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Tanvo

NPM · TANVO-MCP

AI photo, video and song apps plus image, video and music generation on Tanvo (tanvo.ai).

Available components

+4 this week 73 Trust /100

Last scanned (9 hours ago)

Scores higher than 45% of npm servers

Category Design and Media

Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security81
  • No malware found by supply-chain analysis.Pass
  • CVE check failed: a known high-severity CVE affects zod 3.25.76, a direct dependency. A fixed version is available. View diagnostics → Fail
  • No install/post-install scripts declared.Pass
  • 30 of 93 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency45
Schema Quality & AI Usability63
  • AI-judged instruction clarity (good).Pass
  • Context-footprint check failed: tool/resource definitions use about 1561 tokens (~156/item across 10 items; 10 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management73
  • Stability observed for 22 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage96
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 89% of tool parameters carry a description.Partial
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 10 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 11 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 5 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 70 to 73. That category is still filling its 30-day observation window: 21 days of observed history at the previous scan, 22 at this one. The score rises as the window fills, whether or not the server changes.

  • 3 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 63 to 67. That category is still filling its 30-day observation window: 19 days of observed history at the previous scan, 20 at this one. The score rises as the window fills, whether or not the server changes.

  • 1 Nov 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 57 to 60. That category is still filling its 30-day observation window: 17 days of observed history at the previous scan, 18 at this one. The score rises as the window fills, whether or not the server changes.

  • 30 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 50 to 53. That category is still filling its 30-day observation window: 15 days of observed history at the previous scan, 16 at this one. The score rises as the window fills, whether or not the server changes.

  • 28 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.

  • 25 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 33 to 37. That category is still filling its 30-day observation window: 10 days of observed history at the previous scan, 11 at this one. The score rises as the window fills, whether or not the server changes.

  • 24 Oct 26 −5
    • CVE-2023-54404 affects this package: high ▼ security
    • Known CVEs: pass → fail ▼ security
  • 23 Oct 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 27 to 30. That category is still filling its 30-day observation window: 8 days of observed history at the previous scan, 9 at this one. The score rises as the window fills, whether or not the server changes.

Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 5 Nov 2026 · Analysed npm/tanvo-mcp@0.2.1

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem npm

Background: How many MCP packages publish verified provenance →

Vulnerabilities 1 finding
ID CVE Severity Vector Fix available
GHSA-mrhx-c7xc-m3w5 CVE-2023-54404 high CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H yes

Background: What a vulnerability scan can and cannot prove →

Dependencies 93 packages
Packages resolved 93
Stale 30
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 10 exposed · ~1,442 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
account ~30

Who the server runs as (an API key account or the anonymous free tier) and how many credits are left.

Input schema present but exposes no named parameters.

No output schema declared.

No examples provided.

find_apps ~137

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. Use get_app for the looks, then generate_from_app to run one.

NameTypeReqDescription
kindstring–Only apps that make this kind of media
limitinteger––
querystring–What the user wants, in their words. Leave empty to list trending apps.

No output schema declared.

No examples provided.

generate_from_app ~235

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 get_app) and refunds failures. Needs TANVO_API_KEY unless the look runs on the free engine.

NameTypeReqDescription
appstringyesApp slug from find_apps
detailsstring–Optional personal detail woven into the prompt, e.g. 'for my sister Ana' or 'wearing a red scarf'
lookstring–Look id from get_app; defaults to the first look
photosarray–Photos as local file paths or public https URLs. Local files are uploaded for you.
save_tostring–Optional folder to download the results into (defaults to TANVO_OUTPUT_DIR when set)
waitboolean–Wait for the result. Defaults to true for images and songs, false for video.

No output schema declared.

No examples provided.

generate_image ~250

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.

NameTypeReqDescription
aspectstring–1:1, 16:9, 9:16, 4:3, 3:4 … as the model allows (default: the model's)
formatstring––
imagesarray–Photos as local file paths or public https URLs. Local files are uploaded for you.
modelstring–Model id from list_models
promptstringyesWhat to make: subject, setting, light and style. For edits, say what to change and what to keep.
resolutionstring–1K, 2K or 4K where the model supports it (default: the model's)
save_tostring–Optional folder to download the results into (defaults to TANVO_OUTPUT_DIR when set)
waitboolean–Wait for the image (usually under a minute)

No output schema declared.

No examples provided.

generate_music ~210

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 credits a run; needs TANVO_API_KEY.

NameTypeReqDescription
modestring––
promptstringyes–
save_tostring–Optional folder to download the results into (defaults to TANVO_OUTPUT_DIR when set)
stylestring–Genre, instruments, tempo, voice, e.g. 'acoustic pop, hand claps, warm female vocal'
titlestring–Song title (Lyrics and Instrumental modes)
vocalstring–Lean towards a male or female voice (Lyrics mode)
waitboolean–Wait for the songs (usually about a minute)

No output schema declared.

No examples provided.

generate_video ~258

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.

NameTypeReqDescription
aspectstring–16:9, 9:16, 1:1 … (default: the model's)
audioboolean–Native sound on models that offer it
durationinteger–Seconds; one of the model's options (default: the model's)
end_imagestring–End frame on models that support it
imagestring–Start frame: a local path or a public https URL
modelstring–Model id from list_models
promptstringyesOne scene: subject, action, camera movement, light and style
resolutionstring–480p, 720p, 1080p or 4K where supported (default: the model's)
save_tostring–Optional folder to download the results into (defaults to TANVO_OUTPUT_DIR when set)
waitboolean–Wait for the clip (up to 8 minutes)

No output schema declared.

No examples provided.

get_app ~60

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.

NameTypeReqDescription
appstringyesApp slug from find_apps

No output schema declared.

No examples provided.

get_generation ~70

Status and outputs of a run started earlier (poll this for videos).

NameTypeReqDescription
idstringyes–
save_tostring–Optional folder to download the results into (defaults to TANVO_OUTPUT_DIR when set)
waitboolean–Wait up to 2 minutes for it to finish

No output schema declared.

No examples provided.

list_models ~64

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.

NameTypeReqDescription
kindstring–Filter by media kind

No output schema declared.

No examples provided.

open_in_tanvo ~128

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.

NameTypeReqDescription
appstring–App slug from find_apps
kindstring–Studio to open when no app is given
lookstring–Look id from get_app
modelstring–Model id to open the studio on
promptstring–Prompt to prefill

No output schema declared.

No examples provided.

Install

How do I install the Tanvo MCP server?

Tanvo runs locally as an npm package, launched with npx -y tanvo-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

npm · tanvo-mcp

# add to Claude Code
claude mcp add ai-tanvo-tanvo-mcp -- npx -y tanvo-mcp
Common questions

What is the Tanvo MCP server?

Tanvo is an MCP server listed in the public MCP registry as ai.tanvo/tanvo-mcp. AI photo, video and song apps plus image, video and music generation on Tanvo (tanvo.ai). This page covers its npm package (tanvo-mcp).

Is the Tanvo MCP server safe to use?

Tanvo scores 73 out of 100 on VerifyMCP. We recorded 1 known advisory against it as of 5 November 2026. It declares no install or post-install scripts. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Tanvo MCP server expose?

Tanvo exposes 10 tools: find_apps, get_app, list_models, account, generate_from_app, and 5 more. Their descriptions and schemas cost roughly 1,442 tokens of context every time the server is loaded.

Is the Tanvo MCP server still maintained?

Tanvo is still listed as active in the MCP registry. We last reached this channel on 5 November 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.

What licence is the Tanvo MCP server under?

Tanvo declares the MIT licence, which is OSI-approved. That covers the source only, and says nothing about the cost of any service it calls.