Comprehensive Model Context Protocol server for managing Home Assistant through AI assistants.
Nothing to run from here
AI Applyd is installed from its publisher's own source and answers where it runs, so this marketplace is not in the path of a single call. There is no address here to send one to, and a panel that pretended otherwise would be showing you an answer we made up. Install it and call it from your own client — the Installation tab has the entry for each one.
93/100
trust score
11
downloads a day
remote
at its publisher
597
downloads in 30d
What it does
AI Applyd finds job matches, writes a resume for each role, applies on the employer's own hiring system (automatically or after your approval) and tracks employer receipts.Hosted server: https://mcp.aiapplyd.com/mcp (Streamable HTTP). The first tool call opens an OAuth sign-in with your AI Applyd account.Local option: the MIT-licensed npm package aiapplyd-mcp is a stdio bridge to the same hosted service. Run npx aiapplyd-mcp login once, then npx -y aiapplyd-mcp.Your AI Applyd plan and its usage limits apply to every tool. Setup: aiapplyd.com/mcps. Plans: aiapplyd.com/pricing.
Quickstart
Before it works — Needs an AI Applyd account: the first tool call opens an OAuth sign-in, and your plan's usage limits apply to every tool (plans: aiapplyd.com/pricing, setup: aiapplyd.com/mcps).
# 1 — add it to Claude Code
claude mcp add --scope user --transport http aiapplyd-ai-applyd-mcp https://mcp.aiapplyd.com/mcp
AI Applyd costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for. AI Applyd itself has its own plans, which mcprush does not sell or bill.
PublisherVerified · since 2026
Installation
Where are you running it?
Every route below installs the same thing and ends at the same approval screen. Nothing here runs on your machine and nothing runs on ours: this server answers at its publisher’s own address, and what you install is the connection straight to it.
Claude Codedeclared by this listing
This is a public server: it answers at its publisher’s own address and this marketplace is not in the path. Before it works: Needs an AI Applyd account: the first tool call opens an OAuth sign-in, and your plan's usage limits apply to every tool (plans: aiapplyd.com/pricing, setup: aiapplyd.com/mcps). Claude Code registers it in one command; --scope user makes it available in every project. The transport below is http, as the publisher's own manifest declares it. Its publisher asks you to sign in with OAuth: run /mcp in Claude Code and pick this server, and it opens a browser for that once.
claude mcp add --scope user --transport http aiapplyd-ai-applyd-mcp https://mcp.aiapplyd.com/mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it answers at its publisher’s own address: this marketplace is not in the path, so there is no key of ours to hold and no card to add — the only sign-in is its publisher’s own, with OAuth.
What it writes
One config entry pointing straight at the publisher’s own address — this marketplace is not in the path, and nothing from this listing executes on your machine.
What you approve
This listing has not published its tool surface here yet, so what a client will ask you to approve is whatever the manifest declares at install time.
Tool surface
What the model actually sees. Descriptions are diffed on every release — see version history.
No tool surface on file
This listing has not published its tool list here yet. Nothing is shown here rather than another listing’s tools, which is what this page used to do.
Free
$0 forever
- Every tool — any call limit is its publisher’s, not ours
- No card, and mcprush charges nothing for it
- Runs at its publisher’s own address — this marketplace is not in the path
- Nothing to cap, because mcprush bills nothing
- AI Applyd itself has its own plans, which mcprush does not sell or bill
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install AI Applyd or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
—
Alert at 80% · then the tool returns a normal MCP error
Used this month: —
ATrust score 93 / 100
Release 1.8.5 · scanned 11 Oct 2026
Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.
Threat score100
Client score93
Findings1 threat · 0 capability
Capabilityhigh
Coveragesource
Verificationrepo
Surface digest8e324687727c80d24e3a40339f8bb303ab26689b1b468a60c3b55b6b1c4c1fdb
Score vectorthreat 100 → client 93
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | high | capability blast radius (high) — client exposure if the model is manipulated | −6 |
| verification-discount | repo | publisher verification (public source) — no provenance, but the source is public and inspectable | −1 |
| coverage-honesty | source | inspection depth (source) — how much of the target the scan could see | −0 |
score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.
What the scan could actually read
A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.
Tool surfacenot available
Implementation sourceread
Package metadataread
Live transportnot available
No tools were enumerated, so prompt-injection, capability and toxic-flow analysis had no tool surface to inspect. To grade a package’s real runtime tools, scan the running server: --command "npx -y <package>".
Capability — what it could do if the model were manipulated
Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. high is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| No per-tool rows for this release — see the note below. | ||
can execute shell commands or code
Toxic-flow graph
The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.
The public result for this release does not print the flow graph, so there is nothing to show here. That is not the same as "no paths were found": what the scan did read is above, under coverage.
Supply chain and provenance
Integrityfirst-seen
Surface digest8e324687727c80d2
Scanned2026-10-11
This is the first scan of this surface here, so there is nothing yet to compare it against.
Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.
Release history
This is an address its publisher runs: which release it serves is theirs to choose, so there is nothing here to pin. The history below is for reading; the current release on file is 1.8.5.
1.8.5
11 Oct 2026
latestNo release note was published with this version.
1.8.3
5 Oct 2026
No release note was published with this version.
1.8.2
undated
- The version this listing was on when mcprush began following its releases. The registry was not asked when it shipped, so this row carries no date.
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no reviews yet
Who can review
One review per account, from a signed-in account that does not publish this listing. Nothing else is asked — you can say what you think before you install it. Publishers can reply once per review, and a review can be edited or deleted by whoever wrote it.
Sign in to write one
Any signed-in account that does not publish AI Applyd can review it, once — before installing it or after. A review from an account that has installed it is marked as one.
No reviews yet
Nobody has reviewed this listing. The rating on the card is the mean of the reviews written here and nothing else, so there is no rating until somebody writes the first — which takes a signed-in account that does not publish it, and nothing else.