AI Applyd

Official10 toolsLive

by aiapplyd · TypeScript

Auto-apply that ends on an interview. Job matches, per-role resumes, apply, approve, track receipts.

MCP Server: com.aiapplyd/aiapplyd

This MCP server, com.aiapplyd/aiapplyd, provides an “Auto-apply” workflow that ends on an interview. It includes ATS scoring, supports per-role resumes and cover letters, and provides interview prep.

🛠️ Key Features

Auto-apply workflow
Ends on an interview
ATS scoring
Per-role resumes
Per-role cover letters
Interview prep

🚀 Use Cases

Automating job applications up to the interview stage
Generating job-specific resumes and cover letters
Using ATS scoring as part of the application workflow
Preparing for interviews after applications are submitted

⚡ Developer Benefits

Clear scope centered on auto-apply, ATS scoring, and interview preparation
Structured outputs implied by per-role resumes and cover letters

⚠️ Limitations

Supported capabilities are limited to auto-apply through interview prep (no other features described)

Topics

ai-agentatscareerclaudecloudflare-workersjob-applicationjob-searchmcpmcp-servermodel-context-protocolresumechatgptcursorinterview-prepremote-mcp-servergemini-cligemini-cli-extension

Captured live from the server via tools/list.

aiapplyd_score_resume

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 account and uses the user's credits.

Parameters2

resume_text	string	required	Full text of the resume
job_description	string	optional	Full text of the job description (optional, omit for a general ATS readiness score)

Raw schema

{
  "type": "object",
  "properties": {
    "resume_text": {
      "type": "string",
      "minLength": 50,
      "maxLength": 50000,
      "description": "Full text of the resume"
    },
    "job_description": {
      "type": "string",
      "minLength": 50,
      "maxLength": 50000,
      "description": "Full text of the job description (optional, omit for a general ATS readiness score)"
    }
  },
  "required": [
    "resume_text"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

aiapplyd_analyze_job_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 credits.

Parameters1

job_description

string

required

Full text of the job description

Raw schema

{
  "type": "object",
  "properties": {
    "job_description": {
      "type": "string",
      "minLength": 50,
      "maxLength": 50000,
      "description": "Full text of the job description"
    }
  },
  "required": [
    "job_description"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

aiapplyd_optimize_resume

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.

Parameters2

resume_text	string	required	Full text of the resume to optimize
job_description	string	optional	Full text of the target job description (optional, omit for general ATS optimization)

Raw schema

{
  "type": "object",
  "properties": {
    "resume_text": {
      "type": "string",
      "minLength": 50,
      "maxLength": 50000,
      "description": "Full text of the resume to optimize"
    },
    "job_description": {
      "type": "string",
      "minLength": 50,
      "maxLength": 50000,
      "description": "Full text of the target job description (optional, omit for general ATS optimization)"
    }
  },
  "required": [
    "resume_text"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

aiapplyd_generate_interview_questions

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. Requires a connected AI Applyd account.

Parameters3

job_title	string	required	Title of the position (e.g. "Senior Software Engineer")
company_name	string	required	Name of the company
job_description	string	optional	Full text of the job description (optional but recommended for better results)

Raw schema

{
  "type": "object",
  "properties": {
    "job_title": {
      "type": "string",
      "minLength": 2,
      "maxLength": 200,
      "description": "Title of the position (e.g. \"Senior Software Engineer\")"
    },
    "company_name": {
      "type": "string",
      "minLength": 1,
      "maxLength": 200,
      "description": "Name of the company"
    },
    "job_description": {
      "type": "string",
      "maxLength": 50000,
      "description": "Full text of the job description (optional but recommended for better results)"
    }
  },
  "required": [
    "job_title",
    "company_name"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

aiapplyd_translate_resume

Translate the resume saved on the user's AI Applyd account into another language, ready to send to employers in that market. Saves the translation as a new resume and leaves the original unchanged. Requires a connected AI Applyd account.

