Puter MCP
Puter MCP enables AI tools to interact with Puter: manage files, websites, workers, and more
Multi-agent coordination MCP: claim work, survey peers, resolve conflicts via a git branch as CAS.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
검사 2/3 통과 · 내 컴퓨터에서 실행돼요 · ✓ 명령 확인 2026년 11월 14일
먼저: 어떤 AI를 쓰시나요?
쓰는 앱을 고르면 아래에 단계가 나옵니다.
Claude에 연결할 수 있지만 먼저 준비가 필요해요
먼저 컴퓨터에 Python (uv)를 설치하세요 (한 번만) · 컴퓨터용 Claude 앱(Windows 또는 Mac)에서만 되고 웹이나 모바일은 안 돼요
SettingsDeveloperEdit Config
{
"mcpServers": {
"agentsync": {
"command": "uvx",
"args": [
"agentsync-mcp"
]
}
}
}agentsync을 써서 나에게 무엇을 해 줄 수 있는지 알려 주고, 하나 해 봐✓ Claude가 agentsync을 쓰고 있다고 하거나 답에 agentsync 도구 이름이 나오면 연결된 거예요
위 명령은 이 값들 없이도 동작합니다. 바꾸고 싶을 때만 제작자 설명대로 추가하세요.
AGENTSYNC_REPO Absolute path to the shared project git clone used for coordination.AGENTSYNC_AGENT_ID Your unique agent id, used to key your claims.AGENTSYNC_BRANCH The dedicated coordination branch (default: agentsync).설명은 아직 영어 원문입니다.
메뉴 이름은 2026년 11월 11일에 Anthropic 도움말에서 확인 · 앱 버전에 따라 화면이 조금 다를 수 있어요
ChatGPT는 아직 agentsync에 연결할 수 없어요
agentsync는 내 컴퓨터에 설치해서 쓰지만 ChatGPT는 웹에서 도는 서버만 연결할 수 있어요
A · agentsync에 연결되는 앱 쓰기
Claude Code에 연결할 수 있지만 먼저 준비가 필요해요
먼저 컴퓨터에 Python (uv)를 설치하세요 (한 번만)
Mac: Command+스페이스를 누르고 Terminal 입력 · Windows: PowerShell 열기
claude mcp add --scope user agentsync -- uvx agentsync-mcpagentsync이 목록에 있고 연결됨으로 보이면 돼요
agentsync을 써서 나에게 무엇을 해 줄 수 있는지 알려 주고, 하나 해 봐✓ Claude Code가 agentsync을 쓰고 있다고 하거나 답에 agentsync 도구 이름이 나오면 연결된 거예요
위 명령은 이 값들 없이도 동작합니다. 바꾸고 싶을 때만 제작자 설명대로 추가하세요.
AGENTSYNC_REPO Absolute path to the shared project git clone used for coordination.AGENTSYNC_AGENT_ID Your unique agent id, used to key your claims.AGENTSYNC_BRANCH The dedicated coordination branch (default: agentsync).설명은 아직 영어 원문입니다.
메뉴 이름은 2026년 11월 11일에 Anthropic 도움말에서 확인 · 앱 버전에 따라 화면이 조금 다를 수 있어요
Cursor에 연결할 수 있지만 먼저 준비가 필요해요
먼저 컴퓨터에 Python (uv)를 설치하세요 (한 번만)
agentsync을 써서 나에게 무엇을 해 줄 수 있는지 알려 주고, 하나 해 봐✓ Cursor가 agentsync을 쓰고 있다고 하거나 답에 agentsync 도구 이름이 나오면 연결된 거예요
위 명령은 이 값들 없이도 동작합니다. 바꾸고 싶을 때만 제작자 설명대로 추가하세요.
AGENTSYNC_REPO Absolute path to the shared project git clone used for coordination.AGENTSYNC_AGENT_ID Your unique agent id, used to key your claims.AGENTSYNC_BRANCH The dedicated coordination branch (default: agentsync).설명은 아직 영어 원문입니다.
메뉴 이름은 2026년 11월 11일에 Cursor 도움말에서 확인 · 앱 버전에 따라 화면이 조금 다를 수 있어요
VS Code에 연결할 수 있지만 먼저 준비가 필요해요
먼저 컴퓨터에 Python (uv)를 설치하세요 (한 번만)
agentsync을 써서 나에게 무엇을 해 줄 수 있는지 알려 주고, 하나 해 봐✓ VS Code가 agentsync을 쓰고 있다고 하거나 답에 agentsync 도구 이름이 나오면 연결된 거예요
위 명령은 이 값들 없이도 동작합니다. 바꾸고 싶을 때만 제작자 설명대로 추가하세요.
AGENTSYNC_REPO Absolute path to the shared project git clone used for coordination.AGENTSYNC_AGENT_ID Your unique agent id, used to key your claims.AGENTSYNC_BRANCH The dedicated coordination branch (default: agentsync).설명은 아직 영어 원문입니다.
