Context7
Up-to-date docs for AI agents
作者による説明(英語の原文)
Issue tracker and durable project memory for your coding agent, scoped to the folder you open.
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。
TRAIL_API_URL, TRAIL_PROJECT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": {
"trail": {
"command": "npx",
"args": [
"-y",
"usetrail"
],
"env": {
"TRAIL_API_URL": "your-value",
"TRAIL_PROJECT": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add trail --env TRAIL_API_URL=your-value --env TRAIL_PROJECT=your-value -- npx -y usetrail動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"trail": {
"command": "npx",
"args": [
"-y",
"usetrail"
],
"env": {
"TRAIL_API_URL": "your-value",
"TRAIL_PROJECT": "your-value"
}
}
}
}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": {
"trail": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"usetrail"
],
"env": {
"TRAIL_API_URL": "your-value",
"TRAIL_PROJECT": "your-value"
}
}
}
}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。
TRAIL_API_URL envTRAIL_PROJECT env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6日にチェック
公開者(usetrail.dev)がリポジトリの所有者(arsprengel)ではありません。別の人が登録した可能性があります
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0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(1.29.1)がレジストリに届いたのは2 か月前です。
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Node.jsも必要です。
同じカテゴリには:Context7, Codebase Memory, Exa
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:★ 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
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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。
The MCP server for [Trail](https://usetrail.dev) - it gives your coding agent your team's tracker and the project's durable memory, scoped to the folder you have open.
Your agent stops working blind. It reads what is open, writes what it did, and records what it learned the hard way - in the same board your team looks at, not in a scratch file that only that session can see.
This package is the client. It talks to your Trail account over the REST API; there is no database here. Dependencies are @modelcontextprotocol/sdk, zod and the built-in fetch.
# 1. connect this machine to your Trail account (opens your browser; no token to copy)
npx -y usetrail@latest login
claude mcp add trail -s user -- npx -y usetrail@latest
No account yet? Create one at usetrail.dev - the free plan covers three projects and three people.
Not tied to one agent. This is a plain MCP server over stdio, speaking the three protocol versions in use today. Any MCP-compatible client can run it; only the registration command differs, and each client documents its own.
Prefer a local checkout? Clone it instead, and the connector keeps itself up to date on its own (see Updating):
git clone https://github.com/arsprengel/trail-mcp.git ~/.trail-mcp
npm --prefix ~/.trail-mcp install --omit=dev node ~/.trail-mcp/bin.js login claude mcp add trail -s user -- node ~/.trail-mcp/bin.js
On Windows, write the real path instead of ~: the registration stores the argument verbatim and Node does not expand it.
The tracker - list_items, get_item, add_item, update_item, move_item, get_next, delete_item. Real items on your team's board, with type, status, priority, assignees and history. Work the agent picks up shows as in progress and closes when it is done, so the board is not a story someone has to retell.
Project memory - list_memory, get_memory, add_memory, update_memory, review_memory. The durable knowledge of a project: the deploy that has a trap in it, the decision nobody should relitigate, the command that is not in any README. Shared by everyone on the project, human or agent. A new session reads it before acting instead of rediscovering it.
Reminders - add_reminder, list_reminders, update_reminder, delete_reminder. Things with a date that must not be silently missed - and the agent closes or reschedules them itself once the date arrives.
Attachments - add_attachment, get_attachment. Files that belong to an item.
Trail holds many projects. The connector uses the folder you have open as the project - the folder name, or whatever a .trail file next to it says, or the TRAIL_PROJECT variable. So the agent writes to the right project without being told, and two repositories never bleed into each other. To reach across, the agent passes project explicitly on the tool.
Installed for you, once, when you log in - and on the connector's first run, which covers people who paste a token into the registration instead of logging in through the browser. Every session that starts in a project with a tracker gets the open items and the project memory in context from the first message - the agent starts knowing, instead of depending on someone remembering to ask. Fail-silent by design: no login or no network and the hook stays quiet.
Each tool keeps this in its own place, so the connector writes to the one that tool actually reads:
~/.claude/settings.json.~/.gemini/settings.json.~/.gemini/config/mcp_config.json, which is the file it actually reads: `gemini mcp add` does not connect Trail in Antigravity, because that command writes to ~/.gemini/settings.json instead. Field-tested on Antigravity 2.11 (Windows), of the three things that live in that config folder only the tool registration is honored - the opening-summary hook is not run, and a plugin folder placed exactly where its own documentation says is not read. So on Antigravity the agent gets the tools and the server's working rules, and fetches the project summary itself on the first turn instead of receiving it. The plugin path is built and tested behind a switch, waiting for that to change.usetrail status tells you, per tool found on this machine, whether it is on - so you never have to go digging through settings files to find out.
It never fights you. A tool that isn't on the machine gets nothing created for it, and hooks install will not fabricate a config for a program you don't have. If you remove it with hooks uninstall, it does not come back on its own - put it back with:
npx -y usetrail@latest hooks install
Clients without a hook mechanism are covered too: the server's own instructions tell the agent to fetch the summary itself before acting.
Point it at your server once and it stays pointed:
TRAIL_API_URL=https://your-trail npx -y usetrail@latest login
Without that variable, login goes to the hosted service.
npx -y usetrail@latest # start the MCP server over stdio - what your agent runs
npx -y usetrail@latest login # connect this machine (browser confirmation, no token copying) npx -y usetrail@latest status # server address, current project, whether a token is present npx -y usetrail@latest logout # delete the saved token npx -y usetrail@latest doctor # find the install on this machine and unstick auto-updates
The token is stored at ~/.config/trail/token.json (mode 600). Revoke it whenever you want from the "AI token" panel in the app.
| Variable | What it does |
|---|---|
TRAIL_API_URL | Your own Trail's address. Saved after the first login. Defaults to the hosted service. |
TRAIL_PROJECT | Forces the project name (default: the open folder). |
TRAIL_API_TOKEN | A token directly, skipping the browser login. Useful in CI. |
TRAIL_LANG | Language of what the connector prints on screen: pt or en. Without it, your system's language, and English when your system states none. Never changes what the agent reads. |
The former names (TETHER_*) keep working, with no deadline - the product used to be called Tether, and nothing anyone already configured has to change.
The `@latest` is not decoration. Registered as npx -y usetrail@latest, the connector resolves the published version every time your agent starts a session, so a new release reaches you without anyone doing anything. Registered as bare npx usetrail, npm reuses whatever copy it cached the first time - and that machine stays on that version forever. Use @latest.
The cost of @latest is about a second at session start, and a network call. Neither matters in practice: the connector talks to Trail over the network anyway.
A cloned install updates itself differently: on startup it fires a quiet fast-forward pull in the background, at most every six hours. The running session keeps the version it loaded; the next one starts updated. No network or a local conflict and nothing happens, silently.
Stuck on an old version? npx -y usetrail@latest doctor finds the install, reports the version and unsticks it.
Node 18 or newer.
MIT. This package is the client - the connector you run on your own machine. Use it, fork it, adapt it. The Trail service it talks to is a separate, hosted product.