Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
MCP server for Google Gemini AI - text, image, video, research, and more
Pick the AI app you use, then copy the settings.
Passed 3/3 checks · Runs on your computer · ✓ Commands checked Nov 13, 2026
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
One time only; it works for every server that needs Python (uv)
SettingsDeveloperEdit Config
{
"mcpServers": {
"gemini": {
"command": "uvx",
"args": [
"mcp-gemini-crunchtools"
]
}
}
}Use MCP Gemini and tell me what you can do for me, then show me one thing✓ If Claude says it is using MCP Gemini or shows a MCP Gemini tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect MCP Gemini yet
MCP Gemini runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect MCP Gemini
B · Others in Design, images & audio that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
Works with Claude Code, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --scope user gemini -- uvx mcp-gemini-crunchtoolsYou should see MCP Gemini listed as connected
Use MCP Gemini and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using MCP Gemini or shows a MCP Gemini tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Use MCP Gemini and tell me what you can do for me, then show me one thing✓ If Cursor says it is using MCP Gemini or shows a MCP Gemini tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
Install Python (uv) on your computer first (one time)
One time only; it works for every server that needs Python (uv)
Use MCP Gemini and tell me what you can do for me, then show me one thing✓ If VS Code says it is using MCP Gemini or shows a MCP Gemini tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.
JSON settings are under “For developers” below
Claude Code
claude mcp add --scope user gemini -- uvx mcp-gemini-crunchtoolsClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"gemini": {
"command": "uvx",
"args": [
"mcp-gemini-crunchtools"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"gemini": {
"command": "uvx",
"args": [
"mcp-gemini-crunchtools"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"gemini": {
"type": "stdio",
"command": "uvx",
"args": [
"mcp-gemini-crunchtools"
]
}
}
}These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
Runs on your computer; the tool list appears in your AI app after you install it.
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 13, 2026
The registry name was verified with the GitHub account crunchtools, which owns the repo
Code last changed yesterday
Uses AGPL-3.0
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
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No reviews yet
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 3 of 3 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed yesterday, and the latest version (0.3.0) reached the registry 9 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.
In the same category: Figma Context MCP, AutoClip, Next AI Draw.io
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Clip long videos into short clips with covers and captions. Local CLI and MCP.
draw.io diagrams your AI agent draws on a live browser canvas that you can also edit by hand
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.
A secure MCP (Model Context Protocol) server for Google Gemini AI - text, image, video, research, and more.
This MCP server is designed to be:
SecretStr to prevent accidental loggingquay.io/crunchtools/mcp-gemini built on Hummingbird Python base image| Component | Name |
|---|---|
| GitHub repo | crunchtools/mcp-gemini |
| Container | quay.io/crunchtools/mcp-gemini |
| Python package (PyPI) | mcp-gemini-crunchtools |
| CLI command | mcp-gemini-crunchtools |
| Module import | mcp_gemini_crunchtools |
The container image is built on the Hummingbird Python base image from Project Hummingbird, which provides:
This means your MCP server runs in a hardened environment with fewer vulnerabilities than typical Python container images.