Parameters1

target_language

string

required

Target language (e.g. "Spanish", "French", "German", "Japanese")

Raw schema

{
  "type": "object",
  "properties": {
    "target_language": {
      "type": "string",
      "minLength": 1,
      "maxLength": 50,
      "description": "Target language (e.g. \"Spanish\", \"French\", \"German\", \"Japanese\")"
    }
  },
  "required": [
    "target_language"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

aiapplyd_search_jobs

Return the user's AI-curated job matches, filtered by title, location, and remote preference. Each match carries a match score, company, location, salary, extracted skills, and the application URL. Read-only: it never changes which roles AI Applyd hunts for (use aiapplyd_update_job_preferences for that). Requires a connected AI Applyd account.

Parameters3

job_title	string	required	Job title to search for (e.g. "Software Engineer", "Product Manager")
location	string	optional	Preferred location (e.g. "San Francisco, CA", "New York", "Remote")
remote_only	boolean	optional	If true, only show remote-friendly positions

Raw schema

{
  "type": "object",
  "properties": {
    "job_title": {
      "type": "string",
      "minLength": 2,
      "maxLength": 200,
      "description": "Job title to search for (e.g. \"Software Engineer\", \"Product Manager\")"
    },
    "location": {
      "type": "string",
      "maxLength": 200,
      "description": "Preferred location (e.g. \"San Francisco, CA\", \"New York\", \"Remote\")"
    },
    "remote_only": {
      "type": "boolean",
      "description": "If true, only show remote-friendly positions"
    }
  },
  "required": [
    "job_title"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

aiapplyd_update_job_preferences

Set the roles and locations AI Applyd hunts for on the user's behalf, and re-run discovery immediately. This REPLACES the target roles / locations currently saved on the account, so pass the complete list you want, not just an addition. Only call this when the user explicitly asks to change what they are looking for. Requires a connected AI Applyd account.

Parameters3

target_roles	array	optional	Full list of job titles to hunt for. REPLACES the saved list.
locations	array	optional	Full list of preferred locations. REPLACES the saved list.
remote_only	boolean	optional	Whether to include remote-friendly positions

Raw schema

{
  "type": "object",
  "properties": {
    "target_roles": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Full list of job titles to hunt for. REPLACES the saved list."
    },
    "locations": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "Full list of preferred locations. REPLACES the saved list."
    },
    "remote_only": {
      "type": "boolean",
      "description": "Whether to include remote-friendly positions"
    }
  },
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

aiapplyd_generate_cover_letter

Write a cover letter for a specific job from the resume already saved on the user's AI Applyd account, in their own voice and free of recruiter cliches. Returns the finished letter and saves it to the account. Requires a paid plan (Hired in 30+).

Parameters2

job_description	string	required	Full text of the target job description
company_name	string	required	Name of the company you are applying to

Raw schema

{
  "type": "object",
  "properties": {
    "job_description": {
      "type": "string",
      "minLength": 50,
      "maxLength": 50000,
      "description": "Full text of the target job description"
    },
    "company_name": {
      "type": "string",
      "minLength": 1,
      "maxLength": 200,
      "description": "Name of the company you are applying to"
    }
  },
  "required": [
    "job_description",
    "company_name"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

aiapplyd_auto_apply

Apply to ONE specific job posting end to end: the resume and cover letter are rewritten for that role, then the form is completed and submitted on the employer's own hiring system, not a job board. All fifteen major ATS platforms land: Workday, Greenhouse, Lever, Ashby, Workable, iCIMS, Personio, Recruitee, Teamtailor, Rippling, Breezy, SmartRecruiters, BambooHR, JazzHR, softgarden. Follows the account's review setting: submits directly, or routes to the review queue. Requires a paid plan (Hired in 30+).

