servers

by cloudflareGrowing★ 4.4KUpdated 14 months ago

Runs in the cloud✓ mcp.cloudflare.com

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.

Orchestrator MCP

one agent. second opinion. same terminal.

Make Claude Code ask Codex. Make Codex ask Claude Code.

Use the subscriptions already signed in on your computer.

No provider API keys to configure.

See it · Compare · Install · What you get · Reviews · Workflow · Security · Dashboard


Orchestrator MCP is a local Model Context Protocol server that lets one coding agent consult another. It launches the Codex, Claude Code, OpenCode, GitHub Copilot, or experimental Antigravity CLI already installed and authenticated on your machine, routes the request, and returns a structured answer.

It does not ask for a provider key, proxy provider traffic, or silently switch models. Authentication remains inside each vendor's CLI.

Quick start from Claude Code, with Codex already logged in (other hosts: Install):

uv tool install orchestrator-mcp-server              # or pipx, pip, or brew

orchestrator-mcp-server init --host claude # writes ~/.orchestrator-mcp/config.yaml claude mcp add orchestrator \ --env ORCHESTRATOR_CONFIG=$HOME/.orchestrator-mcp/config.yaml \ --env ORCHESTRATOR_HOST_RUNTIME=claude -- orchestrator-mcp-server

Then ask Claude Code for a second opinion from Codex.

Before / After

Without Orchestrator With Orchestrator

  1. Copy the prompt, diff, and context.
  2. Open another coding agent.
  3. Recreate the task and paste everything.
  4. Bring the answer back.
  5. Repeat when you need a follow-up.
  1. Call orchestrator_consult.
  2. Get the other agent's structured answer.
  3. Reuse consultation_id for follow-ups.

The conversation stays connected from the same client.

Same subscriptions. Less context shuffling.

 Claude Code host  ──►  Orchestrator MCP  ──►  Codex CLI

Codex host ──► Orchestrator MCP ──► Claude Code CLI Any host ──► Orchestrator MCP ──► OpenCode CLI (DeepSeek, Qwen, Kimi…) Any host ──► Orchestrator MCP ──► GitHub Copilot CLI Any host ──► Orchestrator MCP ──► Antigravity CLI (experimental)

local routing no provider API keys no same-execution-identity loops

Ordinary orchestrator_consult calls exclude the host's entire runtime: Claude Code cannot use that tool to consult Claude Code, and Codex cannot use it to consult Codex. Reviews and workflows use the narrower (runtime, model) execution identity; when consult.host.model names the host precisely, they may route to a provably different, versioned model on the same runtime. The host can never route work back to its own execution identity.

How it compares

If Claude Code asking Codex is all you need, OpenAI's codex-plugin-cc does that, with background jobs. PAL MCP reaches many models through provider API keys. Orchestrator is for the rest:

Orchestrator MCPcodex-plugin-ccPAL MCP
DirectionEither way: Claude Code asks Codex, Codex asks Claude Code, and either asks OpenCode, GitHub Copilot or AntigravityClaude Code asks CodexAny MCP host asks API models; clink launches agent CLIs
CredentialsEach CLI's own login, no keysThe Codex CLI's loginProvider API keys (OpenRouter, Gemini, OpenAI, …)
ReviewA panel of reviewers from different vendors, answered in parallel, then one synthesisCodex review and adversarial reviewcodereview and multi-model consensus
Delegated editsIn a disposable worktree under an OS sandbox; the host applies the diff/codex:rescue hands the task to Codex—
RecordEvery turn in a local database, with cost estimates and a dashboardJob status and resultConversation threads across models

Calls block the turn that makes them, often for minutes. To keep working meanwhile in Claude Code, have a background subagent make the call.

Google's Gemini CLI stopped serving free and Google AI Pro/Ultra accounts on June 18, 2026; Google models are reached here through its successor, Antigravity CLI.

Install

Claude Code: install as a plugin. Needs uv on your PATH, and at least one of Codex, Antigravity, OpenCode or GitHub Copilot installed and logged in (step 1 below). What you consult them about — prompts, diffs, file contents — goes to those providers under your own logins, and the usage is billed to your accounts with them; see the privacy policy and the Security model. In Claude Code:

/plugin marketplace add crAK1644/orchestrator-mcp

/plugin install orchestrator-mcp@orchestrator-mcp /orchestrator-mcp:setup

/orchestrator-mcp:setup writes ~/.orchestrator-mcp/config.yaml from the agent CLIs it finds, then runs doctor on it. It finds Codex, Antigravity and GitHub Copilot; OpenCode goes into the config by hand, from its agent in config.example.yaml. Then reconnect plugin:orchestrator-mcp:orchestrator in /mcp, or restart Claude Code: /reload-plugins keeps the server that started without a config.

