Tinify image tools

Name: Tinify image tools
Author: Stianlars1

by Stianlars1version 0.1.7i★ –iRuns on your computer

Registry namedev.tinify/mcp

Install

Overview

Description from the maker (original English)

Compress, resize, crop, and convert images with the Tinify.dev API from any MCP client.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Design, images & audio
You need to fill in: TINIFY_API_KEY

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: TINIFY_API_KEY, TINIFY_BASE_URL

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "tinify": {
      "command": "npx",
      "args": [
        "-y",
        "@tinify-dev/mcp"
      ],
      "env": {
        "TINIFY_API_KEY": "your-value",
        "TINIFY_BASE_URL": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add tinify --env TINIFY_API_KEY=your-value --env TINIFY_BASE_URL=your-value -- npx -y @tinify-dev/mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "tinify": {
      "command": "npx",
      "args": [
        "-y",
        "@tinify-dev/mcp"
      ],
      "env": {
        "TINIFY_API_KEY": "your-value",
        "TINIFY_BASE_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "tinify": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@tinify-dev/mcp"
      ],
      "env": {
        "TINIFY_API_KEY": "your-value",
        "TINIFY_BASE_URL": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

TINIFY_API_KEY secret required env
Tinify.dev API key (tnf_live_* or tnf_test_*), created at https://tinify.dev/developers. Free tier: 500 operations/month.
TINIFY_BASE_URL env
Override the API origin (advanced; defaults to https://api.tinify.dev).

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain tinify.dev (the registry checks domain ownership)
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Design, images & audioi

More stars than 0% of the other 2175 servers in this category
Published to the registry more recently than 21% of the other 2175 servers in this category
Basic checks equal to or better than 100% of the other 2175 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Tinify image tools safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

You need to fill in: TINIFY_API_KEY

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.7) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

Runs on your computer★ 16,165MITUpdated 5 months ago

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Claude Real Video

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Let any LLM watch a video locally — and search everything it has ever watched.

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Figma MCP Server

by figma

Figma’s official server gives AI your design data so it can turn designs into code or describe them accurately. Connects to Figma’s cloud.

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Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

@tinify-dev/mcp

MCP (Model Context Protocol) server for the Tinify.dev image API. Lets ChatGPT, Claude, Cursor, and other MCP clients compress, resize, crop, and convert images — with honest results.

You: compress the screenshots in ~/Desktop/launch/

Claude: 312.4 KB → 97.1 KB (-68.9%), wrote /Users/you/Desktop/launch/hero.min.png 84.2 KB → 84.2 KB — logo.png is already as small as Tinify.dev can make it (optimized: false), so no file was written.

Never lies about savings — when the API cannot shrink a file it says so (optimized: false) instead of writing a byte-identical "optimized" copy.
Never overwrites your originals silently — results go to .min. beside the input, or to an explicit output_path. Replacing a file requires overwrite: true.
Raw numbers in `structuredContent` on every call, so agents can do math instead of parsing prose.

Not affiliated with TinyPNG. This server talks to the Tinify.dev API.

Requirements

Node.js >= 20
A Tinify.dev API key from tinify.dev/developers — free tier is 500 operations/month, no card required.

Setup

Claude Desktop

Add to claude_desktop_config.json (Settings → Developer → Edit Config):

"mcpServers": { "tinify": { "command": "npx", "args": ["-y", "@tinify-dev/mcp"], "env": { "TINIFY_API_KEY": "tnf_live_..." } } } }

Claude Code

claude mcp add tinify -e TINIFY_API_KEY=tnf_live_... -- npx -y @tinify-dev/mcp

Cursor

Create .cursor/mcp.json in your project (or ~/.cursor/mcp.json globally):

"mcpServers": { "tinify": { "command": "npx", "args": ["-y", "@tinify-dev/mcp"], "env": { "TINIFY_API_KEY": "tnf_live_..." } } } }

Remote server (hosted)

The same five tools are available as a hosted streamable-HTTP MCP server - no install, works from ChatGPT connectors, the claude.ai directory, and any registry that expects a URL:

Endpoint:  https://api.tinify.dev/mcp

Auth: OAuth 2.1 (PKCE + dynamic client registration), or Authorization: Bearer tnf_live_... (or tnf_test_...)

Two ways to authenticate:

OAuth (for connectors) - ChatGPT connectors and the claude.ai directory only speak "OAuth" or "no auth". Add the server by its URL (https://api.tinify.dev/mcp) and pick OAuth; the client discovers the authorization and token endpoints automatically from the server's .well-known metadata, registers itself, and opens a Connect Tinify page where you paste your Tinify API key. Your key stays the credential - the client only ever holds an opaque token that maps back to it server-side.
Direct bearer (for scripts/CLIs) - send Authorization: Bearer tnf_live_... (or tnf_test_...) and skip OAuth entirely. Unchanged.

ChatGPT developer-mode connection

In ChatGPT, open Settings → Security and login and enable Developer mode.
Open ChatGPT Plugins, select the plus button, and add https://api.tinify.dev/mcp.
Complete Connect Tinify with a Tinify API key.
Add the connection from the conversation's tools menu, attach a PNG/JPEG/WebP/AVIF, and ask:

   Use Tinify to compress this image for the web. Show the original size,

result size, and percentage saved.

The hosted server cannot access local paths, so each image tool accepts exactly one of:

image — the ChatGPT attachment object. ChatGPT fills this automatically because the descriptor advertises openai/fileParams.
image_base64 — a portable fallback for other MCP clients, capped at ~28 MB decoded.