Parameters1

job_url

string

required

URL of the job posting to apply to

Raw schema

{
  "type": "object",
  "properties": {
    "job_url": {
      "type": "string",
      "format": "uri",
      "description": "URL of the job posting to apply to"
    }
  },
  "required": [
    "job_url"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

aiapplyd_build_pdf

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. Requires a paid plan (Hired in 30+).

Parameters3

resume_text	string	required	Full text of the resume
template	string	optional	Resume template style (default: classic)
make_public	boolean	optional	Publish a public share link. Anyone with the link sees the resume INCLUDING its contact details. Defaults to false (private). Only set true when the user explicitly asks to share it.

Raw schema

{
  "type": "object",
  "properties": {
    "resume_text": {
      "type": "string",
      "minLength": 50,
      "maxLength": 50000,
      "description": "Full text of the resume"
    },
    "template": {
      "type": "string",
      "enum": [
        "classic",
        "modern",
        "minimal"
      ],
      "description": "Resume template style (default: classic)"
    },
    "make_public": {
      "type": "boolean",
      "description": "Publish a public share link. Anyone with the link sees the resume INCLUDING its contact details. Defaults to false (private). Only set true when the user explicitly asks to share it."
    }
  },
  "required": [
    "resume_text"
  ],
  "additionalProperties": false,
  "$schema": "http://json-schema.org/draft-07/schema#"
}

README.md22 KBView on GitHub

AI Applyd MCP Server

Auto-Apply That Ends on an Interview

Stop applying. Start interviewing.

Score your resume the way the screening software scores it, rewrite it for the exact role, write the cover letter, prepare for the interview, and send the application in on the employer's own hiring system. All from inside the assistant you already work in.

And it keeps the employer's own confirmation. Most tools count applications sent, which is a number the tool awards itself off its own button click. This one reports what the employer's system actually returned, so a real rejection is distinguishable from a form that quietly dropped your application.

Listing page · Website · Privacy · Terms

Most applicants are screened out by software before a person reads a word, and a good number are never screened at all, because the form silently dropped a required field or the upload never attached. From the candidate's side those look identical to rejection, which is why so many people rewrite a CV nobody ever read.

This server puts both halves of that process in your hands: the screening, and the proof that the application arrived.

Only roles that actually fit, scored before you see them

The employer's own system confirming an application arrived

Sent means they got it: every application carries the employer's confirmation

It applies on fifteen hiring systems, where the jobs actually live

You always know where every application stands

_{From the first match to the interview invite. Every application carries the employer's own confirmation.}

Every application goes in on the company's real careers page, under your name, with your own materials. It lands on all fifteen major ATS platforms: Workday, Greenhouse, Lever, Ashby, Workable, iCIMS, Personio, Recruitee, Teamtailor, Rippling, Breezy, SmartRecruiters, BambooHR, JazzHR and softgarden.

Nothing to install. Connect once and run it from Claude, ChatGPT, Codex, Cursor, Gemini CLI, VS Code or any MCP client, and from your phone over iMessage through Poke.

The whole job search in five calls: see your matches (aiapplyd_get_matches), apply to one (aiapplyd_apply, sent automatically or held for your yes), approve or reject what is waiting (aiapplyd_review_application), track every application to the employer's own receipt (aiapplyd_get_applications), and check your plan and what is left (aiapplyd_get_account). The full list is under Tools.

Watch the demo

90 seconds: resume upload, job matching, a real application sent on the employer's own form, the employer's confirmation email, interview prep, and applying from ChatGPT, Claude and Cursor.

Quick start

One click, if your app supports it:

AI Applyd is a hosted remote MCP server. Point your client at one URL:

code

https://mcp.aiapplyd.com/mcp

The first tool call opens an OAuth sign-in. Sign in with Google, and you are connected. A free account needs no card and arrives with a one-time 10,000-token starter grant.

