Clipboard Vision
БесплатноНе проверенEnables text-only AI models to understand clipboard images by describing them through a vision model, eliminating manual file saving.
Описание
Enables text-only AI models to understand clipboard images by describing them through a vision model, eliminating manual file saving.
README
Add vision to text-only models in Opencode (DeepSeek V4, GLM 5.1) — see the image in your clipboard directly, no manual file saving.
Tested on Windows 11 + Opencode + DeepSeek V4 Pro. Multi-OS clipboard support (Windows / macOS / Linux X11 / Linux Wayland).
Forked from itcomgroup/vision-mcp-server — rewritten around clipboard-first tools, security hardening, cross-platform clipboard extraction, and one-prompt AI install.
The problem
Cheap/fast text-only models like DeepSeek V4 and GLM 5.1 are great for code, but they cannot read images. Every time you paste a screenshot, the model asks you to save it to disk and provide a path.
The fix
This MCP server exposes *_from_clipboard tools. When the LLM needs to see your screenshot, it calls analyze_clipboard — the server reads the clipboard image, sends it to a real vision model (Groq + Qwen 3.6 27B, free tier), and returns a text description the text model can reason about.
Result: paste → ask → done. No file shuffling.
🤖 One-prompt install via AI (recommended)
Instead of running the steps below manually, paste one of these prompts into any coding assistant (DeepSeek, GLM, Claude, GPT, ...) and it will set everything up for you end-to-end — clone, venv, deps, MCP config, keybindings:
Prefer doing it yourself? Keep reading.
Features
- 🖼️ Clipboard-first —
analyze_clipboard,extract_text_from_clipboard,diagnose_error_from_clipboard,describe_ui_from_clipboard,code_from_clipboard. - 📁 File path fallback — same tools available for images already on disk.
- 🆓 Free vision backend — Groq's free tier with Qwen 3.6 27B (27B multimodal, 131K context).
- 🔁 Model is swappable — set
GROQ_VISION_MODELto follow Groq's catalog without touching the code. - 🖥️ Multi-OS — Windows, macOS, Linux (X11 + Wayland).
- 🔒 Security hardened — extension/size/magic-byte validation, auto-delete of clipboard temp files after analysis.
- 🔌 MCP standard — works with Opencode, Claude Code, Cursor, Cline, Continue, or any MCP-capable client.
Requirements
- Python 3.10+
- Groq API key (free, 30 seconds sign-up): https://console.groq.com/keys
- An MCP-capable client (Opencode, Claude Code, Cursor, Cline, Continue, ...)
Python dependencies (installed automatically via pip install -e .)
| Package | Purpose |
|---|---|
mcp>=1.0.0 |
MCP protocol server |
groq>=0.11.0 |
Groq API client (Qwen 3.6 27B vision) |
aiofiles>=23.0.0 |
Async file I/O |
Pillow>=10.0.0 |
Clipboard image extraction (Windows/macOS), PNG encoding |
OS-specific clipboard dependencies
| OS | Command | Why |
|---|---|---|
| Windows | nothing extra | Pillow + pywin32 handle the clipboard natively. |
| macOS | brew install pngpaste (optional fallback) |
Pillow works in most cases; pngpaste as backup. |
| Linux — Wayland | sudo apt install wl-clipboard |
Provides wl-paste. |
| Linux — X11 | sudo apt install xclip |
Or your distro equivalent. |
Quick start
1. Get a free Groq API key
2. Install
git clone https://github.com/Capetlevrai/clipboard-vision-mcp.git
cd clipboard-vision-mcp
python -m venv .venv
# Windows:
.venv\Scripts\activate
# macOS/Linux:
source .venv/bin/activate
pip install -e .
3. Smoke test (no Groq needed)
Copy any screenshot, then:
python examples/smoke_test.py
Expected: OK: clipboard image saved to <path>.
