Blender integration through the Model Context Protocol
Nothing to run from here
Tanvo 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.
99/100
trust score
13
downloads a day
local
runs on your machine
528
downloads in 30d
What it does
AI photo, video and song apps plus image, video and music generation on Tanvo (tanvo.ai).
Quickstart
# 1 — add it to Claude Code
claude mcp add --scope user tanvo-mcp '--' npx -y tanvo-mcp
# 2 — ask your agent for something these tools do
# find_apps, get_app, list_models and 7 more
Tanvo costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.
Publishernot claimed
TAAll 1 server
tanvo1 server
1 category
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. This one runs on your machine: your client starts Tanvo as a process under your own user, with your files and your network, so the tool surface below is what it can do to your computer rather than to a server somewhere else. Its scan result is on the Security tab — read the surface before you approve it.
Claude Codedeclared by this listing
This is a public server: you run it yourself and this marketplace is not in the path. You need Node.js — the current LTS (24) is the safe choice; npx comes with it. Claude Code registers it in one command; --scope user makes it available in every project. The '--' is in quotes so that PowerShell passes it on.
claude mcp add --scope user tanvo-mcp '--' npx -y tanvo-mcpReconnect, or start a new session, and the tools appear in the model’s tool list.
Free on mcprush, and it runs from its publisher’s own package: this marketplace is not in the path, so there is no key of ours to hold and no card to add.
What it asks of you
Nothing is required, but it can take TANVO_API_KEY (API key from tanvo.ai Settings → API keys. Optional: without it only the free house image engine runs.), TANVO_OUTPUT_DIR (Optional folder to save results into) if you want to set them.
What it writes
One config entry your client uses to start the process locally. A local server runs with your file system and your network, which is why it is priced without metering.
What you approve
10 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.
Search Tanvo's ready-made AI apps (photo effects, trends, portraits, product shots, video effects, songs) by what the user wants, e.g. 'royal pet portrait', 'action figure of me', 'old photo restoration', 'dancing video', 'birthday song'. Each app has tuned preset looks with real example outputs.…
No parameter schema on file.
One Tanvo app: the photos it needs, its preset looks (each with an example output and the prompt behind it), the model it runs on and the link that opens it in the browser.
No parameter schema on file.
Every image, video and music model with the options each accepts (aspect, resolution, duration, format, audio), how many reference images it takes, whether the free tier covers it, and its credit cost at default settings.
No parameter schema on file.
Who the server runs as (an API key account or the anonymous free tier) and how many credits are left.
No parameter schema on file.
Run one of Tanvo's apps with one of its looks on the user's photos, e.g. the 'renaissance' look of a pet portrait app. Photos go in the order of the app's inputs (see get_app). Uses the look's tuned prompt and model; details adds the user's own touch. Charges the look model's credits (shown by…
No parameter schema on file.
Text to image, or an edit / combination when images are given. Returns the image (inline when small) and its URL. The free tier runs studio-image-v1 without a key; other models need TANVO_API_KEY. Credits are charged per run and refunded if it fails.
No parameter schema on file.
Text to video, or animate a still when image is given (optionally ending on end_image). Video takes one to several minutes, so by default this returns at once with an id for get_generation. Needs TANVO_API_KEY.
No parameter schema on file.
Makes two takes of a song on Suno V6, each an MP3 with cover art, a title and the lyrics as sung. Modes: Describe (prompt is one sentence about the song; lyrics are written for you), Lyrics (prompt is your lyrics, with [Verse] [Chorus] [Bridge] tags), Instrumental (prompt describes the sound). 60…
No parameter schema on file.
Status and outputs of a run started earlier (poll this for videos).
No parameter schema on file.
A link that opens Tanvo ready to go: an app on a chosen look, or the image / video / music studio with a model and prompt filled in. Use it when the user wants to upload photos and tweak settings themselves, or has no API key.
No parameter schema on file.
Free
$0 forever
- Every tool, no call limit
- No card, and mcprush charges nothing for it
- Source published under MIT
- Runs on your machine — nothing of it reaches our gateway
- Nothing to cap, because mcprush bills nothing
What counts against your monthly calls
| Tool | Unit | Calls used | Out of the allowance |
|---|
Nothing here is billable: mcprush charges nothing to install Tanvo or to call it, at any volume.
Call allowance · this installenforced at the gateway
Monthly allowance, in calls
—
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Alert at 80% · then the tool returns a normal MCP error
Used this month: —
ATrust score 99 / 100
Release 0.2.1 · scanned 15 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 score99
Findings0 threat · 0 capability
Capabilityminimal
Coveragesource
Verificationrepo
Surface digest85fbd40827c522e30dd2070dfd495f8ccad2902b807f70c1337a90fc9e1236b3
Score vectorthreat 100 → client 99
| Term | Level | What it prices | Points |
|---|---|---|---|
| capability-exposure | minimal | capability blast radius (minimal) — client exposure if the model is manipulated | −0 |
| 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 surfaceread
Implementation sourceread
Package metadataread
Live transportnot available
Tools were statically extracted from the published source (10 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, 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. minimal is the level these add up to.
| Tool | Capability tags | Why the tag was assigned |
|---|---|---|
| find_apps | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| get_app | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| list_models | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| account | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| generate_from_app | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| generate_image | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| generate_video | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| generate_music | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| get_generation | untrusted-input | untrusted-input: declares openWorldHint: true (interacts with entities outside the server) |
| open_in_tanvo | 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 digest85fbd40827c522e3
Scanned2026-10-15
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
Always latest — the install command names no version, so it installs the newest release when it runs; the current release on file is 0.2.1. Pin a release below and the command asks for exactly that one.
0.2.1
9 Oct 2026
latestNo release note was published with this version.
0.2.0
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.
—
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 Tanvo 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.