메뉴 이름은 2026년 11월 11일에 VS Code 도움말에서 확인 · 앱 버전에 따라 화면이 조금 다를 수 있어요
Windsurf, Zed, Gemini CLI 같은 다른 MCP 앱은 추가 방법이 저마다 달라요. 앱 목록에서 확인하세요
JSON 설정은 아래 “개발자용”에 있어요
Claude Code
claude mcp add --scope user agentsync -- uvx agentsync-mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"agentsync": {
"command": "uvx",
"args": [
"agentsync-mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"agentsync": {
"command": "uvx",
"args": [
"agentsync-mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"agentsync": {
"type": "stdio",
"command": "uvx",
"args": [
"agentsync-mcp"
]
}
}
}AGENTSYNC_REPO envAGENTSYNC_AGENT_ID envAGENTSYNC_BRANCH env설명은 아직 영어 원문입니다.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
이 서버의 연결 방식과 각 앱의 공식 문서를 바탕으로 했어요. 2026년 11월 10일 확인.
내 컴퓨터에서 실행하는 앱
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
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 14일 점검
레지스트리 이름이 GitHub 계정 jarmstrong158 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
코드 마지막 변경: 3개월 전
GitHub가 라이선스 종류를 알아내지 못했어요. 파일을 열어 확인하세요
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
질문하고, 팁을 나누고, 안 되는 점을 알려 주세요. "도움이 됨"이 많은 순서예요.
아직 리뷰가 없어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 2개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 3개월 전 변경됐고, 최신 버전(0.2.0)은 3개월 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: Puter MCP, XcodeBuildMCP, XcodeBuildMCP
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Puter MCP enables AI tools to interact with Puter: manage files, websites, workers, and more
XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.
XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
An MCP server that lets two (or more) AI agents collaborate on the same git repository without stepping on each other. Each agent declares what it's building before it builds, sees what its partner has claimed, and detects conflicts when work lands — all coordinated through the repo itself, with no lock server and no requirement that both agents be online at once.
Coordination state is a single claims.json living on a dedicated agentsync branch (kept out of main, so it never pollutes your code history and isn't blocked by main's branch protection). Each agent's claim declares the work, the files it will touch, what it requires, its branch, and a status. Overlap is plain set intersection. Writes use a read-modify-write loop with git push as a compare-and-swap: if the push is rejected, the server re-fetches the latest claims and re-evaluates, so a colliding peer claim is *observed before* this agent's claim is committed. All git work happens in a private worktree under .git/, so your agent's actual code branch is never disturbed.
See DESIGN.md for the architecture rationale and AGENTS.md for the playbook your agent follows to drive the tools.
pip install -r requirements.txt # just `mcp`
For anything that talks to GitHub — provisioning a repo (provision), inviting a collaborator (add_collaborator), or opening a PR (finish) — you also need the GitHub CLI, authenticated with repo scope:
gh auth login # one-time; check with `gh auth status`
Both collaborators add the server to their MCP client, each with their own agent id and their own local clone. See mcp.config.example.json:
{
"mcpServers": { "agentsync": { "command": "python3", "args": ["/abs/path/to/agentsync_server.py"], "env": { "AGENTSYNC_BOARD_REPO": "/abs/path/to/the/clone/holding/the/board", "AGENTSYNC_AGENT_ID": "jonny" } } } }
| env var | required | default | meaning |
|---|---|---|---|
AGENTSYNC_BOARD_REPO | yes\* | — | path to the clone that holds the board |
AGENTSYNC_REPO | no | — | legacy alias for AGENTSYNC_BOARD_REPO |
AGENTSYNC_AGENT_ID | yes | — | your unique agent id |
AGENTSYNC_REMOTE | no | origin | git remote name |
AGENTSYNC_BRANCH | no | agentsync | coordination branch name |
AGENTSYNC_PARTNER_GITHUB | no | — | partner GitHub user(s) to invite (comma/space-separated) |
AGENTSYNC_STALE_HOURS | no | 24 | age after which an in-progress claim is flagged stale |
AGENTSYNC_GIT_TIMEOUT | no | 25 | seconds any single git/gh call may run before it fails fast |
The agentsync branch is created automatically on the first survey() or claim() call against an explicitly addressed board — no manual setup.
\* The board is a shared, long-lived team artifact, not a property of whichever repo you happen to be sitting in. So its address is resolved independently of the session, in this order:
~/.xylem/active_project.json).ls-remote), so this fallback can only ever select a repo that genuinely is a board.survey() reports the board it actually read under board: {repo, source}, so "the team is quiet" and "I am looking at the wrong board" are distinguishable.
Why this order. Previously an unpinned server followed the session pointer blindly. The board therefore changed identity whenever the session changed project, and in any project that had never been provisioned it simply disappeared — reported downstream as "no coordination branch found" and treated as normal. cambium's distill() applies this exact same resolution, so the two halves of the suite can never disagree about where the board is.
