AI Applyd MCP Server
MCP serverEverything elseAuto-apply that ends on an interview. ATS scoring, per-role resumes, cover letters, interview prep.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use AI Applyd MCP Server
Install AI Applyd MCP Server
The server’s own address, for the clients that take one directly. Or connect ahel onceand every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.
Claude Code
claude mcp add --transport http ai-applyd-mcp-server 'https://mcp.aiapplyd.com/mcp'Run it once in your project, then open /mcp to approve any sign-in the server asks for.
Claude Desktop
https://mcp.aiapplyd.com/mcpAdd a custom connector in Settings, paste this address, and approve the sign-in.
Cursor
cursor://anysphere.cursor-deeplink/mcp/install?name=ai-applyd-mcp-server&config=eyJ1cmwiOiJodHRwczovL21jcC5haWFwcGx5ZC5jb20vbWNwIn0=Open the link and Cursor adds the server at that address.
ChatGPT
https://mcp.aiapplyd.com/mcpIn Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.
Codex
codex mcp add ai-applyd-mcp-server --url 'https://mcp.aiapplyd.com/mcp'Run it once, then sign in with codex mcp login ai-applyd-mcp-server if the server asks for an account.
From the project's README
As published by aiapplyd/aiapplyd-mcp in README.md.
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.
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, Cursor or any MCP client.
Quick start
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"}'
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_jobsnever writes. It reads your saved matches. To change what AI Applyd hunts for, callaiapplyd_update_job_preferences.aiapplyd_auto_applysubmits 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.
More from AI Applyd
- AI Applyd - auto-apply that ends on an interview
- How the MCP server works - setup for Claude, ChatGPT and Cursor
- Pricing - free to start, no card
- Blog - how hiring systems actually screen you
- FAQ - resume parsing, ATS behaviour, what "application received" means
- Compare - AI Applyd against the other job-application tools
- Four things that cost us money while automating job applications - engineering write-up
Built by AI Applyd. Questions: ava@aiapplyd.com
Advanced
- Delivery
- aiapplyd MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
- Catalog kind
- mcp-server
- Gateway key
com-aiapplyd-aiapplyd- Source
- github.com/aiapplyd/aiapplyd-mcp
- Hosted endpoint
https://mcp.aiapplyd.com/mcp