Claude (web, Desktop, Code)

Settings → Connectors → Add custom connector

Field	Value
Name	`AI Applyd`
Remote MCP server URL	`https://mcp.aiapplyd.com/mcp`

In Claude Code, one line does it:

bash

claude mcp add --transport http aiapplyd https://mcp.aiapplyd.com/mcp

Cursor

~/.cursor/mcp.json:

json

{
  "mcpServers": {
    "aiapplyd": {
      "url": "https://mcp.aiapplyd.com/mcp"
    }
  }
}

ChatGPT

Settings → Connectors → Create and paste https://mcp.aiapplyd.com/mcp. ChatGPT speaks MCP natively, so there is no Action schema to import and nothing to host.

VS Code

bash

code --add-mcp '{"name":"aiapplyd","type":"http","url":"https://mcp.aiapplyd.com/mcp"}'

Plugin for Codex, ChatGPT, Claude Code and Cursor

This repository is a plugin marketplace. The aiapplyd plugin bundles the MCP server with five skills, in the portable plugin.json format that Codex, ChatGPT, Claude Code and Cursor read:

Skill	Use it when
`find-matching-jobs`	You want your job matches, want to save or skip one, or want to change what it looks for
`apply-to-a-job`	You want to apply, or you paste a job link and say "apply"
`review-and-send`	You want to see what is waiting for you, change it, and send it
`tailor-for-a-job`	You paste a job description and want the resume, cover letter or interview prep for it
`track-applications`	You ask "did it go through", or how many applications you have left

The same five skills are published for any agent at aiapplyd.com/.well-known/agent-skills/index.json, and the copies here are byte-identical to those (each file matches the sha256 digest in that index).

Codex:

bash

codex plugin marketplace add aiapplyd/aiapplyd-mcp
codex plugin add aiapplyd@aiapplyd

Claude Code:

bash

claude plugin marketplace add aiapplyd/aiapplyd-mcp
claude plugin install aiapplyd@aiapplyd

Codex (CLI, IDE extension and the ChatGPT desktop app)

bash

codex mcp add aiapplyd --url https://mcp.aiapplyd.com/mcp
codex mcp login aiapplyd

The Codex CLI, the IDE extension and the ChatGPT desktop app share this configuration.

Gemini CLI

This repository is also a Gemini CLI extension (gemini-extension.json plus GEMINI.md):

bash

gemini extensions install https://github.com/aiapplyd/aiapplyd-mcp

Or add the server by hand in ~/.gemini/settings.json:

json

{
  "mcpServers": {
    "aiapplyd": { "httpUrl": "https://mcp.aiapplyd.com/mcp" }
  }
}

Zed

Settings → AI → MCP Servers → Add Remote Server, then paste https://mcp.aiapplyd.com/mcp.

Windsurf

~/.codeium/windsurf/mcp_config.json:

json

{
  "mcpServers": {
    "aiapplyd": { "command": "npx", "args": ["-y", "mcp-remote", "https://mcp.aiapplyd.com/mcp"] }
  }
}

Perplexity, Mistral Le Chat and Raycast

Each has a custom connector screen that takes a remote MCP URL. Paste https://mcp.aiapplyd.com/mcp and choose OAuth.

From your phone: iMessage, Telegram and WhatsApp

iMessage / SMS: add AI Applyd to Poke in one tap (or npx poke@latest mcp add https://mcp.aiapplyd.com/mcp -n "AI Applyd"), sign in, then text Poke: "find me remote product designer jobs and apply to the best two".
Telegram, WhatsApp or iMessage on your own server: OpenClaw is a self-hosted gateway. Add the URL as an MCP server and enable the channel you use.

