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PopNx MCPServidores MCP para quienes usan IA · explicados con palabras sencillas

ApplyWise

de tanmayagrawal21versión 0.1.0i★ –iSe ejecuta en tu computadora
Nombre en el registroio.github.tanmayagrawal21/applywise

Instalar

Resumen

Descripción del creador (original en inglés)

Job search and form filling; dry run by default, real submits need your approval or consent.

Los tres pilares de PopNx MCP

Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.

Qué puedes hacer con él

Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.

  • Conexión: Se ejecuta en tu computadora
  • Transporte: stdio
  • Categoría: Búsqueda y memoria de IA

Instalación

Elige la app de IA que usas y copia la configuración.

Antes de instalar

Necesitas

  • PyPIuv de Python instalado (para el comando uvx)

¿Qué app usas?

Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.

Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json

{
  "mcpServers": {
    "applywise": {
      "command": "uvx",
      "args": [
        "applywise"
      ]
    }
  }
}

Ejecuta esto en tu terminal

claude mcp add applywise -- uvx applywise

Abrir en Cursor

O copia la configuración tú

Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json

{
  "mcpServers": {
    "applywise": {
      "command": "uvx",
      "args": [
        "applywise"
      ]
    }
  }
}

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.

Abrir en VS Code

O copia la configuración tú

Pégalo en .vscode/mcp.json de tu proyecto

{
  "servers": {
    "applywise": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "applywise"
      ]
    }
  }
}

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.

Qué puede hacer

Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.

Revisiones básicasi

Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 7 nov 2026

  • ✓ Superada

    El creador coincide con el repo

    El nombre en el registro se verificó con la cuenta de GitHub tanmayagrawal21, dueña del repo

  • … Aún sin revisar

    Sigue en mantenimiento

    Todavía no hemos leído este repo en GitHub

  • … Aún sin revisar

    Tiene licencia

    Todavía no hemos leído este repo en GitHub

  • – No aplica

    El endpoint responde

    Este se ejecuta en tu computadora; no hay endpoint en internet

  • – No aplica

    Inicio de sesión con OAuth

    Se ejecuta en tu computadora y usa ajustes locales en su lugar

  • … Aún sin revisar

    Sin instrucciones ocultas en las descripciones de herramientas

    Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet

Comparado con otros en Búsqueda y memoria de IAi

  • Más estrellas que el 0% de los otros 7275 servidores de esta categoría
  • Publicado en el registro más recientemente que el 72% de los otros 7275 servidores de esta categoría
  • Revisiones básicas iguales o mejores que el 100% de los otros 7275 servidores de esta categoría

Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.

Preguntas frecuentes

¿Es seguro ApplyWise?

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.

¿Qué claves o códigos necesita?

El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.

¿Se ejecuta en mi computadora o en la nube?

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).

¿Sigue en mantenimiento?

El repo de GitHub cambió por última vez –, y la última versión (0.1.0) llegó al registro hace 15 días.

¿Qué apps pueden usarlo?

Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Python (uv) en tu computadora.

¿Qué puedo usar en su lugar?

En la misma categoría: Context7, Codebase Memory, Exa

Alternativas

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

Context7

de upstash

Up-to-date docs for AI agents

Computadora o nube★ 64.224MITActualizado ayer
Instalar

Codebase Memory

de DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

Se ejecuta en tu computadora★ 48.148MITActualizado hace 21 días
Instalar

Exa

de exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

Se ejecuta en la nube★ 5213MITActualizado el mes pasado
Instalar

README del creador

Abrir el README

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.

job-apply-mcp (ApplyWise)

An MCP server that finds jobs and fills applications for you, and stops before anything irreversible. It is modular (pluggable platforms, LLM providers, browser drivers), parallel, token-frugal (compact, paginated output) and local-first (routine form fields go to Ollama, LM Studio or MLX on your machine; only hard prose escalates). Works with any MCP client on macOS, Linux and Windows.

[!WARNING]

Alpha. Field results from the first live dogfooding run (one user, one night, ~330 discovered postings):

search, ranking, dedupe and planning work end to end, and the browser driver now fills and verifies

complete Greenhouse and Lever forms, but no application has yet been submitted unattended. Most

Greenhouse boards are reCAPTCHA-protected, so the tool fills the form and hands the final click to you

(handoff), which is the intended behaviour. Free-text questions need writing.reviewer = "router" (local strict

review) to go out without you. Expect rough edges; every irreversible step is gated, logged and

never retried when the outcome is uncertain.

