Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
제작자가 쓴 설명(영어 원문)
Task management for AI coding agents over MCP — board, CLI tools, plus UI annotation.
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.
필요한 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": {
"vibeflow": {
"command": "npx",
"args": [
"-y",
"@vibeflow-tools/cli",
"--project",
"your-value"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add vibeflow -- npx -y @vibeflow-tools/cli --project your-value이 서버는 실행 명령어에 값을 넣어야 해서, 설정을 복사한 뒤 직접 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"vibeflow": {
"command": "npx",
"args": [
"-y",
"@vibeflow-tools/cli",
"--project",
"your-value"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 실행 명령어에 값을 넣어야 해서, 설정을 복사한 뒤 직접 채워 주세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"vibeflow": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@vibeflow-tools/cli",
"--project",
"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 zorcec 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.
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 – 변경됐고, 최신 버전(0.26.0)은 그저께 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js도 있어야 해요.
같은 카테고리에는: Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Agent-Native Google Calendar - manage events, sync, and public booking
Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.
Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Task management for AI coding agents — with annotation and verification built in.
Vibeflow gives your coding agent sequenced, claimable work: tasks with hierarchy, an atomic --next claim, and a review gate with verification verdicts — on a local-first kanban board that stays in your repo. Clicking a UI element to file a ticket with its exact selector, URL, and source location is built in, so visual feedback arrives as structured tasks instead of prose.
▶ [Watch the full motion demo (MP4)](https://www.vibeflow.tools/assets/demo/showcase.mp4)
AI agents write code fast, but understanding what to change is slow. Describing a UI issue in prose wastes tokens and produces wrong fixes.
Vibeflow turns visual feedback into structured tasks:
Perfect for small UI fixes, broken layouts, spacing issues, and anything where pointing is faster than explaining.
Run it once with npx — nothing to install:
npx @vibeflow-tools/cli kanban
Or install it globally for day two. This adds the short alias vf:
npm install -g @vibeflow-tools/cli
vibeflow kanban # or: vf kanban
Requirements: Node.js >= 22. Apache-2.0 licensed. No account and no cloud — every task is a JSON file in your repo.
# 1. Start the local server and open the Kanban board
npx @vibeflow-tools/cli kanban
npx @vibeflow-tools/cli tasks --next
Drag tasks across the board — Backlog → Todo → In Progress → Review → Done. Drag a card to change its status and the board persists the new column and order, even after a reload. Tag, user and type filters keep their state while you move work, and every change is written straight to the task store — so the CLI and your agent see it immediately.
Break work into a parent / child tree — Turn an epic into child tasks that keep their own status, priority and history. Expand the tree inline on the card, or create children from the terminal with vibeflow tasks --add --title "..." --parent . The same hierarchy comes back from vibeflow tasks --get , so an agent can pick up a leaf without losing the parent.
Get the whole ticket in one panel — Open any card for the full ticket: status, description, tags, priority, author, relations (children and related tasks), an activity feed and file attachments. Changes save automatically, and pasting a screenshot or file anywhere in the panel attaches it to the task instead of your Downloads folder.
Vibeflow exposes its task tools over MCP, so an agent can read and update tickets directly. Configure one server per project: a server resolves its project root once at startup and every tool call uses that root, so it cannot write into the wrong project.
stdio (recommended — no port, nothing to keep running):
{
"mcpServers": { "vibeflow": { "command": "npx", "args": ["-y", "@vibeflow-tools/cli", "mcp", "--project", "/path/to/project"] } } }
--project is required: a spawned client's working directory (often your home directory) is never trusted, and the root is validated before anything is created. Put this config _with_ the project — .mcp.json at the repo root, or your editor's workspace config using ${workspaceFolder}.
HTTP (a server you keep running):
vibeflow serve --project ./my-project # MCP endpoint at /api/mcp
Loopback-only until you configure a token. Both transports mount the identical tool set; only the transport differs.
Do not run one global server with a per-call project argument — that is deliberately not supported. One process serves one root, resolved at startup.
A type:"Research" task is refused review with RESEARCH_REPORT_REQUIRED until a .md report is attached, and over MCP the way to do that is `attach_file` with a `.md` filename — the gate looks for a .md among a task's files, so the name is what counts. There is no --report-file equivalent on this surface; the CLI flag is named in the refusal's suggestion for CLI callers only. A Research task must not carry a verification verdict (RESEARCH_VERIFY_NOT_ALLOWED) — it has no annotated UI to verify.