Any client that only speaks stdio

This repository ships a thin bridge. It relays the protocol to the hosted server and adds nothing of its own.

bash

npx -y github:aiapplyd/aiapplyd-mcp

Or with Docker:

bash

docker build -t aiapplyd-mcp .
docker run --rm -i aiapplyd-mcp

json

{
  "mcpServers": {
    "aiapplyd": {
      "command": "docker",
      "args": ["run", "--rm", "-i", "aiapplyd-mcp"]
    }
  }
}

Environment variable	Default	Meaning
`AIAPPLYD_MCP_URL`	`https://mcp.aiapplyd.com/mcp`	Endpoint to relay to. Point it at `https://mcp-preview.aiapplyd.com/mcp` to test against preview.
`AIAPPLYD_TOKEN`	unset	Optional bearer token. Without it the server still answers introspection; tool calls return 401 until an account is connected.

Command line and bots

The same package is a small CLI, so a script, a cron job or a chat bot (Telegram, WhatsApp, iMessage) can run the whole job search without an MCP client.

bash

npx aiapplyd-mcp login                                    # sign in once in the browser
npx aiapplyd-mcp tools                                    # list the tools
npx aiapplyd-mcp call aiapplyd_get_matches '{"limit": 5}' # matched jobs as JSON
npx aiapplyd-mcp call aiapplyd_apply '{"job_match_id": 123, "mode": "review"}'
npx aiapplyd-mcp call aiapplyd_get_applications '{"status": "waiting_for_review"}'
npx aiapplyd-mcp call aiapplyd_review_application '{"decision": "approve", "application_ids": [456]}'

login runs the same OAuth sign-in a desktop client runs and stores the token in ~/.config/aiapplyd/credentials.json (mode 600). It refreshes on its own, so an unattended bot keeps working. call prints the tool's structured result as JSON. Exit code 0 means success, 1 means the tool reported an error, 2 means you are not signed in.

Run with no arguments and it is a stdio MCP server that relays to https://mcp.aiapplyd.com/mcp, signed in with the stored login. AIAPPLYD_TOKEN overrides the stored login and AIAPPLYD_MCP_URL overrides the endpoint.

Endpoints

Environment	Streamable HTTP (modern)	SSE (legacy bridges)
Production	`https://mcp.aiapplyd.com/mcp`	`https://mcp.aiapplyd.com/sse`
Preview	`https://mcp-preview.aiapplyd.com/mcp`	`https://mcp-preview.aiapplyd.com/sse`

Use /mcp. /sse remains only for clients that cannot speak Streamable HTTP.

Tools

The table below is generated from the live tools/list of https://mcp.aiapplyd.com/mcp. Every tool runs on the caller's own AI Applyd account and spends that account's own credits. The server holds no allowance of its own and there is no anonymous tool.

The main loop

Five tools run the whole job search from a chat, or from a bot where a match drops and you reply "yes":

code

aiapplyd_get_matches -> aiapplyd_apply -> aiapplyd_get_applications -> aiapplyd_review_application
                  aiapplyd_get_account (plan, what is left, readiness)

Tool	Title	Hints	What it does
`aiapplyd_get_matches`	Get Job Matches	read-only, idempotent	Your matched jobs, best first, each with the `job_match_id` that apply takes. Also reads full postings, or any posting from a link
`aiapplyd_apply`	Apply to Job	destructive, open-world	Apply to one job by `job_match_id` or `job_url` on the employer's own hiring system. `mode: "auto"` sends it, `mode: "review"` holds it for your yes
`aiapplyd_get_applications`	Get Applications	read-only, idempotent	Every application and where it stands, the review queue, and the employer's own confirmation when it exists
`aiapplyd_review_application`	Approve or Reject Applications	destructive, open-world	Approve (send) or reject waiting applications, up to 25 at once. Also cancel, refine a document, re-prepare, or record the interview stage
`aiapplyd_get_account`	Get Account	read-only, idempotent	Your plan, token balance, applications left, job preferences, and whether your profile is ready to apply

Setup and triage

Tool	Title	Hints	What it does
`aiapplyd_set_resume`	Set Resume	writes, open-world	Put your resume on your account as the base every application is tailored from: pasted text, a file link, or a saved resume
`aiapplyd_triage_matches`	Save or Skip Matches	writes, idempotent	Save a match, or skip it with a reason, so a job you declined stops coming back
`aiapplyd_update_job_preferences`	Update Job Preferences	destructive, idempotent	Point AI Applyd at the roles, locations, salary and seniority you want, and re-run discovery

