generated: '2026-09-25'
method: probed
status: published
source:
- https://mcp.aiapplyd.com/mcp
- https://github.com/aiapplyd/aiapplyd-mcp
- https://github.com/aiapplyd/aiapplyd-mcp/releases/tag/v1.8.0
- https://aiapplyd.com/mcps
server:
  name: AI Applyd
  title: AI Applyd
  version: 1.8.0
  protocolVersion: '2025-11-25'
  transport: streamable-http
  legacy_transport:
    sse: https://mcp.aiapplyd.com/sse
    note: GET answered 200 text/event-stream on 2026-09-25; the /mcps FAQ names it for clients still on SSE, while the setup
      message tells agents not to use it.
  registry_name: com.aiapplyd/aiapplyd
  capabilities:
  - tools
  - prompts
  - resources
  languages:
  - en
  - es
  - de
  - fr
  - pt-BR
  server_card:
    url: https://mcp.aiapplyd.com/.well-known/mcp/server-card.json
    status: 503
    body: '{"error":"server_card_unavailable"}'
    checked: '2026-09-25'
    note: answered 200 on 2026-09-23
  webmcp: The /mcps page also documents browser-native WebMCP tools (Chrome experimental trial) on aiapplyd.com; not probed,
    page-bound by the provider's own description.
auth:
  type: oauth2
  spec: 'OAuth 2.1 authorization code + PKCE (S256), dynamic client registration (registration_endpoint), Client ID Metadata
    Documents (client_id_metadata_document_supported: true), RFC 9207 iss response parameter; public clients (token_endpoint_auth_methods_supported:
    none)'
  authorization_server: https://mcp.aiapplyd.com/.well-known/oauth-authorization-server
  protected_resource: https://mcp.aiapplyd.com/.well-known/oauth-protected-resource
  note: initialize, tools/list, prompts/list and resources/list answered anonymously (HTTP 200) on 2026-09-25; an anonymous
    tools/call returned 401 {"error":"unauthorized"}. Every tool carries a title, all four annotation hints and an outputSchema.
tool_count: 17
prompt_count: 4
resource_count: 3
tools:
- name: aiapplyd_get_matches
  title: Get Job Matches
  description: 'List the user''s matched jobs: the roles AI Applyd found for them against their saved job preferences, best
    matches first, each with a job_match_id, title, company, location, match score, a 500-character excerpt of the posting
    and the apply URL. Pass job_match_ids (up to 10) to read the full posting,'
  inputs:
  - page
  - limit
  - saved_only
  - job_match_ids
  - job_url
  - query
  - location
  - remote_only
  - after_job_match_id
  required: []
  annotations:
    title: Get Job Matches
    readOnlyHint: true
    destructiveHint: false
    idempotentHint: true
    openWorldHint: false
  has_output_schema: true
  tier_hint: authenticated
- name: aiapplyd_apply
  title: Apply to Job
  description: Apply to one job on the user's behalf. Pass job_match_id from aiapplyd_get_matches, or job_url for any posting.
    AI Applyd rewrites the resume and cover letter for that role, then completes and submits the application on the employer's
    own hiring system (Workday, Greenhouse, Lever, Ashby, iCIMS and t
  inputs:
  - job_match_id
  - job_url
  - mode
  required: []
  annotations:
    title: Apply to Job
    readOnlyHint: false
    destructiveHint: true
    idempotentHint: false
    openWorldHint: true
  has_output_schema: true
  tier_hint: authenticated
- name: aiapplyd_get_applications
  title: Get Applications
  description: 'List the user''s applications and where each one stands, or read one by application_id to see what will be
    or was sent: the tailored resume, the cover letter, the screening answers, why it stopped, and its place in the queue,
    plus the employer''s confirmation page as an image when that page is the pro'
  inputs:
  - application_id
  - status
  - page
  required: []
  annotations:
    title: Get Applications
    readOnlyHint: true
    destructiveHint: false
    idempotentHint: true
    openWorldHint: false
  has_output_schema: true
  tier_hint: authenticated
- name: aiapplyd_review_application
  title: Approve or Reject Applications
  description: 'Act on the user''s applications. decision "approve" submits each waiting application on the employer''s hiring
    system under the user''s name: it spends one of their applications per job and cannot be undone. "reject" skips it: nothing
    is sent and nothing is spent. "cancel" stops one that is still queue'
  inputs:
  - decision
  - application_ids
  - document_type
  - instructions
  - steps
  - stage
  required:
  - decision
  - application_ids
  annotations:
    title: Approve or Reject Applications
    readOnlyHint: false
    destructiveHint: true
    idempotentHint: false
    openWorldHint: true
  has_output_schema: true
  tier_hint: authenticated
- name: aiapplyd_get_account
  title: Get Account
  description: 'Show the user''s AI Applyd account: plan, token balance, applications left in the current 30-day window, the
    job preferences their matches are found against, and readiness: whether a resume is on file, whether setup is finished,
    and which profile fields employer forms require that are still empty. Al'
  inputs: []
  required: []
  annotations:
    title: Get Account
    readOnlyHint: true