ChatGPT attachment downloads are HTTPS-only, reject private/reserved network targets and redirects, time out after 30 seconds, and are capped at the Tinify API's 40 MB limit. Successful operations return exact byte metrics and a temporary MCP result link. Existing base64 callers also receive structuredContent.image_base64 for backwards compatibility. get_usage is identical to the local version. Nothing is written to the user's filesystem.

Try it with curl:

curl -s https://api.tinify.dev/mcp \

-H "Authorization: Bearer tnf_live_..." \ -H "Content-Type: application/json" \ -H "Accept: application/json, text/event-stream" \ -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2025-03-26","capabilities":{},"clientInfo":{"name":"curl","version":"0"}}}'

For local files, prefer the stdio server above - it reads and writes them directly with no base64 round-trip and no 28 MB cap.

One server, two transport adapters

This repository intentionally supports both OpenAI and Claude:

The shared tool names, Tinify client, result metrics, errors, and annotations are platform-neutral.
The stdio adapter uses absolute local paths and writes files for desktop/CLI clients such as Claude, Cursor, and Codex.
The hosted adapter uses ChatGPT file attachments or base64 and returns temporary result links because hosted servers cannot read a user's filesystem.

An OpenAI-only repository would duplicate the Tinify logic and make behavior drift more likely. OpenAI-specific descriptor metadata stays as a small additive layer in the hosted adapter; a separate repository is not needed.

For public OpenAI submission, set the portal-provided domain token as OPENAI_APPS_CHALLENGE_TOKEN in /etc/tinify/mcp-http.env and deploy the matching nginx location from deploy/nginx-location.conf. The endpoint returns only that token at /.well-known/openai-apps-challenge; do not commit the real portal token.

Tools

Tool	Arguments	Does
`compress_image`	`path` (absolute), `output_path?`, `quality_mode?` (`balanced`/`best_quality`/`lossless`), `target_size_kb?` (beta), `overwrite?`	Compresses PNG/JPEG/WebP/AVIF. Writes `.min.` beside the input. When the API returns `optimized: false`, nothing is written (unless you asked for an explicit `output_path`).
`resize_image`	`path`, `width?`/`height?`/`scale?` (at least one), `keep_aspect_ratio?`, `output_path?`, `overwrite?`	Resizes and writes the result.
`crop_image`	`path`, `x`, `y`, `width`, `height`, `output_path?`, `overwrite?`	Crops to a rectangle and writes the result.
`convert_image`	`path`, `format` (`avif`/`webp`/`jpeg`/`png`), `quality_mode?`, `output_path?`, `overwrite?`	Converts formats (beta — the endpoint is rolling out server-side). Default output: `.min.` .
`get_usage`	—	Plan, billing period, operations used and remaining.

All image tools require absolute paths (MCP servers run with an unpredictable working directory) and pre-check the 40 MB API limit locally. API errors come back as readable tool errors with the error code and request_id to quote to support.

Example prompts

"Compress every PNG in /Users/me/site/static/img"
"Resize /Users/me/photo.jpg to 1200px wide and tell me how many bytes it saved"
"Convert /Users/me/hero.png to webp with best quality"
"How many Tinify operations do I have left this month?"

Limits and privacy

Max 40 MB / 50 MP per image; PNG, JPEG, WebP, AVIF.
Uploaded images and results are deleted from Tinify.dev servers after 2 hours.
The server only reads the files you point it at and only writes where it tells you it wrote.

Troubleshooting

"TINIFY_API_KEY is not set" — the server exits at startup with the exact config snippet to fix it. Add the key to the env block of your MCP config.
`invalid_api_key` — the key is wrong or revoked; create a new one at tinify.dev/developers.
`quota_exhausted` (429) — the monthly quota is used up; run get_usage to see the period end.
"path must be absolute" — pass full paths like /Users/you/img.png, not ./img.png.
Logs go to stderr; in Claude Desktop see ~/Library/Logs/Claude/mcp-server-tinify.log.

Roadmap

Batch tools (create/commit/wait/download) on top of the durable batch API — not in v1.

License

One-click / one-line installs

Cursor: Add to Cursor - then set your real key in Cursor's MCP settings.

VS Code:

code --add-mcp '{"name":"tinify","command":"npx","args":["-y","@tinify-dev/mcp"],"env":{"TINIFY_API_KEY":"tnf_live_..."}}'

Codex CLI:

codex mcp add tinify --env TINIFY_API_KEY=tnf_live_... -- npx -y @tinify-dev/mcp

or in ~/.codex/config.toml:

[mcp_servers.tinify]

command = "npx" args = ["-y", "@tinify-dev/mcp"]

[mcp_servers.tinify.env] TINIFY_API_KEY = "tnf_live_..."

Claude Code plugin (MCP + image-optimization skill):

/plugin marketplace add Stianlars1/tinify-claude-plugin

/plugin install tinify@tinify

More: https://tinify.dev/mcp

Tinify image tools

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Design, images & audioi

Common questions

Alternatives

Figma Context MCP

Claude Real Video

Figma MCP Server

README from the maker

@tinify-dev/mcp

Requirements

Setup

Claude Desktop

Claude Code

Cursor

Remote server (hosted)

ChatGPT developer-mode connection

One server, two transport adapters

Tools

Example prompts

Limits and privacy

Troubleshooting

Roadmap

License

One-click / one-line installs