4. Wire to your MCP client
See docs/OPENCODE.md for Opencode (Windows-tested) or docs/CLIENTS.md for Claude Code / Cursor / Cline / Continue.
Opencode (%APPDATA%\opencode\opencode.json on Windows, ~/.config/opencode/opencode.json on Linux/macOS):
{
"mcp": {
"clipboard-vision": {
"type": "local",
"command": [
"C:\\path\\to\\clipboard-vision-mcp\\.venv\\Scripts\\python.exe",
"-m",
"clipboard_vision_mcp"
],
"enabled": true,
"environment": {
"GROQ_API_KEY": "gsk_your_key_here"
}
}
}
}
💡 Use the absolute path to the venv's Python. This guarantees the MCP starts with the right dependencies regardless of shell, cwd, or active venv.
4b. Changing the vision model (optional)
The model id is read once at startup from GROQ_VISION_MODEL, defaulting to qwen/qwen3.6-27b. Add it to the same environment block to pin a different one:
"environment": {
"GROQ_API_KEY": "gsk_your_key_here",
"GROQ_VISION_MODEL": "qwen/qwen3.6-27b"
}
Useful when Groq retires a model — as happened to meta-llama/llama-4-scout-17b-16e-instruct on 2026-06-17. Pick any vision model from https://console.groq.com/docs/models; no code change required. The older VISION_MODEL name still works as a fallback.
5. ⚠️ Opencode keybindings for pasting images (Alt+V)
Two important facts about opencode (these are easy to get wrong):
- Keybinds live in
tui.json(next toopencode.json), NOT inopencode.json.opencode.jsonrejects unknown top-level keys, so adding akeybindsblock there makes opencode refuse to start (ConfigInvalidError). - There is no
input_paste_imageaction. Pasting (text and images) is the singleinput_pasteaction — opencode's TUI reads the image straight from the OS clipboard. It is bound toCtrl+Vby default; to also paste withAlt+V, bindinput_pasteto both.
Create/merge tui.json (e.g. ~/.config/opencode/tui.json on Linux/macOS, C:\Users\<you>\.config\opencode\tui.json on Windows):
{
"$schema": "https://opencode.ai/tui.json",
"keybinds": {
"input_paste": [
{ "key": "ctrl+v", "preventDefault": false },
{ "key": "alt+v", "preventDefault": false }
]
}
}
Restart Opencode after editing. Then copy a screenshot and press Alt+V (or Ctrl+V) in the prompt — the image attaches.
ℹ️ Optional: the
*_from_clipboardtools read the OS clipboard themselves, so you can skip pasting entirely — just copy a screenshot and ask the model to "analyze my clipboard".
6. Does it auto-start after a Windows reboot?
Yes. Opencode re-reads opencode.json at every launch and auto-spawns any MCP server with "type": "local" and "enabled": true. Because the command uses the absolute path to the venv's Python, it doesn't matter which shell or working directory Opencode is launched from.
Reboot → open Opencode → clipboard-vision tools are listed. No manual step.
Usage
You: (copy a screenshot to clipboard, then type)
"Look at what I just copied and tell me what's wrong with this error."
LLM (DeepSeek, GLM, Claude, ...): [calls diagnose_error_from_clipboard]
→ "The error says `ECONNREFUSED 127.0.0.1:5432`. Postgres isn't
running on port 5432. Start it with: ..."
The text-only model never sees pixels — it reads the description returned by Qwen 3.6 27B and reasons over it.
Tool reference
| Tool | Input | Use when |
|---|---|---|
analyze_clipboard |
optional prompt |
Generic description, Q&A on the clipboard image. |
extract_text_from_clipboard |
— | Pure OCR. |
describe_ui_from_clipboard |
— | UI/UX review, component inventory. |
diagnose_error_from_clipboard |
— | Error screenshot → cause + fix. |
code_from_clipboard |
— | Extract code from a screenshot. |
analyze_image |
image_path, optional prompt |
Image already on disk. |
extract_text, describe_ui, diagnose_error, understand_diagram, analyze_chart, code_from_screenshot |
image_path |
Same as above for files. |
Security
This server runs as a local stdio process — it does not open any network port and only talks to the MCP client over stdin/stdout and to the Groq API over HTTPS.
