Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
제작자가 쓴 설명(영어 원문)
Task automation via SQLite, desktop Local API, or Mindwtr Cloud; read-only by default.
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.
MINDWTR_DB_PATH, MINDWTR_MCP_CLOUD_URL, MINDWTR_MCP_CLOUD_TOKEN, MINDWTR_MCP_API_URL, MINDWTR_MCP_API_TOKEN비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
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": {
"mindwtr": {
"command": "npx",
"args": [
"-y",
"mindwtr-mcp"
],
"env": {
"MINDWTR_DB_PATH": "your-value",
"MINDWTR_MCP_CLOUD_URL": "your-value",
"MINDWTR_MCP_CLOUD_TOKEN": "your-value",
"MINDWTR_MCP_API_URL": "your-value",
"MINDWTR_MCP_API_TOKEN": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add mindwtr --env MINDWTR_DB_PATH=your-value --env MINDWTR_MCP_CLOUD_URL=your-value --env MINDWTR_MCP_CLOUD_TOKEN=your-value --env MINDWTR_MCP_API_URL=your-value --env MINDWTR_MCP_API_TOKEN=your-value -- npx -y mindwtr-mcp실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"mindwtr": {
"command": "npx",
"args": [
"-y",
"mindwtr-mcp"
],
"env": {
"MINDWTR_DB_PATH": "your-value",
"MINDWTR_MCP_CLOUD_URL": "your-value",
"MINDWTR_MCP_CLOUD_TOKEN": "your-value",
"MINDWTR_MCP_API_URL": "your-value",
"MINDWTR_MCP_API_TOKEN": "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": {
"mindwtr": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mindwtr-mcp"
],
"env": {
"MINDWTR_DB_PATH": "your-value",
"MINDWTR_MCP_CLOUD_URL": "your-value",
"MINDWTR_MCP_CLOUD_TOKEN": "your-value",
"MINDWTR_MCP_API_URL": "your-value",
"MINDWTR_MCP_API_TOKEN": "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.
MINDWTR_DB_PATH envMINDWTR_MCP_CLOUD_URL envMINDWTR_MCP_API_URL env이 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 dongdongbh 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: MINDWTR_MCP_CLOUD_TOKEN, MINDWTR_MCP_API_TOKEN
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(1.1.14)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.
MCP server for Mindwtr. Connect MCP clients (Claude Desktop, etc.) to your local SQLite database, the desktop Local API, or a self-hosted Mindwtr Cloud endpoint.
By default this is a stdio server: MCP clients launch it as a subprocess and talk over JSON-RPC on stdin/stdout. It also has an opt-in HTTP transport (see Remote access (HTTP)) for self-hosters who want to expose it at a URL instead.
The desktop app includes a built-in MCP server in Settings → Integrations → Local MCP server (advanced). It requires no separately installed runtime or helper. The desktop installer does not add a standalone mindwtr-mcp command to your PATH; mobile apps do not host MCP.
You do not need to run the whole app from source to use MCP. You can use the normal desktop app binary for your tasks, then run this separate MCP helper from the repository with Bun, or build the helper once and run it with Node. Point the helper at the desktop app's local mindwtr.db, or use the Local API backend below.
On desktop, find the database in the default database locations listed under Requirements. Mobile binaries do not expose a local MCP server surface.
These requirements apply to the standalone helper, not the built-in desktop server.
--omit=optional. If no prebuilt binary is available for your platform, npm needs a working C/C++ build toolchain and Python for node-gyp.mindwtr.db) for SQLite mode, a running desktop Local API and bearer token for API mode, or a self-hosted Mindwtr Cloud URL and bearer token for Cloud modeFor SQLite mode with npm 12, approve the SQLite dependency's install script; otherwise a successful install can still fail at startup with a missing native binding. For npx or global installs, allow only better-sqlite3:
npx --allow-scripts=better-sqlite3 -y mindwtr-mcp --db "/path/to/mindwtr.db"
npm install -g --allow-scripts=better-sqlite3 mindwtr-mcp
In MCP client configurations using npx, add "--allow-scripts=better-sqlite3" before "mindwtr-mcp" in args. For an existing project-local install, run npm install-scripts approve better-sqlite3, then npm rebuild better-sqlite3 from that project. Review the dependency before approving; do not enable all dependency scripts.
