GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
제작자가 쓴 설명(영어 원문)
Let one coding-agent CLI consult another: Codex, Claude Code, OpenCode, Copilot or Antigravity.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
ORCHESTRATOR_HOST_RUNTIME, ORCHESTRATOR_CONFIG필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"orchestrator": {
"command": "uvx",
"args": [
"orchestrator-mcp-server"
],
"env": {
"ORCHESTRATOR_HOST_RUNTIME": "your-value",
"ORCHESTRATOR_CONFIG": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add orchestrator --env ORCHESTRATOR_HOST_RUNTIME=your-value --env ORCHESTRATOR_CONFIG=your-value -- uvx orchestrator-mcp-server실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"orchestrator": {
"command": "uvx",
"args": [
"orchestrator-mcp-server"
],
"env": {
"ORCHESTRATOR_HOST_RUNTIME": "your-value",
"ORCHESTRATOR_CONFIG": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"orchestrator": {
"type": "stdio",
"command": "uvx",
"args": [
"orchestrator-mcp-server"
],
"env": {
"ORCHESTRATOR_HOST_RUNTIME": "your-value",
"ORCHESTRATOR_CONFIG": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 crAK1644 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
입력해야 할 값: ORCHESTRATOR_HOST_RUNTIME, ORCHESTRATOR_CONFIG
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.12.0)은 30일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: GitHub, Desktop Commander, Cloudflare MCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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.
Without Orchestrator With Orchestrator
orchestrator_consult.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.
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 MCP | codex-plugin-cc | PAL MCP | |
|---|---|---|---|
| Direction | Either way: Claude Code asks Codex, Codex asks Claude Code, and either asks OpenCode, GitHub Copilot or Antigravity | Claude Code asks Codex | Any MCP host asks API models; clink launches agent CLIs |
| Credentials | Each CLI's own login, no keys | The Codex CLI's login | Provider API keys (OpenRouter, Gemini, OpenAI, …) |
| Review | A panel of reviewers from different vendors, answered in parallel, then one synthesis | Codex review and adversarial review | codereview and multi-model consensus |
| Delegated edits | In a disposable worktree under an OS sandbox; the host applies the diff | /codex:rescue hands the task to Codex | — |
| Record | Every turn in a local database, with cost estimates and a dashboard | Job status and result | Conversation 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.
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.
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.
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.
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
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요