Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
제작자가 쓴 설명(영어 원문)
Ask which agent skills fit a task before you start it: picks from a vetted skill catalogue.
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": {
"the-cartographer": {
"command": "uvx",
"args": [
"the-cartographer",
"mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add the-cartographer -- uvx the-cartographer mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"the-cartographer": {
"command": "uvx",
"args": [
"the-cartographer",
"mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"the-cartographer": {
"type": "stdio",
"command": "uvx",
"args": [
"the-cartographer",
"mcp"
]
}
}
}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 8일 점검
레지스트리 이름이 GitHub 계정 sheepk95 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(0.1.0)은 10일 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: 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.
Ask which agent skills fit a task before you start it.
For people whose agent has more skills than it can keep in mind. Agents that use skills (SKILL.md folders, as in Claude Code and Codex) get worse as the pile grows: either every description sits in the context on every turn, or the agent guesses from names and opens the wrong ones. The Cartographer is one model call instead. It maps a short brief of the task against your whole skill library and points to the few skills worth reading first. "None" is a valid answer.
Your own skills are the point: it reads the skill folders you already have. The 193 bundled skills are a starter library.
Try it (needs uv, plus a Claude Code or Codex login; with a Claude API key instead, run uvx --from "the-cartographer[api]" the-cartographer ask "..."):
uvx the-cartographer ask "Add property-based tests for our Python date-parsing module"
In Claude Code 2.1.275 or later, the plugin asks it for you at the start of each task (needs uv): /plugin install the-cartographer --marketplace sheepk95/The-Cartographer. Other installs: Quick start.
$ cartographer ask "Add property-based tests for our Python date-parsing module, and check the existing tests actually catch bugs."
PICKS:
MAYBE:
ALSO GREP: python mutmut hypothesis NOTE: No Python-specific mutation tool skill in catalogue; test-gap-analysis covers the "do tests catch bugs" part by manual pseudo-mutation. --- end of cartographer answer ---
That is a real run: Claude Code backend, Sonnet, 8.4 seconds, the 193-skill bundled catalogue (paths shortened here). The second pick comes from a .NET skill set but is written for any language, and the NOTE says plainly what the catalogue lacks. The animation above is a separate real run of the same task with Haiku, which picked a different second skill: answers vary a little by model.
When the catalogue lacks something, cartographer find looks for it on skills.sh, and cartographer install checks a find's licence and files before it goes into your skills folder (details).
flowchart LR
A["Agent starts a task"] -->|"2-10 line brief"| Q["cartographer ask or the ask_cartographer MCP tool"] S[("Bundled skills
sorted, no dates, cacheable"] C --> M{{"One model call anthropic / claude / codex / command"}} Q --> M M --> K["Check every name and path against the catalogue"] K --> R["PICKS / MAYBE / ALSO GREP / NOTE"] R --> A2["Agent reads the picked SKILL.md files"] M -.->|"no backend, timeout, bad answer"| U["exit 3: CARTOGRAPHER_UNAVAILABLE fall back to cartographer search"]
PICKS: none as a good answer. Agents open every skill they are given, so a wrong pick costs real context.PICKS: none.anthropic backend it sits in a 1-hour prompt cache: repeat asks read it at the cached-input price and pay full price only for the brief and the answer.CARTOGRAPHER_UNAVAILABLE (reason), and the agent falls back to offline keyword search.cartographer find searches skills.sh politely and without a model; cartographer install vets a find (licence, files, provenance) and never runs it.Needs Python 3.9+ and one way to reach a model: a Claude API key, Claude Code, Codex, or a local command. Install it one of these ways (the bundled skills come with the package):
pipx install the-cartographer # or: uv tool install the-cartographer
pip install the-cartographer # into the current environment; with a Claude API key: pip install "the-cartographer[api]" uvx the-cartographer doctor # run it once without installing (uv); any command works: uvx the-cartographer ask "..."
Then:
cartographer doctor # skills found, catalogue size, which backends are ready
cartographer ask "Build a Three.js scene with a rotating textured planet and bloom"
The command is cartographer; the-cartographer is the same command under the package's name, which is what uvx and pipx run look for.
