Agent-Native Calendar
Agent-Native Google Calendar - manage events, sync, and public booking
作者による説明(英語の原文)
Ask which agent skills fit a task before you start it: picks from a vetted skill catalogue.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"the-cartographer": {
"command": "uvx",
"args": [
"the-cartographer",
"mcp"
]
}
}
}ターミナルでこれを実行します
claude mcp add the-cartographer -- uvx the-cartographer mcpプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"the-cartographer": {
"command": "uvx",
"args": [
"the-cartographer",
"mcp"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"the-cartographer": {
"type": "stdio",
"command": "uvx",
"args": [
"the-cartographer",
"mcp"
]
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月8日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント sheepk95 で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.1.0)がレジストリに届いたのは10 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにPython (uv)も必要です。
同じカテゴリには:Agent-Native Calendar, Excel MCP Server, MCP Server for Excel
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:↓ 週あたりのダウンロードi★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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
冒頭だけを表示しています。続きはリポジトリで読めます