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@tinify-dev/mcp
Advanced tools
MCP server for the Tinify.dev image API: compress, resize, crop, and convert images from Claude, Cursor, or any MCP client.
MCP (Model Context Protocol) server for the Tinify.dev image API. Lets Claude, Cursor, and any other MCP client compress, resize, crop, and convert local 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.
optimized: false) instead of writing a byte-identical "optimized" copy.<name>.min.<ext> beside the input, or to an explicit output_path. Replacing a file requires overwrite: true.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.
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 mcp add tinify -e TINIFY_API_KEY=tnf_live_... -- npx -y @tinify-dev/mcp
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_..." }
}
}
}
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:
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.Authorization: Bearer tnf_live_... (or tnf_test_...) and skip OAuth entirely. Unchanged.Because the hosted server has no access to your filesystem, the image tools take base64 instead of paths: send image_base64 (optionally with filename), and the result comes back as base64 in structuredContent.image_base64 plus a text summary with byte counts. Inputs are capped at ~28 MB decoded (the 40 MB API limit minus base64 overhead); URLs are not accepted - the server never fetches remote content. get_usage is identical to the local version. Nothing is written to disk on either side.
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.
| 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 <name>.min.<ext> 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: <name>.min.<new-ext>. |
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.
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./Users/you/img.png, not ./img.png.~/Library/Logs/Claude/mcp-server-tinify.log.MIT © Stian Larsen
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
FAQs
MCP server for the Tinify.dev image API: compress, resize, crop, and convert images from ChatGPT, Claude, Cursor, or any MCP client.
The npm package @tinify-dev/mcp receives a total of 427 weekly downloads. As such, @tinify-dev/mcp popularity was classified as not popular.
We found that @tinify-dev/mcp demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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