Install as a Claude Code plugin

The repository is also a Claude Code plugin marketplace. The applywise plugin starts the MCP server for you (pinned to a reviewed version) and adds a skill that tells Claude how to use the tools safely:

claude plugin marketplace add tanmayagrawal21/job-apply-mcp

claude plugin install applywise@applywise

Then run init and doctor from the quickstart below in your own terminal, and check /mcp for plugin:applywise:applywise. The same safety model applies: dry run by default, a human approves every real submit, and visible CAPTCHAs always come back to you; logins, codes and account creation stay with you unless you open a consent window yourself (safety model, items 7 and 8). To update, run claude plugin update applywise@applywise. How releases and the version pin work: docs/release.md.

5-minute quickstart

You need uv (or pipx). No clone required.

# 1. Create config.toml, profile.toml, controls.toml (asks a few questions; --yes to skip them)

uvx --from git+https://github.com/tanmayagrawal21/job-apply-mcp job-apply-mcp init

2. Put your real details in the profile it printed the path of, then check everything

uvx --from git+https://github.com/tanmayagrawal21/job-apply-mcp job-apply-mcp doctor

3. Add the printed snippet to your MCP client (guides for ten clients: docs/clients/)

claude mcp add --transport stdio job-apply -- uvx --from git+https://github.com/tanmayagrawal21/job-apply-mcp job-apply-mcp

Then ask your assistant: "search jobs at greenhouse:examplecorp for data roles, plan the best one, and do a dry run." Everything is a dry run until you set dry_run = false.

Install alternatives: pipx install git+https://github.com/tanmayagrawal21/job-apply-mcp (then the command is just job-apply-mcp), or pip install into a virtualenv. After the first PyPI release, uvx applywise (the PyPI distribution is applywise; the job-apply-mcp command stays as an alias). Optional extras: [browser] (Playwright), [agent], [jobspy], [mlx], [hf], [litellm], [keyring].

Features

AreaWhat you get
DiscoveryParallel search over Greenhouse, Lever, Ashby, SmartRecruiters, Workday and JobSpy boards, paginated
Policy gatesSkip by sponsorship, citizenship, clearance, experience, graduation window, salary floor, employer patterns
Runsrun_applications / job-apply-mcp run: links you pass, job links you emailed yourself (read-only mail) and discovery in one run, a run report and feedback applied to the next run
ApplyingPlatform API where possible, browser driver otherwise, generic LLM-assisted adapter for other sites
Local LLM routingComplexity-scored tiers (small/medium/large/narrative), fallbacks, optional cloud, your MCP client as last resort
Profile builderCollects the questions your profile could not answer, ranks them, and asks you (profile_questions, answer_profile_question, job-apply-mcp profile ask); the model never supplies an answer
AuthorizationPer-country facts ([authorization] for your home_country, [authorization. ] for others); no default country, and unknown countries stay unresolved
WritingCover letters and answers with style rules, banned phrases and gap-avoidance checks
ProvenanceEvery generated text is recorded and can be verified or edited by you
DedupeStore of applications plus optional confirmation-email ingest so you never apply twice
Control layerQuotas, mode switch, attestation and recipient guards, prose lint, prompt-injection screen
Transportsstdio (default) and streamable HTTP with bearer token
Operationsinit, doctor, Dockerfile, CI on Linux/macOS/Windows
Run statuses

Every posting in a run_applications / run_report result has exactly one status, with a why where useful (ADR-0049):

StatusMeaning
submittedLive submit sent; a confirmation may follow
confirmedReconciliation confirmed the submission
dry_run_okDry run complete: a live run would submit it (see live_preview for quotas; the row's captcha mode says whether a captcha would stop it: docs/tools.md)
needs_humanYou must act; why says what (unresolved fields, review gate, awaiting approval, verification code)
quota_blockedA daily, per-platform or per-run quota refused the live submit; nothing was sent
skippedNot attempted; why says why (policy, duplicate, prose not approved yet, max_applications reached)
unsupported_siteNo enabled adapter handles the host
unknownOutcome unclear (for example a roadblock after the click); verify by hand
failedAn error

max_applications (a whole number >= 1) caps the eligible postings a run handles (ready to submit, or needing you), the same in dry and live mode; skipped and unsupported postings do not count. A dry run also returns live_preview with what the current live quotas would allow. Live submits also count against the daily (25 per rolling 24 h), per-platform (10) and per-run (10) limits; a user config can lower or raise them.

