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作者による説明(英語の原文)
Search public Lever job boards: resolve a company, read its openings, read one in full.
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。
リンク先は作者自身のファイルです。私たちが置いたり再パッケージしたりしたものではありません。ファイルを開くと、Claude Desktopがインストールします。
ターミナルでこれを実行します
claude mcp add lever -- npx -y mcp-leverプロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"lever": {
"command": "npx",
"args": [
"-y",
"mcp-lever"
]
}
}
}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": {
"lever": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-lever"
]
}
}
}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7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 smeet666 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(2.1.0)がレジストリに届いたのは9 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Node.js, MCPB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。
Lever is recruiting software that thousands of companies use to run their hiring, and every customer gets a public job board that comes with it. Each board carries that company's open positions with their title, their location, the team and department they sit in, the commitment they ask for, the full advert, and the salary range where the company chose to publish one. Lever hosts one board per company, on either its global or its European instance, and publishes no index across them.
This server connects a chat client to those boards. You name the companies you are interested in, and it turns each name into the site name that addresses its board, searches their openings, filters them by location, team, workplace type, country, salary or how recently they were posted, reads one opening in full, and lists the wordings each company filters by. It needs no API key and no account.
_Version française_
One-click install
Claude Code
claude mcp add lever -- npx -y mcp-lever
Claude Desktop, Cursor, and any client using the standard config format
{
"mcpServers": { "lever": { "command": "npx", "args": ["-y", "mcp-lever"] } } }
Node 24 or later is required, and no environment variable has to be set.
{
"mcpServers": { "lever": { "command": "docker", "args": ["run", "-i", "--rm", "ghcr.io/smeet666/mcp-lever:2.1.0"] } } }
-i keeps stdin open, which is where the protocol travels, and -t is left out because a TTY rewrites the stream. The container needs outbound HTTPS to api.lever.co and api.eu.lever.co, and nothing else: no volume, no port, no credential.
Download mcp-lever-2.1.0.mcpb from the latest release and open it. A client that supports MCP bundles installs it on its own, with no npm and no configuration file to edit. The bundle carries its dependencies, so nothing is fetched at install time.
Every question starts from a company, since Lever offers no search across boards. search_jobs resolves the names you give it, so no preparation is needed:
resolve_company(["Included Health"]) -> includedhealth, global instance, publishing
search_jobs(["Included Health"], keyword: "therapist") get_job("includedhealth", "6f97a19f-…")
| Tool | What it does |
|---|---|
resolve_company | Turns company names into the Lever site names of their boards. |
search_jobs | Searches the openings of the companies you name. |
get_job | Reads one opening in full, advert included. |
list_filter_values | Lists the wordings one company files its openings under. |
A Lever site name distinguishes case, so Flex answers where flex returns nothing. Four spellings are tried per name on each of the two instances, and the answer lists what was sent, so nothing found is never proof that a company is absent from Lever.
resolve_companyTurns company names into Lever site names, reporting every instance that answered. It takes a list.
| Argument | Type | Required | What it does |
|---|---|---|---|
names | array of 1 to 25 strings | yes | Company names, or Lever site names you already know. |
In return: one entry per name, carrying input; found, a list of { slug, instance, publishes } where publishes is false for a site that exists and lists nothing today; tried, the spellings sent in order; and cached, true when this session had already resolved that name. A name answering on both instances comes back with both, and neither is elected: pass the one you mean to the other tools.
search_jobsSearches the openings of the companies named. Lever applies the filters it supports on its own exact wording, and this server applies the rest to the openings it read.
| Argument | Type | Required | What it does |
|---|---|---|---|
companies | array of 1 to 25 strings | yes | Company names or Lever site names. Each is resolved here. |
keyword | string | no | Words to look for in the title and the advert. |
location | array of 1 to 20 strings | no | Locations, exactly as Lever writes them. |
team | array of 1 to 20 strings | no | Teams, exactly as Lever writes them. |
department | array of 1 to 20 strings | no | Departments, exactly as Lever writes them. |
commitment | array of 1 to 20 strings | no | Commitments, exactly as Lever writes them. |
workplace_type | array of 1 to 4 strings | no | remote, hybrid, onsite or unspecified. |
country | array of 1 to 20 two-letter codes | no | Countries as ISO codes, as in FR or US. |
salary_min | number, 0 or more | no | The lowest upper bound of a salary range to keep. |
salary_interval | string | no | The period salary_min is written in, such as per-year-salary. |
currency | three-letter code | no | The currency salary_min is written in, as in EUR. |
posted_within_days | integer, 1 to 3650 | no | How recent an opening must be. |
limit | integer, 1 to 100, default 25 | no | Openings to read per company. |
skip | integer, 0 to 100000, default 0 | no | Openings to step over per company. |
Lever itself applies location, team, department and commitment; this server applies keyword, workplace_type, country, salary_min, salary_interval, currency and posted_within_days to what it read. list_filter_values publishes the wordings the first four take, and a wording Lever does not know comes back as an empty list.
In return: jobs, each carrying id and company_slug, which get_job takes, plus title, location, all_locations, country, workplace_type, team, posted_at, url and apply_url. commitment and department are absent when the company records neither. salary is null for an opening published without one, which is never the same as zero, and it carries the interval Lever wrote it in, never converted or annualised. per_company gives one outcome per company, with a status of read, unresolved, empty or failed, which are four different answers, and the read and returned counts around the filters. total_available is always null: Lever publishes no result count. The rows carry no advert text, since one company's board can run to megabytes.
limit applies per company, and a company whose openings fill it may publish more: the notes say when that happened, and that a count taken inside that window measures the window. posted_within_days walks up to five pages per company, and Lever pages by title, so an opening published yesterday can sit anywhere in a board.
get_jobReads one opening in full: the advert, its named sections, and the salary as published.
| Argument | Type | Required | What it does |
|---|---|---|---|
company_slug | string | yes | The Lever site name, as resolve_company returns it. |
job_id | string | yes | The identifier of one opening, as a search returns it. |
instance | global or eu | no | The instance the row came from. The global one by default. |
In return: job, holding the fields a search row carries, plus description, sections as { heading, items }, salary_note for what the company wrote beside the range, and source with the address it was retrieved from.
list_filter_valuesLists the team, location and commitment wordings one company uses. Read it before filtering: Lever matches its own wording, and the vocabulary belongs to each company, one writing Full-time where another writes EE Full-Time.
| Argument | Type | Required | What it does |
|---|---|---|---|
company_slug | string | yes | The Lever site name, as resolve_company returns it. |
| instance | global or eu | no
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