Default database locations. The installed Windows and macOS apps keep the database in a data subfolder from version 1.3.2 on; Linux and the portable builds are unchanged. The server looks in both places, so it finds the database either way.
~/.local/share/mindwtr/mindwtr.db (Flatpak: ~/.var/app/tech.dongdongbh.mindwtr/data/mindwtr/mindwtr.db; Snap: ~/snap/mindwtr/current/.local/share/mindwtr/mindwtr.db)~/Library/Application Support/mindwtr/data/mindwtr.db~/Library/Application Support/mindwtr/mindwtr.db%APPDATA%\mindwtr\data\mindwtr.db%APPDATA%\mindwtr\mindwtr.dbAdditional macOS paths for sandboxed builds:
~/Library/Containers/tech.dongdongbh.mindwtr/Data/Library/Application Support/mindwtr/data/mindwtr.db~/Library/Containers/tech.dongdongbh.mindwtr/Data/Library/Application Support/mindwtr/mindwtr.dbA --db path pinned in an MCP client configuration keeps working across that move: if the file is not at the configured path, the server checks the matching data subfolder (or the parent folder) and reports on stderr which database it opened.
If mindwtr.db is missing but data.json exists in the same desktop data folder, the MCP server will bootstrap a fresh SQLite database from that local data snapshot on first start. The desktop data folder is the folder that holds mindwtr.db in the default locations above.
You can override local mode with:
--db /path/to/mindwtr.dbMINDWTR_DB_PATH=/path/to/mindwtr.dbMINDWTR_DB=/path/to/mindwtr.dbFor self-hosted Cloud mode, use:
--cloud-url https://mindwtr.example.com or MINDWTR_MCP_CLOUD_URL--cloud-token or MINDWTR_MCP_CLOUD_TOKEN--cloud-allow-insecure-http=true for trusted private HTTP deploymentsAfter installing the published package, run it directly:
mindwtr-mcp --db "/path/to/mindwtr.db"
Or let an MCP client launch it through npx:
{
"mcpServers": { "mindwtr": { "command": "npx", "args": [ "-y", "mindwtr-mcp", "--db", "~/.local/share/mindwtr/mindwtr.db" ] } } }
The npm package is read-only by default. Add --write only when you explicitly want add/update/complete/delete tools enabled.
Requires mindwtr-mcp 1.1.11 or later.
Enable the desktop app's Local API in Settings and copy its bearer token. Keep the app and API running. This backend uses the app's REST endpoints and never opens a database or falls back to SQLite.
For an API-only installation, omit the optional native SQLite addon:
npm install -g --omit=optional mindwtr-mcp
Configure your MCP client to pass the token through its environment, rather than putting it in command-line arguments:
{
"command": "mindwtr-mcp", "args": ["--api-url", "http://127.0.0.1:3456"], "env": { "MINDWTR_MCP_API_TOKEN": " " } }
Use the port shown in Settings. MINDWTR_MCP_API_URL can replace --api-url. URLs must use literal 127.0.0.1 or [::1], with no credentials, path, query or fragment; redirects are refused. Do not combine API and Cloud/--db options. Existing database-path environment variables are ignored in API mode.
Writes remain disabled unless explicitly enabled with --write. If the app is closed or the token is invalid, the helper returns an error. A timed-out write may have reached the app: inspect the task before retrying, as the helper does not retry writes automatically.
Desktop 1.3.8 adds optional protection for task creation and edits in Local API mode:
mindwtr_add_task accepts idempotencyKey, 1–128 visible ASCII characters without spaces. Keep the same key and identical input when retrying an uncertain create, including attachment links. The desktop retains the original result for seven days, even if that task is later edited or deleted. Different input with the same key returns idempotency_conflict. A full receipt store returns idempotency_capacity; retry later with the same key and input.mindwtr_get_task, task creation, and task edits return { "task": { ... }, "version": "sha256-..." }. Pass the version unchanged as expectedVersion to mindwtr_update_task. A stale edit returns task_version_conflict; read the task again and review the changes before retrying. An edit that changes nothing preserves the version.Both arguments are optional. Without them, writes keep their existing behavior. Protected requests use versioned desktop endpoints and fail on older desktop versions without falling back to an unprotected write. Older desktop reads can omit version. These arguments are unavailable in Cloud and direct SQLite mode; unsupported task input fields are rejected. Attachment replacement and lifecycle restrictions below still apply.
