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제작자가 쓴 설명(영어 원문)
Search public Lever job boards: resolve a company, read its openings, read one in full.
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.
링크는 제작자의 파일로 바로 연결돼요. 우리가 보관하거나 다시 패키징하지 않아요. 파일을 열면 Claude Desktop이 설치해요.
터미널에서 이 명령어를 실행하세요
claude mcp add lever -- npx -y mcp-lever프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"lever": {
"command": "npx",
"args": [
"-y",
"mcp-lever"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"lever": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-lever"
]
}
}
}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 7일 점검
레지스트리 이름이 GitHub 계정 smeet666 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(2.1.0)은 9일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Node.js, MCPB도 있어야 해요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
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제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
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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