    destructiveHint: false
    idempotentHint: true
    openWorldHint: false
  has_output_schema: true
  tier_hint: authenticated
- name: aiapplyd_set_resume
  title: Set Resume
  description: 'Put the user''s resume on their AI Applyd account as the base every application is tailored from. Pass exactly
    one: resume_text (the full text), resume_url (an https link to a PDF, DOCX or plain text file, up to 10 MB), or document_id
    (one of their saved resumes, from aiapplyd_get_account). A new upl'
  inputs:
  - resume_text
  - resume_url
  - document_id
  required: []
  annotations:
    title: Set Resume
    readOnlyHint: false
    destructiveHint: false
    idempotentHint: false
    openWorldHint: true
  has_output_schema: true
  tier_hint: authenticated
- name: aiapplyd_triage_matches
  title: Save or Skip Matches
  description: 'Save or skip job matches: the answer to "want this one?". action "save" keeps matches in the user''s saved
    list; action "skip" dismisses them so they stop showing, with an optional reason (not_interested, wrong_location, too_senior,
    too_junior, salary_too_low, wrong_role, company_mismatch, already_ap'
  inputs:
  - action
  - job_match_ids
  - reason
  required:
  - action
  - job_match_ids
  annotations:
    title: Save or Skip Matches
    readOnlyHint: false
    destructiveHint: false
    idempotentHint: true
    openWorldHint: false
  has_output_schema: true
  tier_hint: authenticated
- name: aiapplyd_score_resume
  title: Score Resume
  description: 'Score a resume for ATS compatibility. Returns an overall score, section scores, the keywords the resume matches
    and the ones it is missing, and specific rewrite suggestions. Pass job_description to score against a posting, or omit
    it for a general ATS readiness score. Requires a connected AI Applyd '
  inputs:
  - resume_text
  - job_description
  required:
  - resume_text
  annotations:
    title: Score Resume
    readOnlyHint: false
    destructiveHint: false
    idempotentHint: false
    openWorldHint: true
  has_output_schema: true
  tier_hint: authenticated
- name: aiapplyd_analyze_job_description
  title: Analyze Job Description
  description: 'Extract what a job posting actually screens on: the exact ATS keywords, must-have versus nice-to-have requirements,
    seniority signals, and red flags. Call this before tailoring a resume so the resume mirrors the posting''s own language.
    Requires a connected AI Applyd account and uses the user''s AI cr'
  inputs:
  - job_description
  required:
  - job_description
  annotations:
    title: Analyze Job Description
    readOnlyHint: false
    destructiveHint: false
    idempotentHint: false
    openWorldHint: true
  has_output_schema: true
  tier_hint: authenticated
- name: aiapplyd_optimize_resume
  title: Optimize Resume with AI
  description: Rewrite a resume so it passes ATS screening. Returns the rewritten resume, a projected ATS score, and an itemised
    summary of every change made. Pass job_description to tailor the rewrite to one specific posting, or omit it for general
    ATS optimization. Requires a connected AI Applyd account. Uses th
  inputs:
  - resume_text
  - job_description
  required:
  - resume_text
  annotations:
    title: Optimize Resume with AI
    readOnlyHint: false
    destructiveHint: false
    idempotentHint: false
    openWorldHint: true
  has_output_schema: true
  tier_hint: authenticated
- name: aiapplyd_generate_interview_questions
  title: Generate Interview Questions
  description: 'Produce interview preparation for a specific role and company: company insights, the questions this role is
    asked with approach guidance, STAR scenarios drawn from the posting, talking points, questions to ask the interviewer,
    and salary negotiation prep. Pass application_id to prep for a job the us'
  inputs:
  - job_title
  - company_name
  - job_description
  - application_id
  required: []
  annotations:
    title: Generate Interview Questions
    readOnlyHint: false
    destructiveHint: false
    idempotentHint: false
    openWorldHint: true
  has_output_schema: true
  tier_hint: authenticated
- name: aiapplyd_translate_resume
  title: Translate Resume
  description: Translate the user's base resume, the one saved on their AI Applyd account, into another language (for example
    Spanish, French, German, Portuguese or Japanese), ready to send to employers in that market. Returns the new resume's
    title and a link; the translation is saved as a separate resume and the
  inputs:
  - target_language
  required:
  - target_language
  annotations:
    title: Translate Resume
    readOnlyHint: false
    destructiveHint: false
    idempotentHint: false
    openWorldHint: true
  has_output_schema: true
  tier_hint: authenticated
- name: aiapplyd_search_jobs
  title: Search Jobs
  description: 'Deprecated alias of aiapplyd_get_matches, use aiapplyd_get_matches. Returns the user''s matched jobs filtered
    by title, location and remote, exactly as aiapplyd_get_matches with query, location and remote_only. Read-only: it never
    changes which roles AI Applyd hunts for.'