A tool's result carries its payload as one JSON document in `content[0].text` — that holds for every tool-level success and every tool-level refusal. There are exactly two shapes that are not JSON: a *protocol-level* failure — arguments the tool's own schema rejects, or the name of a tool that does not exist — comes back as result.isError === true with content[0].text = MCP error -32602: … and no envelope to parse. So check isError first and parse the text as JSON only when it is absent.
Those two protocol-level failures are told apart by what the message names, not by the code — the SDK reports an unknown tool through the same input-validation path, so both carry -32602 even though JSON-RPC reserves -32601 for "method not found":
| what you sent | the message names | the remedy |
|---|---|---|
| arguments the tool's schema rejects | the offending field (… at title) | send that field, with the type the schema asks for |
| a tool name that does not exist | the tool | read tools/list; the name you sent is not one this server exposes |
-32602) — no vibeflow code, by designAn input the tool's own schema rejects (create_task with no title, attach_file with no contentB64, list_tasks with limit:-1) is refused by the MCP SDK's input validation, before any vibeflow handler runs. vibeflow therefore never sees the call and cannot attach a code or a suggestion to it. What arrives is:
result.isError === true
content[0].text = "MCP error -32602: Input validation error: Invalid arguments for tool create_task: Invalid input: expected string, received undefined at title"
Three properties, all deliberate and all load-bearing:
-32602 is the JSON-RPC *invalid params* code; it is not a member of vibeflow's vocabulary, and -32602 will never appear as a row there.… at title, … at contentB64) — the last word of the message is the field you got wrong.call_failed, for instance). That label belongs to the client, not to vibeflow: the same refusal is MCP error -32602 from a plain JSON-RPC client, and greping for one client's label in another's output is how a consumer concludes the behaviour differs when it does not.Recognise the class by its shape, not by any code string: a result with isError === true whose text carries an input-validation message naming a field. The remedy is always the same — send the field it names, with the type the schema asks for. An unknown tool is NOT a member of this class: it names no field, so the rule above does not match it, and its remedy is a different one (the table above). Keying on the code alone would put the two in one bucket and send the reader after an input field when the real mistake was the tool's name.
Because tools/list is the only place a client can read the contract *before* it fails, the input shapes publish a description for every field an agent commonly gets wrong — id on each task tool (most take a full id or a unique prefix), the setVerify/verifyReason pair, limit, contentB64, the comment body, and filename (its extension decides acceptance). Read them there; there is no second chance.
Three rules for the JSON case, all of them the CLI's own conventions:
{ok:false, error:{code, message, retryable, suggestion?}} — the same shape tasks --json writes to stderr, so one parser reads both surfaces. A tool-level refusal does not set isError; it is an ordinary result whose JSON is {ok:false, …}.error.suggestion is a non-empty string on every tool-level refusal — including the generic catch wrappers (LIST_TASKS_ERROR, GET_TASK_ERROR, CREATE_TASK_ERROR, UPDATE_TASK_ERROR, ADD_COMMENT_ERROR, ATTACH_FILE_ERROR, VERIFY_TASK_ERROR, PUSH_TASKS_ERROR, CLAIM_TASK_ERROR) — and it names both surfaces where the same gate is reachable: the MCP input or tool *and* the CLI flag. A shared gate's suggestion is read by the CLI and by MCP update_task alike, so a CLI-only suggestion is an answer an MCP client cannot act on. (verify_task is the one tool that returns the CLI verify engine's own codes — E_NOT_FOUND, E_NO_BASELINE, E_NO_SELECTOR and the rest. Those codes are unchanged; where the engine attaches no text of its own, the tool substitutes a generic recovery line rather than returning a code with nothing to act on.) The one class with no suggestion is the schema error above, which never reaches a handler.claim_next_task on an empty board — or with a valid filter that matched no task — is ok with a payload of null, not an error. A claim's payload is the Task itself, so an object means a task was claimed and `null` means there was nothing to claim; that is the same answer vibeflow tasks --next --json gives with task:null and exit 0. The dryRun preview answers the same way, so a preview cannot disagree with the real call. There is no NO_TASKS_AVAILABLE code.{code, message} objects and the *same* key the CLI puts on its --json success payloads. A notice is a non-fatal signal, not a synonym for partial success — branch on code, never on the array merely being present:| code | meaning |
|---|---|
DRY_RUN | this was a preview; nothing was written |
GIT_COMMIT_FAILED | the task was written, the commit did not happen |
GIT_COMMITTED | informational — the commit succeeded; message is the sha |
A dryRun:true preview carries notices:[{code:"DRY_RUN", message:"Task would be updated"}] (or the matching phrase — Task would be created / claimed, Comment would be added, File would be attached, Verification would run); a review transition carries GIT_COMMITTED with the sha when its auto-
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