If the shared repo doesn't exist on GitHub yet, one person runs provision() once. Point AGENTSYNC_BOARD_REPO at the folder you want the project in (it can be empty or not yet created) and call:
provision(repo="you/our-project", partner_github="their-username")
This creates the GitHub repo (private by default), makes the first commit, seeds the agentsync coordination branch, and invites your partner as a push collaborator. It's idempotent — safe to re-run. Then send your partner the clone_url it returns; once they accept the invite and clone, both of you point the MCP server at your own clones and the normal protocol below takes over.
`provision(repo="", partner_github="", private=True, description="")` — one-time bootstrap when the shared repo doesn't exist yet. Creates the GitHub repo via gh, makes the first commit, seeds the agentsync branch, and invites the partner as a push collaborator. Idempotent. Returns the clone_url to hand your partner. (Needs the gh CLI authenticated with repo scope.)
`add_collaborator(github_username, permission="push")` — invite one or more people (comma/space-separated) to the existing shared repo so they can push (pull|triage|push|maintain|admin). Use this when the repo already exists and you just want to grant access — this is how you build a team of more than two. They must accept the GitHub invite, then clone. (Needs gh with admin on the repo.)
`survey()` — pull the latest state and report what every *other* agent has claimed: task, files, dependencies, branch, status, timestamp. Works for any number of collaborators. Each partner entry is annotated with age_hours and a stale flag (in-progress and older than AGENTSYNC_STALE_HOURS, default 24h), and a top-level stale_claims list — so you can spot a partner who crashed or walked away still holding files. Run it before planning and after finishing.
`claim(task, touches, requires=None, branch="", force=False)` — stake a unit of work. Refuses with status: "blocked" if your touches hits a partner's active files (you'd get in their way) or your requires hits their in-progress files (you'd build on unstable ground), returning exactly what overlaps and with whom. Overlap is path-aware: exact match, directory containment (src/api vs src/api/routes.py), and globs (src/**, *.py) all collide, and paths are normalized first (./auth.py == auth.py). The overlap is checked against freshly-fetched state immediately before the push. Pass force=True to claim anyway (e.g. same large file, disjoint regions). If your agent id already holds an in-progress claim written by a different server instance — another agent is live under the same id — claim() returns blocked with a shared_agent_id reason naming the task, branch and files that would be erased, because one id holds exactly one claim. Give each agent its own id; force=True overrides it for the legitimate case of a restarted server reclaiming its own slot, and then the result carries a warning listing the files that just lost their protection.
`release(note="")` — abandon your current claim without marking it done, freeing the files for a partner to take over. Use it when you drop a task or step away — otherwise a crashed/abandoned claim blocks those files until someone does manual git surgery. Pushes immediately.
`check_conflicts(against_branch="")` — after building, diff your branch against your partners' branches at two levels:
claim_overlap — declared-path intersection (intent, path-aware).merge_conflict — a real git merge-tree dry-run merge (textual). Catches collisions the claims didn't predict.Defaults to every branch named in an active peer claim; pass against_branch to check one specific branch.
`update_status(status, note="")` — set your own claim's status (planning | in-progress | done) and optionally leave a note for your partner. Pushes immediately. On done, the claim is auto-annotated with changed_files — your branch's diffstat vs the default branch — so your partner reconciles against real data, not just a hand-written summary. It is computed in the board repo, and a claim records a branch *name* with no repo qualifier, so changed_files_repo names the repo the diffstat actually came from: where you coordinate on a dedicated board repo, a same-named branch there will diff cleanly and produce a confidently wrong file list. Check the label before trusting the list. (To drop a claim without finishing it, use release().)
`finish(note="", title="", draft=False)` — close the loop: mark your claim done and open a GitHub pull request from your claimed branch into the default branch. Falls back to your claim's task/note for the PR title/body, and returns the existing PR's URL if one is already open. Your branch must be pushed. (Needs gh.)
`history(limit=20)` — the coordination timeline (who claimed, finished, or released what, and when) read from the git history of claims.json, newest first. Answers "what has my partner been up to?" even when they're offline.
provision(...) — once, only if the repo doesn't exist yet (then both clone)survey() — what's my partner working on, if anything?claim(...) — if blocked, narrow the slice or waitsurvey() again — where are they now?check_conflicts() — does their landed work collide with mine?update_status("done", ...) or finish(...) to also open a PRThe full prompt your agent should run is in AGENTS.md.
Nothing here is limited to two. claims.json is keyed by agent id, claim() checks your plan against *every* peer, and the compare-and-swap only ever edits your own key — so three, four, or more agents coordinate safely. To run a team:
add_collaborator("alice, bob, carol") (or list them in provision(partner_github=...)).claim() blocks rather than overwriting a live claim under your own id, but a unique id per agent avoids the collision entirely.This guard used to key on a per-process token, which meant it caught a restarted server and waved through a *concurrent session* -- one agentsync process serves every session on a machine, so two sessions shared the token and silently overwrote each other. It now keys on the work: a claim for a different task, while one is in progress under your id, is refused whatever process wrote it. Re-claiming the *same* task stays free, which is how you widen touches mid-unit. release(expect_task=...) covers the other direction, refusing to close a claim that is not the one you think you hold.