Safety model

  1. Dry-run by default. dry_run = true unless you change it; init always writes it.
  2. Approval tokens. plan_application returns a token bound to a hash of the exact answers. A real submit needs that token, so what you reviewed is what is sent (apply.auto_approve turns this off; do not).
  3. Control layer. Independent checks run before every side effect: daily and per-run quotas, single-submit guard, recipient deny-list, prose lint, page-text injection screen, apply_enabled kill switch. Add your own rules in controls.toml.
  4. Hard stops. Visible CAPTCHA challenges and attestation checkboxes matching policy.stop_phrases (for example "no AI used") always return needs_human. They are not configurable away. Verification codes are entered only when the USER types them, confirms a granted prefill (ADR-0026/0027), or consented to unattended runs from a terminal (item 8). Account creation is off by default; it needs accounts.auto_create = true in your own user config file AND an open credentials consent window (ADR-0046).
  5. No invented facts. Answers come from your profile or are marked; unresolved required fields stop the run. Autonomy level (ADR-0052). [answers] autonomy in your own user config decides what the agent may assume when you are not available: strict (default: every unresolved field waits for you), safe_default (decline contact/marketing permission, the configured "how did you hear" default, "decline to self-identify"), or infer (also skill/experience questions about a tool or technology, answered from your resume: Yes only when it clearly says so, otherwise No; willingness, availability, location and terms questions are never inferred). Authorization/visa/identity, background and other screening, accommodation, recording, attestations, legal agreements and employment terms, salary without a policy, start date and location facts are never assumed. Every assumed answer is labelled (assumed, plan, evidence, run report); after promote_after (3) assumptions of one question you are asked once and your answer is reused. A project file or env var can only make the level stricter. init asks which level to use; control_status shows it.
  6. Privacy. Profile and secrets stay on your machine, are never committed, and API keys are read only from the environment. See SECURITY.md.
  7. Credentials never reach the model. ATS logins live in the OS keychain (job-apply-mcp vault add --username U, password prompted without echo). The browser fills them straight into the page; MCP exposes only vault_status (hosts, never secrets). At most 2 sign-in attempts per host per run; a lockout or wrong password stops that host (ADR-0046).
  8. Consent window (optional, ADR-0048). job-apply-mcp consent --for 24h (or --per-run, --max N, --scopes ...) is typed once, in a terminal, per period you choose. Inside the window submissions are approved automatically (logged with the consent id), a page whose only bot check is an invisible widget is submitted with one click, and an emailed code is read from the newest message of the expected sender and entered once. Unattended codes stay off until verification.trusted_authserv_ids lists your own mail server's Authentication-Results id (user config only), so a spoofed sender cannot supply a code. You review the results afterwards (list_applications). consent --revoke ends it; consent_status (MCP) is read-only and no tool can create one.
  9. Owner-only questions (ADR-0050). Contact, messaging and marketing permissions (SMS, WhatsApp, calls, email, job alerts, talent community) are never answered Yes; only your own optin: answer applies, and only to a single, plain permission question. Otherwise they stay with you, or are declined (labelled assumed) at answers.autonomy = "safe_default" or "infer" (item 5). Authorization and sponsorship come only from structured per-country facts.
  10. You make the final click (optional, ADR-0058). Set [browser] final_click = "human" with headless = false. The agent fills and verifies each form, brings the tab to the front, and never clicks Submit. You click. A watcher reads the page every 3 s, for up to human_click_timeout_s (900 s by default), and records the submission once the site shows its success page. run_applications then hands you one filled tab at a time. The setting only tightens: any config layer can set human, and only your own user config can switch it back to agent.

Known limitation: Ashby with reCAPTCHA Enterprise. Ashby forms protected by reCAPTCHA Enterprise silently reject or challenge automated submit clicks, even when the widget is invisible. Use final_click = "human" for these postings.

Transports

job-apply-mcp                                                  # stdio (what clients launch)

job-apply-mcp --transport http --host 127.0.0.1 --port 8765 # http://127.0.0.1:8765/mcp JOB_APPLY_MCP_TOKEN=... job-apply-mcp --transport http --host 0.0.0.0 # non-local: token required

HTTP binds loopback by default; any other address refuses to start without JOB_APPLY_MCP_TOKEN (Authorization: Bearer ...). Use a TLS reverse proxy for network access. A Dockerfile is included (no browser by default; --build-arg BROWSER=1 adds Playwright and Chromium).

Do

Solo se muestra el principio; lee el resto en el repo

Pregunta a PopNx