Context7
Up-to-date docs for AI agents
作者提供的说明(英文原文)
Search public Lever job boards: resolve a company, read its openings, read one in full.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
链接指向作者自己的文件;我们不托管也不重新打包它。打开文件后,Claude Desktop 会进行安装。
在终端中运行这条命令
claude mcp add lever -- npx -y mcp-lever粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"lever": {
"command": "npx",
"args": [
"-y",
"mcp-lever"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"lever": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-lever"
]
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月8日
注册名称已通过 GitHub 账户 smeet666 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(2.1.0)于9天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js, MCPB。
同一分类中有:Context7, Codebase Memory, Exa
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
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Connect AI agents to Exa for web search, content fetching, and multi-step research.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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
只显示了开头部分;其余内容请在仓库中阅读