Resume, cover letter and interview

Tool	Title	Hints	What it does
`aiapplyd_score_resume`	Score Resume	writes, open-world	An ATS score with section scores, the keywords you match and the ones you are missing, and what to change
`aiapplyd_analyze_job_description`	Analyze Job Description	writes, open-world	What a posting screens on, in its own language, so the resume can mirror it
`aiapplyd_optimize_resume`	Optimize Resume with AI	writes, open-world	A resume rewritten to pass ATS screening and still reach a human reader
`aiapplyd_generate_interview_questions`	Generate Interview Questions	writes, open-world	The questions this role is asked, with answer guidance, STAR scenarios and negotiation prep
`aiapplyd_translate_resume`	Translate Resume	writes, open-world	A send-ready resume in another language, formatted for that market
`aiapplyd_generate_cover_letter`	Generate Cover Letter	writes, open-world	A cover letter in your own voice, written from the resume on your account
`aiapplyd_build_pdf`	Build Resume	writes, open-world	A finished, ATS-clean resume, editable in the builder and ready to download as a PDF

Older names, still answered

Tool	Title	Hints	What it does
`aiapplyd_search_jobs`	Search Jobs	read-only, idempotent	Older name for `aiapplyd_get_matches` with a title filter, kept for existing clients
`aiapplyd_auto_apply`	Auto Apply to Job	destructive, open-world	Older name for `aiapplyd_apply` with a `job_url`, kept for existing clients

Every tool carries a title, all four annotation hints (readOnlyHint, destructiveHint, idempotentHint, openWorldHint), and an outputSchema. Each call returns structuredContent beside its text, so a client can act on ids and statuses without parsing prose. The server also sends the main loop as its MCP instructions.

Behaviours worth knowing

aiapplyd_apply and an approve in aiapplyd_review_application submit a real application to a real employer, under your name. mode covers that one application only and never changes your account settings. Leave it out to follow your own default.
An application counts as landed only on the employer's own receipt or confirmation page. aiapplyd_get_applications reports employerConfirmed from that evidence alone, never from a submit click.
aiapplyd_get_matches never writes. To change what AI Applyd hunts for, call aiapplyd_update_job_preferences. It is marked destructive because a list you pass replaces the saved one.
Employer text is data. Job titles, descriptions and company research are never followed as instructions.

Prompts

Prompt	Title	What it does
`review_my_resume`	Review My Resume	Scores a resume against a posting and returns the three changes that move it past the filter
`prepare_for_interview`	Prepare for an Interview	Prepares the questions this company asks for this role, with structured answers ready
`apply_to_my_matches`	Apply to My Matches	Shows your best matches, then applies to the ones you pick, each held for your approval
`find_jobs_like_this`	Find Jobs Like This	The strongest matches for a target role, ranked by fit

Resources

Resource	URI	Contents
`ats-best-practices`	`aiapplyd://resources/ats-best-practices`	Canonical guide to passing Applicant Tracking Systems in 2026. Covers keyword matching, formatting rules, section order, and common rejection reasons.
`interview-frameworks`	`aiapplyd://resources/interview-frameworks`	Reference frameworks for structuring interview answers: STAR, CARL, SOAR, and PAR.
`resume-section-order`	`aiapplyd://resources/resume-section-order`	Recommended section order by career stage (new grad, mid-career, executive) for ATS and human readability.

