Context7
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Descripción del creador (original en inglés)
Search public Lever job boards: resolve a company, read its openings, read one in full.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
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Descargar el archivo .mcpb del creador
El enlace lleva al archivo del propio creador; no lo alojamos ni lo reempaquetamos. Abre el archivo y Claude Desktop lo instalará.
Ejecuta esto en tu terminal
claude mcp add lever -- npx -y mcp-leverPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"lever": {
"command": "npx",
"args": [
"-y",
"mcp-lever"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"lever": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"mcp-lever"
]
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub smeet666, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (2.1.0) llegó al registro hace 9 días.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js, MCPB en tu computadora.
En la misma categoría: Context7, Codebase Memory, Exa
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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
Solo se muestra el principio; lee el resto en el repo