| MCP capability | Desktop Local API support |
|---|---|
| List/get tasks | Supported, including rich search operators, date filters, sorting and pagination |
| Create tasks | Explicit title and fields; quickAdd is unavailable |
| Update/complete/delete/restore tasks | Supported through the API's corresponding endpoints; terminal status changes cannot be submitted as ordinary edits |
| List/get/create/update/delete projects | Supported for the API's basic project fields: title, color, status, Area and sequential behavior |
| List areas | Supported |
| View section catalogue and project assignments | Unavailable; task assignments by known ID are supported |
| Sections, managed people, Area writes | Unavailable; these tools are hidden in API mode |
GTD availability view | Unavailable because the API does not expose the required section snapshot |
| Replacing attachment links | Unavailable because the API does not provide conditional attachment updates |
Other unsupported fields are rejected before a write. The desktop API's recurrence limitations also apply; some recurring completions must be performed in the app. This backend does not promise full SQLite/Cloud tool parity.
--api-url selects the helper's data source. --http instead selects how an MCP client connects to the helper; it can be used with any backend and has a separate authentication token.
Use Cloud mode when you run your own Mindwtr Cloud server and want MCP tools without pointing the helper at a local SQLite database:
npx -y mindwtr-mcp \
--cloud-url "https://mindwtr.example.com" \ --cloud-token "$MINDWTR_TOKEN"
Or pass the same values through environment variables:
MINDWTR_MCP_CLOUD_URL="https://mindwtr.example.com" \
MINDWTR_MCP_CLOUD_TOKEN="$MINDWTR_TOKEN" \ npx -y mindwtr-mcp
Cloud mode uses the self-hosted Cloud API. Reads come from the current /v1/data snapshot; with --write, task/project/section/area writes go through the Cloud server's per-resource REST endpoints (POST /v1/tasks, PATCH /v1/tasks/:id, and so on), so they get the same validation and revision stamping as any other client. Without --write, write tools return read_only. Person edits and restoring deleted tasks are not available in Cloud mode yet.
This does not make Mindwtr Cloud itself a hosted MCP server. It is still the same stdio helper, backed by a Cloud URL that you operate.
For private HTTP test deployments, local/private HTTP URLs are allowed by the shared Cloud client rules. Use --cloud-allow-insecure-http=true only for a self-hosted endpoint you intentionally trust.
By default mindwtr-mcp only speaks stdio. Pass --http to also (instead of stdio) serve a stateless streamable-HTTP MCP endpoint, so you can point a remote MCP client at a URL — the motivating case is Gemini Spark "custom apps", which take an MCP server URL. HTTP mode works with all three backends.
mindwtr-mcp --http --http-token "$(openssl rand -hex 32)" --db "/path/to/mindwtr.db"
Flags (all have MINDWTR_MCP_HTTP* env var equivalents):
--http / MINDWTR_MCP_HTTP — enable HTTP mode. Also implied by setting --http-host, --http-port, or --http-token.--http-token / MINDWTR_MCP_HTTP_TOKEN — required whenever HTTP mode is on, at least 16 characters. Generate one with openssl rand -hex 32. The server refuses to start without it — there is no way to expose HTTP mode unauthenticated, even on loopback.--http-host / MINDWTR_MCP_HTTP_HOST — bind address, default 127.0.0.1.--http-port / MINDWTR_MCP_HTTP_PORT — bind port, default 8722.The desktop app's built-in MCP server also uses port 8722. If it is on, pass another port with --http-port, for example --http-port 8723.
The MCP endpoint is POST /mcp and requires Authorization: Bearer on every request; GET /healthz returns 200 ok without auth for reverse-proxy health checks. Requests without a valid token get 401; repeated authentication failures get 429 with a Retry-After header. Bodies over 1 MiB get 413. When HTTP mode is on, the server does not also connect a stdio transport — it
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요