gemini_query - Query Gemini with optional Google Search groundinggemini_brainstorm - Generate creative ideas on a topicgemini_analyze_code - Analyze code for security, performance, bugsgemini_analyze_text - Analyze text for sentiment, tone, contentgemini_summarize - Summarize content in various formatsgemini_generate_image - Generate images from text prompts (native Gemini)gemini_generate_image_with_input - Edit/modify existing imagesgemini_image_prompt - Craft effective image generation promptsgemini_imagen_generate - Generate images using Google Imagen 4 modelsgemini_start_image_edit - Start a multi-turn image editing sessiongemini_continue_image_edit - Continue editing in an active sessiongemini_end_image_edit - End an image editing sessiongemini_list_image_sessions - List all active editing sessionsgemini_analyze_image - Analyze and describe local image filesgemini_search - Web search using Gemini with Google Search groundinggemini_analyze_document - Analyze PDFs, DOCX, TXT, etc.gemini_summarize_pdf - Summarize PDF documentsgemini_extract_tables - Extract tables from documentsgemini_analyze_url - Analyze one or more URLsgemini_compare_urls - Compare two URLsgemini_extract_from_url - Extract specific data from a URLgemini_generate_video - Generate videos using Veogemini_check_video - Check video generation statusgemini_youtube - Analyze YouTube videosgemini_youtube_summary - Summarize YouTube videosgemini_speak - Convert text to speechgemini_dialogue - Generate multi-voice dialogue audiogemini_list_voices - List available voicesgemini_deep_research - Perform multi-step web researchgemini_check_research - Check research operation statusgemini_research_followup - Ask follow-up questionsgemini_create_cache - Create content cache for repeated queriesgemini_query_cache - Query cached contentgemini_list_caches - List all active cachesgemini_delete_cache - Delete a cachegemini_structured - Get structured JSON outputgemini_extract - Extract structured data from textgemini_count_tokens - Count tokens in contentgemini_run_code - Execute Python code via GeminiTotal: 39 tools
uvx mcp-gemini-crunchtools
pip install mcp-gemini-crunchtools
# Create a shared output directory (required before first run)
mkdir -p ~/.local/share/mcp-uploads-downloads
podman run -v ~/.local/share/mcp-uploads-downloads:/output:z \ -e GEMINI_API_KEY=your_key \ -e GEMINI_OUTPUT_DIR=/output \ quay.io/crunchtools/mcp-gemini
SELinux note: Use
:z(lowercase, shared) instead of:Z(uppercase, private).
MCP servers run as long-lived stdio processes. With
:Z, files copied into the
directory after container start won't have the container's private MCS label and
will be invisible inside the container. The
:zflag sets a shared
container_file_tcontext that all containers and the host can read/write.
Tip: Use the same shared directory (
~/.local/share/mcp-uploads-downloads/)
across multiple MCP container servers (e.g., mcp-gemini and mcp-wordpress) so
generated images are immediately available for WordPress upload without copying.
AI... (e.g., AIzaSy...)claude mcp add mcp-gemini-crunchtools \
--env GEMINI_API_KEY=your_api_key_here \ -- uvx mcp-gemini-crunchtools
Or for the container version:
# Create a shared output directory (required before first run)
mkdir -p ~/.local/share/mcp-uploads-downloads
claude mcp add mcp-gemini-crunchtools \ --env GEMINI_API_KEY=your_api_key_here \ --env GEMINI_OUTPUT_DIR=/output \ -- podman run -i --rm \ -v ~/.local/share/mcp-uploads-downloads:/output:z \ -e GEMINI_API_KEY \ -e GEMINI_OUTPUT_DIR=/output \ quay.io/crunchtools/mcp-gemini
For generated images, audio, and videos when running without a container:
claude mcp add mcp-gemini-crunchtools \
--env GEMINI_API_KEY=your_api_key_here \ --env GEMINI_OUTPUT_DIR=$HOME/.local/share/mcp-uploads-downloads \ -- uvx mcp-gemini-crunchtools
User: What are the latest developments in quantum computing?
Assistant: [calls gemini_query with use_google_search=true]
User: Generate a photorealistic image of a sunset over mountains
Assistant: [calls gemini_generate_image with prompt and style]
User: Analyze this research paper at /path/to/paper.pdf
Assistant: [calls gemini_analyze_document with file_path]
User: Summarize this YouTube video: https://youtube.com/watch?v=...
Assistant: [calls gemini_youtube_summary with url]
User: Research the environmental impact of electric vehicles
Assistant: [calls gemini_deep_research then gemini_check_research]
User: Analyze this Python code for security issues
Assistant: [calls gemini_analyze_code with focus="security"]
This server was designed with security as a primary concern. See SECURITY.md for:
git clone https://github.com/crunchtools/mcp-gemini.git
cd mcp-gemini uv sync
uv run pytest
uv run ruff check src tests
uv run mypy src
podman build -t mcp-gemini .
AGPL-3.0-or-later
Contributions welcome! Please read SECURITY.md before submitting security-related changes.