  inputs:
  - job_title
  - location
  - remote_only
  required:
  - job_title
  annotations:
    title: Search Jobs
    readOnlyHint: true
    destructiveHint: false
    idempotentHint: true
    openWorldHint: false
  has_output_schema: true
  tier_hint: authenticated
- name: aiapplyd_update_job_preferences
  title: Update Job Preferences
  description: 'Set what AI Applyd hunts for on the user''s behalf, and re-run discovery immediately: target roles, locations,
    remote, salary band and currency, seniority (experience_levels), work styles, job types, visa sponsorship need, industries
    to exclude, or pause matching. Pass description to say it in plain '
  inputs:
  - target_roles
  - locations
  - include_remote
  - remote_only
  - salary_min
  - salary_max
  - salary_currency
  - experience_levels
  - work_styles
  - job_types
  - needs_visa_sponsorship
  - exclude_industries
  - paused
  - description
  - application_answers
  required: []
  annotations:
    title: Update Job Preferences
    readOnlyHint: false
    destructiveHint: true
    idempotentHint: true
    openWorldHint: false
  has_output_schema: true
  tier_hint: authenticated
- name: aiapplyd_generate_cover_letter
  title: Generate Cover Letter
  description: Write a cover letter for a specific job from the base resume saved on the user's AI Applyd account, in their
    own voice and free of recruiter cliches. Returns the finished letter as text and saves it to the account. Pass application_id
    instead to get the letter already written for that application (n
  inputs:
  - job_description
  - company_name
  - application_id
  - instructions
  required: []
  annotations:
    title: Generate Cover Letter
    readOnlyHint: false
    destructiveHint: false
    idempotentHint: false
    openWorldHint: true
  has_output_schema: true
  tier_hint: paid
- name: aiapplyd_auto_apply
  title: Auto Apply to Job
  description: Deprecated alias of aiapplyd_apply, use aiapplyd_apply. Applies to ONE job posting by job_url, end to end,
    on the employer's own hiring system (Workday, Greenhouse, Lever, Ashby, Workable, iCIMS, Personio, Recruitee, Teamtailor,
    Rippling, Breezy, SmartRecruiters, BambooHR, JazzHR, softgarden), follo
  inputs:
  - job_url
  required:
  - job_url
  annotations:
    title: Auto Apply to Job
    readOnlyHint: false
    destructiveHint: true
    idempotentHint: false
    openWorldHint: true
  has_output_schema: true
  tier_hint: authenticated
- name: aiapplyd_build_pdf
  title: Build Resume
  description: 'Build a formatted, ATS-clean resume from raw text in the user''s AI Applyd resume builder, where it stays
    editable and downloads as a PDF. Templates: modern, classic, or minimal. Private to the account by default; set make_public
    to true only if the user explicitly asks for a shareable public link. R'
  inputs:
  - resume_text
  - template
  - make_public
  required:
  - resume_text
  annotations:
    title: Build Resume
    readOnlyHint: false
    destructiveHint: false
    idempotentHint: false
    openWorldHint: true
  has_output_schema: true
  tier_hint: paid
prompts:
- name: review_my_resume
  description: Score this resume against the posting and return the three changes that move it past the filter.
  arguments:
  - resume_text
  - job_description
- name: prepare_for_interview
  description: Prepare for the questions this company asks for this role, with structured answers ready.
  arguments:
  - job_title
  - company_name
- name: apply_to_my_matches
  description: Show your best job matches, then apply to the ones you pick, each held for your approval.
  arguments: []
- name: find_jobs_like_this
  description: Return the strongest matches for a target role, ranked by fit.
  arguments:
  - job_title
  - location
resources:
- name: ats-best-practices
  uri: aiapplyd://resources/ats-best-practices
  mimeType: text/markdown
- name: interview-frameworks
  uri: aiapplyd://resources/interview-frameworks
  mimeType: text/markdown
- name: resume-section-order
  uri: aiapplyd://resources/resume-section-order
  mimeType: text/markdown
verbatim:
- mcp/aiapplyd-mcp-tools-list.json
- mcp/aiapplyd-mcp-server-info.json
deployment:
  mode: both
  endpoint: https://mcp.aiapplyd.com/mcp
  install: npx -y github:aiapplyd/aiapplyd-mcp
  package: https://github.com/aiapplyd/aiapplyd-mcp
  auth: oauth
  verified: probed
  note: The stdio package is a thin bridge that relays JSON-RPC verbatim to the hosted endpoint (README). GitHub release v1.8.0
    published 2026-09-25 (package.json version 1.8.0, MIT).
tier_hint_note: tier_hint is "paid" only where the tool description itself says a paid plan is required; the /mcps page also
  puts auto-apply on paid plans.