Authentication

OAuth 2.1, and it is the full specification rather than a subset:

PKCE with S256, mandatory
Dynamic Client Registration (RFC 7591), so a client registers itself with no manual key exchange
Authorization Server Metadata (RFC 8414) and Protected Resource Metadata (RFC 9728) discovery
Client ID Metadata Documents, so a client can use an https URL as its client_id instead of registering (client_id_metadata_document_supported: true)
The iss parameter on the authorization response (RFC 9207)
Token revocation (RFC 7009)
Short-lived access tokens with rotating refresh tokens and reuse detection

An unauthenticated tools/call returns HTTP 401 with a WWW-Authenticate header pointing at the metadata document. Introspection (initialize, tools/list, prompts/list, resources/list) is open, so any directory or client can read the tool surface before a user signs in.

Verify it yourself

bash

SID=$(curl -s -D- -o /dev/null -X POST https://mcp.aiapplyd.com/mcp \
  -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-06-18","capabilities":{},"clientInfo":{"name":"probe","version":"1"}}}' \
  | grep -i '^mcp-session-id' | tr -d '\r' | awk '{print $2}')

curl -s -X POST https://mcp.aiapplyd.com/mcp \
  -H 'Content-Type: application/json' \
  -H 'Accept: application/json, text/event-stream' \
  -H "Mcp-Session-Id: $SID" \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/list"}'

Privacy

Your resume and profile stay on your AI Applyd account. Tools read and write that account and nothing else. The privacy policy and terms are the binding statement.

Support

Issues: github.com/aiapplyd/aiapplyd-mcp/issues
Email: admin@aiapplyd.com

Follow AI Applyd

Website: aiapplyd.com
Pricing: aiapplyd.com/pricing
Blog: aiapplyd.com/blog
X: @aiapplydHQ
LinkedIn: AI Applyd
YouTube: @aiapplyd
TikTok: @aiapplydhq
Instagram: @aiapplyd
Discord: join the community

About this repository

The hosted server runs on Cloudflare Workers and its source is not public. This repository is the public home of the MCP server: the server.json manifest, the connection documentation, and the small stdio bridge above. The bridge is MIT licensed and forwards messages verbatim, so you can read every line of what runs on your machine.

Install

Tools (10)

aiapplyd_score_resumeaiapplyd_analyze_job_descriptionaiapplyd_optimize_resumeaiapplyd_generate_interview_questionsaiapplyd_translate_resumeaiapplyd_search_jobsaiapplyd_update_job_preferencesaiapplyd_generate_cover_letter

Configuration

Environment variables

AIAPPLYD_TOKENsecret

Optional bearer token. Leave unset and run `npx aiapplyd-mcp login` once instead.

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "aiapplyd": {
      "command": "npx",
      "args": [
        "-y",
        "aiapplyd-mcp@1.8.2"
      ],
      "env": {
        "AIAPPLYD_TOKEN": "<YOUR_AIAPPLYD_TOKEN>"
      }
    }
  }
}

MCP Server: com.aiapplyd/aiapplyd

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

⚠️ Limitations

Topics

aiapplyd_score_resume

aiapplyd_analyze_job_description

aiapplyd_optimize_resume

aiapplyd_generate_interview_questions

aiapplyd_translate_resume

aiapplyd_search_jobs

aiapplyd_update_job_preferences

aiapplyd_generate_cover_letter

aiapplyd_auto_apply

aiapplyd_build_pdf

AI Applyd MCP Server

Watch the demo

Quick start

Claude (web, Desktop, Code)

Cursor

ChatGPT

VS Code

Plugin for Codex, ChatGPT, Claude Code and Cursor

Codex (CLI, IDE extension and the ChatGPT desktop app)

Gemini CLI

Zed

Windsurf

Perplexity, Mistral Le Chat and Raycast

From your phone: iMessage, Telegram and WhatsApp

Any client that only speaks stdio

Command line and bots

Endpoints

Tools

The main loop

Setup and triage

Resume, cover letter and interview

Older names, still answered

Behaviours worth knowing

Prompts

Resources

Authentication

Verify it yourself

Privacy

Support

Follow AI Applyd

About this repository

More from AI Applyd

Install

Configuration

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