Teammate

Let Claude Code and OpenAI Codex panes talk to each other — by label, by iTerm session name, or by session id. N agents, M agents, mix-and-match. No daemon. No .config per project.

┌──────────── iTerm window ─────────────┐
│ claude  (left)        codex  (right)  │
│ ───────────────────   ─────────────── │
│ > implement quoter    > [teammate-mcp │
│   I'll ask Codex...     ASK ... what  │
│   ⏺ Codex answered:     is 2+2?]      │
│      4                  • 4           │
└───────────────────────────────────────┘

teammate-mcp is a tiny MCP server that gives every loaded CLI a small toolbox:

• ask(target, question, timeout) — primary. target is a label, an iTerm session name, or a session-id prefix.
• list_panes() — every live pane + its label/name/id/job/cwd.
• register_self(label) — attach a label to the calling pane at runtime.
• broadcast(message, targets=[...]) — push to multiple panes at once.
• ask_codex / ask_claude — legacy 1:1 shortcuts; still work when exactly one of each CLI is running.

The server uses the iTerm2 Python API to push the prompt into the target pane and read the reply back via a unique marker (<<DONE_…>>).

Why?

Existing multi-agent harnesses fall into two camps:

1. Heavyweight: a daemon, per-project config files, opaque session state. Great until something breaks at 2 AM and you can't see why.
2. Single-process: one model orchestrating sub-agents internally, so the user only sees the final answer.

teammate-mcp aims for a third option: the two agents are visibly running in your terminal next to each other, you can read both transcripts in real time, and the only "infrastructure" is a few hundred lines of Python that pushes text and reads screens.

Verified bidirectional round trip

Captured live during development on macOS 14, iTerm 3.6.8, Claude Code 2.1.119 + Opus 4.7, Codex 0.125.0:

{"event":"ask.enqueue","id":"…c5d085","from_":"claude","to":"codex","len":49}
{"event":"ask.send",   "id":"…c5d085","to":"codex","session_id":"7E39032F-…"}
{"event":"ask.complete","id":"…c5d085","answer_len":3}

The ask.send → ask.complete interval was 3.0 seconds for a prompt of "What is two plus two? Answer with the digit only" — the bulk of which is Codex thinking time, not the bridge. Five consecutive runs all closed the loop in 1.5 – 4.5 seconds.

Six independent timing reports captured in tests/results/ are included in the repo so you can audit the numbers yourself.

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Quick start

1. Install

git clone https://github.com/jonghklee/teammate-mcp.git
cd teammate-mcp
uv venv
uv pip install -e .

2. Register the server with both CLIs

# Claude Code
claude mcp add teammate -s user -- $PWD/.venv/bin/teammate-mcp serve

# Codex
codex  mcp add teammate           -- $PWD/.venv/bin/teammate-mcp serve

3. Open the panes

You have two options:

Option A — let bin/team open a fresh iTerm window for you:

./bin/team

Option B — use any iTerm window you already have open. Just run claude in one pane and codex in another. teammate-mcp finds them by process name; no labels needed.

4. (One-time) Hand the agents the operating rules

Drop templates/AGENTS.md into your project root. Both Claude Code and Codex will pick it up automatically (it's the convention they both follow). The file tells them how and when to call each other.

5. (Optional) Add per-pane labels for N:M setups

For more than one agent of either type, label each pane before launching its CLI:

# pane 1
export TEAMMATE_LABEL=plan
claude

# pane 2
export TEAMMATE_LABEL=worker
codex

# pane 3
export TEAMMATE_LABEL=tester
codex --yolo

The MCP server auto-registers each pane to its label on startup. Then from any pane:

ask("worker",  "implement foo()")
ask("tester",  "write tests for foo()")
ask("plan",    "review this design")    # from worker, asking back

You can also address a pane by the iTerm session name (cmd+I) or by any prefix of its UUID — ask("Worker A", …) or ask("7B5B0D11", …).

6. (Optional) Show the label in your status bar

./bin/install-statusline

Adds a statusLine block to ~/.claude/settings.json and a precmd hook to ~/.zshrc that updates the iTerm tab title from $TEAMMATE_LABEL. Both Claude (native statusLine) and Codex (tab title) show the label visibly. Idempotent; backs up your existing settings.

7. Try it

In the Claude pane:

Ask the worker pane what timezone library it prefers in Python.

You'll see Claude call ask, the question appear in the worker pane, Codex respond there, and Claude relay the answer.

