Name: Arumi
Author: weidotbuild

Arumi MCP

Generate AI images, video and audio with 55 models, priced in credits before you generate.

Tool-list grade A Remote · Streamable HTTP API key 9 tools v1.0.0 MIT

No reviews yet by weidotbuildGitHub The publisher’s own endpoint — this marketplace is not in the path

93/100

tool-list score

tools declared

remote

at its publisher

—

calls last 7d

What it does

Generate AI images, video and audio with 55 models, priced in credits before you generate.

Quickstart

# 1 — add it to Claude Code
claude mcp add --scope user --transport http arumi-mcp https://api.arumi.ai/mcp --header 'Authorization: Bearer ${AUTHORIZATION}'

# 2 — ask your agent for something these tools do
#   complete_upload, create_upload, generate and 6 more

It needs AUTHORIZATION (Bearer followed by your Arumi API key, from https://arumi.ai/api-keys): this sends it in the Authorization header from your environment, so export it first — its endpoint answers 401 without it.

Arumi costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.

Publishernot claimed

weidotbuild1 server

1 category

All 1 server

Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.

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. 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. Claude Code reads AUTHORIZATION (Bearer followed by your Arumi API key, from https://arumi.ai/api-keys) from your environment each time it connects and sends it in the Authorization header — its endpoint answers 401 without it — so the key stays out of its config: export it in your shell profile (macOS, Linux), or run setx AUTHORIZATION … and open a new terminal (Windows).

claude mcp add --scope user --transport http arumi-mcp https://api.arumi.ai/mcp --header 'Authorization: Bearer ${AUTHORIZATION}'

Reconnect, 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 — but its publisher asks for a key of their own on every call.

What it asks of you

It reaches a system of yours, so it needs your own credential rather than the publisher’s: Authorization header — Bearer followed by your Arumi API key, from https://arumi.ai/api-keys. You set it in your own client’s config, on your machine — this marketplace never holds it.

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

9 tools, with what each one reads, writes and reaches shown before you agree — the same list on every route above. Read the tool surface.

Tool surface

What the model actually sees. Descriptions are diffed on every release — see version history.

Only tools that write or reach the network

Finish an upload after the PUT; returns the asset_id to pass in a generation's references.

Parameter	Type	Required	Notes
upload_id	string	yes	—

Start uploading one of the user's files to use as a reference. PUT the file's bytes to upload_url with exactly the returned headers, then call complete_upload.

Parameter	Type	Required	Notes
file_name	string	yes	the file's name, with its extension
content_type	string	yes	for example image/png, image/jpeg, video/mp4, audio/mpeg
size_bytes	integer	yes	—
sha256	string	yes	the file's SHA-256 as 64 lower-case hex characters (shasum -a 256)
width	integer	no	required for images: width in pixels
height	integer	no	required for images: height in pixels

Start a generation with the user's credits. It is refused, with nothing charged, when it would cost more than max_credits. Returns at once with a generation_id: call get_generation until it has succeeded or failed.

Parameter	Type	Required	Notes
model	string	yes	the model id from list_models
prompt	string	no	what to make; for speech models the text to read
parameters	object	no	the model's settings by key (get_model); any left out take the model's default
references	null/object	no	uploaded files the model works from
max_credits	integer	yes	the most credits the user agreed to spend on this generation; it is refused when the quote is higher
idempotency_key	string	no	optional, 16-128 characters [A-Za-z0-9._:-]: repeating a call with the same key returns the same generation instead of making another

The user's Arumi credits: available, held by running generations, and owed. 1 credit = 0.01 USD.

No parameter schema on file.

A generation's status; once it has succeeded, links to its results, and what it charged.

Parameter	Type	Required	Notes
generation_id	string	yes	—

One model's prompt limit, the reference files it takes, and its settings with their allowed values and defaults.

Parameter	Type	Required	Notes
model	string	yes	the model id from list_models

The user's latest generations, newest first, made on the site or through any of their keys.

Parameter	Type	Required	Notes
limit	integer	no	how many, newest first (1–20, default 10)

The models the user can generate with, by kind (image, video, audio, text). get_model gives one model's inputs and settings.

Parameter	Type	Required	Notes
modality	string	no	only this kind: image, video, audio or text

What a generation would cost, in credits, without making it. Tell the user before generating.

Parameter	Type	Required	Notes
model	string	yes	the model id from list_models
prompt	string	no	what to make; for speech models the text to read
parameters	object	no	the model's settings by key (get_model); any left out take the model's default
references	null/object	no	uploaded files the model works from

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

Nothing here is billable: mcprush charges nothing to install Arumi or to call it, at any volume.

ATool-list grade · score 93 / 100

Release 1.0.0 · scanned 7 Nov 2026

Graded from the tools this server lists, not from its source code.

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

Findings0 threat · 0 capability

Capabilitymoderate

Coveragemanifest

Verificationnot in this report

Surface digest7a56e4840c5ea4177fe6ac232b302d57038f656c31a16a4d2d4a246a52bbc1cc

Score vectorthreat 100 → client 93

Term	Level	What it prices	Points
capability-exposure	moderate	capability blast radius (moderate) — client exposure if the model is manipulated	−3
coverage-honesty	manifest	inspection depth (manifest) — how much of the target the scan could see	−4

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.

The scan read each tool’s name, description, input schema and annotations exactly as the server listed them the last time it answered us; no code was reviewed. We ask the server again about once a month, and a list that changed is graded again.

Tool surfaceread

Implementation sourcenot available

Package metadatanot available

Live transportnot available

The implementation source was not read — this reflects the declared tool metadata only.

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. moderate is the level these add up to.

Tool	Capability tags	Why the tag was assigned
complete_upload	no tags
create_upload	no tags
generate	state-write	state-write: declares readOnlyHint: false
get_balance	no tags
get_generation	no tags
get_model	no tags
list_generations	no tags
list_models	no tags
quote	no tags

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 digest7a56e4840c5ea417

Scanned2026-11-07

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.