From source, to edit the code or the skills in place:
git clone https://github.com/sheepk95/The-Cartographer
cd The-Cartographer pip install -e . # or pip install . for a regular install
cartographer doctor on a fresh clone with only the bundled skills prints something like:
the-cartographer 0.1.1
bundled home: /path/to/The-Cartographer skills: 193 (193 bundled, 0 local) catalogue: 101163 bytes, about 28k tokens, id 3726e799ee4a backend anthropic not ready: pip install anthropic backend claude ready backend codex ready backend command not ready: set CARTOGRAPHER_COMMAND default backend: claude installed by cartographer install: 0 finder cache: /home/you/.cache/the-cartographer/finder names list: none yet (the first cartographer find builds it from robots.txt and the sitemaps: about 4 requests) skill pages cached: 0 (0 KB)
To look for skills you do not have yet (see Find skills you don't have):
cartographer find "Add property-based tests for our Python date parser and fuzz it for crashes"
cartographer install https://www.skills.sh/ / / # shows the licence and files, then asks
No model handy? These commands work offline:
cartographer search react performance # keyword search over names and descriptions
cartographer list --origin local # only your own skills cartographer show obra/systematic-debugging cartographer catalogue # the exact text the model reads
| backend | uses | needs |
|---|---|---|
anthropic | Claude API through the official SDK; the catalogue is a cached system block (1 hour) | pip install "the-cartographer[api]" (from a clone: pip install ".[api]"), ANTHROPIC_API_KEY |
claude | Claude Code in print mode (claude -p) with your existing login | the claude command |
codex | Codex CLI (codex exec), read-only sandbox, shell off, ephemeral | the codex command |
command | any command that reads the prompt on stdin and prints the answer (local models, other CLIs) | --command "...", or CARTOGRAPHER_BACKEND=command with CARTOGRAPHER_COMMAND |
Which backend runs: --backend if given, else command if you passed --command, else CARTOGRAPHER_BACKEND, else the first ready one in the table's order. Flags also beat environment variables for --model and --effort. The model only ever sees the cartographer's own prompt: the CLI backends run with customisations, tools and MCP servers switched off (claude --safe-mode --tools ""; codex exec --ignore-user-config -s read-only with the shell tool disabled).
Defaults: API model claude-opus-5-5 at effort medium (with server-side refusal fallbacks on). The CLI backends use your CLI's default model unless you pass --model (for example --model sonnet with Claude Code). --effort takes low to max, or none to send no effort setting.
For the command backend, the model needs a context window comfortably above the catalogue size (about 30k tokens with the bundled skills; check yours with cartographer doctor).
Claude Code: the plugin (MCP server and an "ask the cartographer first" skill in one step; needs uv)
/plugin marketplace add sheepk95/The-Cartographer
/plugin install the-cartographer@the-cartographer
On Claude Code 2.1.275 or later, one line does both: /plugin install the-cartographer --marketplace sheepk95/The-Cartographer. The plugin runs the server from its own copy of this repository with uvx --from ${CLAUDE_PLUGIN_ROOT} cartographer mcp, so it needs no separate install; the first start builds it once (about 15 seconds), later starts take under a second. Its skill tells the agent to call ask_cartographer at the start of each non-trivial task.
Claude Code: the MCP server only
claude mcp add the-cartographer -- uvx the-cartographer mcp # or, after pipx/pip install: -- cartographer mcp
(or put integrations/claude-code/mcp.json in a project as .mcp.json). Then either copy integrations/claude-code/ask-the-cartographer/ into ~/.claude/skills/, or paste integrations/claude-code/CLAUDE.md-snippet.md into your CLAUDE.md, so the agent asks at the start of each task.
Codex
codex mcp add the-cartographer -- uvx the-cartographer mcp # or, after pipx/pip install: -- cartographer mcp
or add this to ~/.codex/config.toml (the same as integrations/codex/config.toml):
[mcp_servers.the-cartographer]
command = "uvx" args = ["the-cartographer", "mcp"] startup_timeout_sec = 60 # the first uvx start downloads the package tool_timeout_sec = 600 # headroom for normal default attempts and process cleanup
Then add [integrations/codex/AGENTS.md-snippet.md](https://github.com/sheepk95/The-Cartographer/blob/main/integrations/co
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요