If you added the server earlier with claude mcp add orchestrator, remove that entry (claude mcp remove orchestrator -s , with the scope claude mcp get orchestrator shows), or two copies of the server run side by side.

Every other host, and Claude Code without the plugin, installs the server itself:

Homebrew:

brew tap crAK1644/tap

brew install orchestrator-mcp-server

Apple Silicon uses a prebuilt package. Intel macOS and Linux build dependencies from source; use the uvx option if you want a faster, temporary install.

uv, pipx or pip: uv tool install orchestrator-mcp-server, pipx install orchestrator-mcp-server, or pip install orchestrator-mcp-server into a virtualenv. Python 3.11 or newer.

1. Sign in to the agent CLIs

Sign in to each agent you want Orchestrator to use:

codex login

claude auth login

These are the normal Codex and Claude Code login flows. Orchestrator checks readiness, but never reads or stores their credentials.

For OpenCode, sign in once with opencode auth login for whichever provider you plan to consult. Hosted providers only — this server does not run a model on your machine. See the OpenCode runtime section below.

For GitHub Copilot, sign in to the copy of its state that Orchestrator runs it under, not to your own: COPILOT_HOME=$HOME/.orchestrator-mcp/copilot/home copilot login. init prints that command when it writes a Copilot agent, and a consultation that finds it signed out returns it in required_action. It needs a Copilot plan; see the GitHub Copilot runtime section below.

2. Write a starter config
orchestrator-mcp-server init --host claude   # or codex: the client you run it under

init finds the Codex, Claude Code, GitHub Copilot and Antigravity CLIs installed here, writes ~/.orchestrator-mcp/config.yaml (mode 0600, never over an existing file; --path picks another), and prints the exact line for step 3. It picks the best reviewer that is not the host. Copilot is scored below the others, so it is the reviewer only when it is the only CLI beside the host, and it comes last under deep_reviewers. Its agent is written on model: auto, the one model every plan serves, so the name cannot go stale, and init prints the sign-in command from step 1. It writes no workflow: block, because only you can choose the directories a workflow may work in, and no OpenCode agent, because its model names change too often for a template; add one by hand from config.example.yaml.

Or write it by hand

consult:

database_path: ~/.orchestrator-mcp/consultations.sqlite3 timeout_s: 180

agents: codex: runtime: codex command: codex model: gpt-5.6-sol priority: 10 web_search: true scores: { coding: 95, research: 90, reasoning: 95, review: 90 }

claude: runtime: claude command: claude model: claude-opus-5-5 priority: 10 web_search: true scores: { coding: 90, research: 95, writing: 95, review: 95 }

The key each agent is filed under is its id -- the name callers pass as target_agent, and the name the dashboard writes into URLs. It has to be lowercase, start with a letter or digit, and use only letters, digits, dots, dashes and underscores, up to 64 characters. Anything else is refused at startup with a message naming the key.

See config.example.yaml for a broader annotated configuration, an OpenCode agent, a GitHub Copilot agent, and an experimental Antigravity example.

3. Add the server to your MCP client

init printed this with your paths filled in.

Claude Code

claude mcp add orchestrator \

--env ORCHESTRATOR_CONFIG=$HOME/.orchestrator-mcp/config.yaml \ --env ORCHESTRATOR_HOST_RUNTIME=claude \ -- orchestrator-mcp-server

Codex

Add this to ~/.codex/config.toml:

[mcp_servers.orchestrator]

command = "orchestrator-mcp-server" env = { ORCHESTRATOR_CONFIG = "~/.orchestrator-mcp/config.yaml", ORCHESTRATOR_HOST_RUNTIME = "codex" }

Claude Desktop

Add this to claude_desktop_config.json (Settings → Developer → Edit Config), with the command that which orchestrator-mcp-server prints: Desktop does not read your shell's PATH.

{

"mcpServers": { "orchestrator": { "command": "/opt/homebrew/bin/orchestrator-mcp-server", "env": { "ORCHESTRATOR_CONFIG": "~/.orchestrator-mcp/config.yaml", "ORCHESTRATOR_HOST_RUNTIME": "claude" } } } }

VS Code, Cursor

VS Code reads .vscode/mcp.json in the workspace; Cursor reads ~/.cursor/mcp.json with the same entry under "mcpServers" instead of "servers".

{

"serv

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