AI Applyd MCP Server

September 24, 2026 · View 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.

Quick start

One click, if your app supports it:

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

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:

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

Cursor

~/.cursor/mcp.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

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

Plugin for Codex, ChatGPT and Claude Code

This repository is a plugin marketplace. The aiapplyd plugin bundles the MCP server with three skills (find matching jobs, tailor for a job, apply to a job), in the portable plugin.json format that Codex, ChatGPT and Claude Code all read.

Codex:

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

Claude Code:

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

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

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

~/.gemini/settings.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:

{
  "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.

npx -y github:aiapplyd/aiapplyd-mcp

Or with Docker:

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

{
  "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.

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

Ten tools. Every one 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.

Tool	Read-only	What you get
`aiapplyd_score_resume`	yes	An overall ATS score plus section scores, the keywords you match, the ones you are missing, and what to change
`aiapplyd_analyze_job_description`	yes	What the posting screens on, in its own language
`aiapplyd_generate_interview_questions`	yes	The questions this role is asked, with answer guidance and negotiation prep
`aiapplyd_search_jobs`	yes	The roles worth pursuing, scored against your profile
`aiapplyd_optimize_resume`	no	A resume that passes ATS screening and still reaches a human reader
`aiapplyd_translate_resume`	no	A send-ready resume in another language, formatted for that market
`aiapplyd_generate_cover_letter`	no	A cover letter in your own voice, from the resume already on your account
`aiapplyd_build_pdf`	no	A finished, ATS-clean resume, editable in the builder and ready to download
`aiapplyd_update_job_preferences`	destructive	Direct the search at the roles and locations you are targeting. A supplied list replaces the stored one.
`aiapplyd_auto_apply`	destructive	One specific job, applied for end to end on the employer's own system

Every tool declares readOnlyHint and destructiveHint, so a client can tell at a glance which calls change something in the world.

Two behaviours worth knowing

aiapplyd_search_jobs never writes. It reads your saved matches. To change what AI Applyd hunts for, call aiapplyd_update_job_preferences.
aiapplyd_auto_apply submits a real application to a real employer. It follows the review setting already on your account: auto-approve submits on its own, co-pilot routes it to your review queue. It never changes that setting, and it never applies to anything but the one job URL you hand it.

Prompts

Prompt	What it does
`review_my_resume`	Scores a resume against a posting and returns the three changes that move it past the filter
`prepare_for_interview`	Prepares the questions this company asks, with structured answers ready
`find_jobs_like_this`	The strongest matches for a target role, ranked by fit

Resources

Resource	Contents
`ats-best-practices`	Canonical ATS rules, keyword strategy, and formatting pitfalls
`interview-frameworks`	STAR, CARL, SOAR and PAR answer frameworks for behavioural interviews
`resume-section-order`	Optimal resume section order by career stage

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
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

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.