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How it works

┌──────────────────────────────────────────────────────┐
│  Claude pane              Codex pane                  │
│  ─────────────            ─────────────               │
│   user prompt              [teammate-mcp ASK …]       │
│        │ tool call              ▲                     │
│        ▼                        │ async_send_text     │
│  ┌──────────────┐               │                     │
│  │ teammate-mcp │  ─────────────┘                     │
│  │  (FastMCP)   │  ◄────── async_get_screen_contents  │
│  └──────────────┘                                     │
│        │                                              │
│        └─► returns extracted answer to Claude         │
└──────────────────────────────────────────────────────┘

For each ask_codex (or ask_claude) call:

1. Generate a unique marker, enqueue the message in the on-disk queue (pending/ → inflight/ atomic rename).
2. Locate the target pane:
   • prefer TEAMMATE_<UPPER>_SESSION_ID env override
   • otherwise enumerate all live processes (ps-style), find any claude or codex process, read its TERM_SESSION_ID env var, and match that against iTerm's session list. This works through tmux, login shells, and pyenv wrappers — anywhere the environment variable is inherited.
   • fall back to jobName / commandLine matching with cwd preference.
3. async_send_text the prompt + a request to terminate the reply with the marker.
4. Poll async_get_screen_contents for the marker. Because the prompt we typed contains the marker text (it gets echoed in the pane), the server requires the marker to appear twice before treating the reply as complete.
5. Slice the answer between the two marker occurrences, log ask.complete, return the answer to the caller.

What "no config" actually means

There is exactly one thing to configure (once): the MCP registration in step 2 above. After that, any iTerm window with claude+codex panes just works — including windows that were already open before you installed teammate-mcp.

You never write a .teammate.toml, you never teammate start, you never have to remember which session id is which.

Testing

uv pip install -e ".[dev]"
pytest                              # 18 unit + integration tests
python scripts/auto_demo.py         # full end-to-end demo (spawns iTerm)

The unit tests cover the queue, ANSI/marker handling, server module import, and the iTerm session-discovery logic with mocks. The end-to-end demo opens a real iTerm window and exercises a Claude → Codex → Claude round trip; it requires both CLIs to be logged in and will incur their normal API charges.

Per-run timing reports are written to tests/results/*.jsonl. The ones already committed to the repo are real, not synthetic.

Troubleshooting

"iTerm Python API is not enabled" — Settings → General → Magic → "Enable Python API" ✓. The first time teammate-mcp connects, iTerm also prompts for permission; click Allow.

"asyncio.run() cannot be called from a running event loop" — you're on a teammate-mcp older than 0.1.0. Pull main; the tools are now declared async.

"Tool returned an answer that's just my own prompt echo" — the prompt-target pane is running the wrong CLI (e.g., the lookup picked a sibling pane that had the same process running). Pin the pane explicitly:

export TEAMMATE_CLAUDE_SESSION_ID=<unique id from iTerm>
export TEAMMATE_CODEX_SESSION_ID=<unique id from iTerm>

(You can read each pane's unique id from Window menu → Window Settings → Identifier, or via AppleScript.)

"Marker not detected within timeout" — the agent on the other end forgot to emit <<DONE_…>>. Add an explicit reminder in your AGENTS.md. The bundled template already includes this.

License

MIT — see LICENSE.

Acknowledgments

This project crystallised from conversations on top of public research into how Claude Code and Codex are being run in 2026:

• Anthropic's Plan-Generate-Verify and Initializer + Coding Agent harness papers (Rajasekaran 2026-03; Justin Young 2025-11).
• IndyDevDan's claude-code-hooks-mastery for the observability patterns.
• OthmanAdi's planning-with-files for the "structured files bridge sessions, not chat history" idea.
• Boris Cherny's "verification loop" rule from his How I use Claude Code thread.
• Geoffrey Huntley's Ralph Wiggum loop for the "fresh context per turn" intuition.

The implementation owes its iTerm Python API patterns to the iTerm2 docs at https://iterm2.com/python-api/.

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한국어 요약

CCB 같은 사전 설정 없이 claude / codex가 서로에게 질문할 수 있게 해주는 작은 MCP 서버입니다.

• iTerm 두 페인에 그냥 claude와 codex를 띄우기만 하면 됩니다. 라벨도, config도, daemon도 없습니다.
• iTerm Python API로 상대 페인을 자동 탐지(실행 프로세스 + 환경변수 TERM_SESSION_ID 매칭)합니다 — tmux 안에서 띄워도 작동합니다.
• 메시지는 push, 응답은 polling으로 받고, 모든 round trip은 ~/.teammate-mcp/logs/<날짜>.jsonl에 기록됩니다.
• 실측 round-trip 시간: 2 + 2 = 4 질문 기준 send → complete 3.0초 (대부분 Codex thinking 시간).

설치는 위 영문 Quick start 1~3단계, 사용법은 그냥 평소처럼 Claude에게 "Codex에게 물어봐"라고 시키면 됩니다.