Hardening in place:
- File type allow-list.
analyze_imageand the other file-path tools only accept.png .jpg .jpeg .gif .webp .bmp. This prevents a prompt-injected LLM from asking the server to read arbitrary local files (~/.ssh/id_rsa,.env, ...) and exfiltrate them as base64 to Groq. - Magic-byte check. File content is validated against known image headers before upload.
- Size cap. 20 MB max per image.
- Auto-delete clipboard temp files after each analysis. Screenshots may contain secrets (tokens, chats, credentials) — the server writes them to
$TMPDIR/clipboard_vision_mcp/and unlinks them on completion. - No telemetry. No analytics, no phone-home.
What this project cannot protect you from
- Your API key lives in your MCP client config in plain text. That is how MCP clients work today. Keep that config file non-world-readable and never commit it. If you accidentally expose a key (chat, screenshot, git push), rotate it at https://console.groq.com/keys.
- Groq receives the images you analyze. Check their privacy policy before sending anything sensitive.
- Any MCP tool is executed at the direction of the LLM. If you connect a prompt-injected model to this server and feed it untrusted input, the model can choose what to analyze. The allow-list above reduces blast radius but cannot eliminate it.
Found an issue?
Please open a private security advisory rather than a public issue.
How it works
┌──────────────┐ MCP ┌─────────────────┐ HTTPS ┌─────────────────┐
│ Opencode │ ──────▶ │ clipboard- │ ────────▶ │ Groq API │
│ (DeepSeek) │ │ vision-mcp │ │ Qwen 3.6 27B │
└──────────────┘ └─────────────────┘ └─────────────────┘
│
▼
reads system clipboard
(PIL / wl-paste / xclip)
→ validate → base64 → send → delete
Troubleshooting
- "Clipboard does not contain an image." — Copy an actual image, not a file icon or text. On Linux, verify
wl-paste --type image/pngorxclip -selection clipboard -t image/png -o | file -works outside the MCP. - "GROQ_API_KEY is not set." — Check the
environmentblock in your client config, then fully restart the client. - Tools don't appear in Opencode. — Check Opencode's MCP logs. Run
python -m clipboard_vision_mcpmanually — it should start and wait silently on stdin. - "Refusing to read '
' — only image files are allowed." — You (or the LLM) passed a non-image path. This is the security guard doing its job. model_not_found/model has been decommissioned. — Groq retired the configured vision model (this is what killedmeta-llama/llama-4-scout-17b-16e-instructon 2026-06-17). SetGROQ_VISION_MODELto a current id from https://console.groq.com/docs/models and restart the client.
Credits
- Forked from itcomgroup/vision-mcp-server — original Groq + Llama-4 Scout MCP integration.
- Vision model: Qwen 3.6 27B served by Groq (replaces Llama-4 Scout 17B, deprecated 2026-06-17).
License
MIT — see LICENSE.
Установить Clipboard Vision в Claude Desktop, Claude Code, Cursor
unyly install clipboard-vision-mcpСтавит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.
Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh
Или настроить вручную
Выполни в терминале:
claude mcp add clipboard-vision-mcp -- uvx --from git+https://github.com/Capetlevrai/clipboard-vision-mcp clipboard-vision-mcpПошаговые гайды: как установить Clipboard Vision
FAQ
Clipboard Vision MCP бесплатный?
Да, Clipboard Vision MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Clipboard Vision?
Нет, Clipboard Vision работает без API-ключей и переменных окружения.
Clipboard Vision — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Clipboard Vision в Claude Desktop, Claude Code или Cursor?
Открой Clipboard Vision на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
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