Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Description from the maker (original English)
AI image, video and 3D tools, assets, products and Shopify for Sirv AI Studio.
These three are never merged into one score: opinions, measurements and popularity are different things.
We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.
Pick the AI app you use, then copy the settings.
SIRV_AI_API_KEYValues marked secret are keys to your account. Never share them or paste them into a chat.
You need
Which app do you use?
Pick your app above. We remember it, so next time the button says “Install in …”.
Works in Claude on the web, desktop and mobile:
https://mcp.sirv.studioOpen Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"sirv-ai": {
"command": "npx",
"args": [
"-y",
"sirv-ai-mcp-server"
],
"env": {
"SIRV_AI_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add --transport http sirv-ai https://mcp.sirv.studioclaude mcp add sirv-ai --env SIRV_AI_API_KEY=your-value -- npx -y sirv-ai-mcp-serverFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"sirv-ai": {
"url": "https://mcp.sirv.studio"
}
}
}Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"sirv-ai": {
"command": "npx",
"args": [
"-y",
"sirv-ai-mcp-server"
],
"env": {
"SIRV_AI_API_KEY": "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.
Paste into .vscode/mcp.json in your project
{
"servers": {
"sirv-ai": {
"type": "http",
"url": "https://mcp.sirv.studio"
}
}
}Paste into .vscode/mcp.json in your project
{
"servers": {
"sirv-ai": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"sirv-ai-mcp-server"
],
"env": {
"SIRV_AI_API_KEY": "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.
ChatGPT connects only to servers on the internet:
https://mcp.sirv.studioMenu names can differ slightly by plan and over time.
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These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
The server asks you to sign in before it lists its tools.
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 7, 2026
The registry name was verified with the GitHub account sirv, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Responded in 660 ms (HTTP 401)
Declares OAuth sign-in, so your AI app can take you to log in
Not checked yet; we read the tool list when we check the endpoint
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.
You need to fill in: SIRV_AI_API_KEY
Either way works: install it on your computer or connect to the cloud version.
The GitHub repo last changed –, and the latest version (1.1.1) reached the registry 3 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
Servers in the same category from other makers, sorted by stars.
Reading a card:★ 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.
Let any LLM watch a video locally — and search everything it has ever watched.
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.
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.
MCP (Model Context Protocol) server for Sirv AI Studio - AI-powered image and video processing.
This MCP server exposes 54 tools across AI processing, asset management, product management, Shopify integration, Supplier Portal operations and Sirv CDN file management:
These tools work on the workspace's connected Sirv account, rather than the Studio asset library:
All DAM, product, Shopify, Supplier Portal and Sirv CDN tools accept an optional orgId parameter to scope requests to a specific organization. If omitted, the user's default organization is used. The server sends orgId as the X-Org-Id header, which the API validates against the user's org membership.
Every Studio plan includes API and MCP access; an admin can turn it off for a workspace. Preview-readable tools such as list, get, search, metadata-read, usage, organization, and workflow-read calls then execute without another tool-specific check. Mutation tools, direct AI tools that spend credits, batch operations, visual similarity, Shopify delivery/sync, and Supplier Portal Pro tools call Studio's /api/mcp/authorize-tool endpoint before execution and fail closed when the workspace lacks the matching entitlement.
assetId) - Remove the background, upscale if small, and write alt text for one library imagefolderId) - Find the images in a folder that have no alt text and write it, after the user confirms the costUse the hosted server at https://mcp.sirv.studio, or run the npm package:
npx -y sirv-ai-mcp-server
Use version 1.0.5 or later. Earlier versions are the legacy server from before the www.sirv.studio cutover on 2026-10-30.
To build from source:
bun install
bun run build node dist/index.js
# Optional: Sirv AI Studio URL (default: https://www.sirv.studio)
SIRV_AI_BASE_URL="https://www.sirv.studio"
SIRV_AI_API_KEY="your-api-key"
MCP_TRANSPORT="stdio"
MCP_HTTP_PORT=3001 MCP_HTTP_HOST=0.0.0.0 MCP_BASE_URL="https://your-mcp-server.com"
MCP_SSL_KEY_PATH="/path/to/key.pem" MCP_SSL_CERT_PATH="/path/to/cert.pem"
MCP_ENABLE_IP_ALLOWLIST="true" MCP_ALLOWED_IPS="1.2.3.4,5.6.7.8/24"
MCP_CORS_ORIGINS="https://claude.ai,https://your-app.com"
Used for local integrations with Claude Desktop and Claude Code.
bun run start
bun run dev
Used for remote/hosted deployments accessible via HTTPS.
bun run start:http
bun run dev:http
When running in HTTP mode, the server exposes:
/ - MCP protocol endpoint (/mcp is also accepted for compatibility)/health - Health check endpoint/.well-known/oauth-authorization-server - OAuth 2.0 metadata/.well-known/oauth-protected-resource - Protected resource metadataHTTP requests accept uncompressed JSON up to 1 MiB. Tool arguments are limited to 10,000 array elements and object members in total, including nested values. Split larger requests into smaller calls. File uploads use URLs rather than inline bytes.
Each signed-in caller can send 100 requests a minute. One IP address can send 30 invalid API keys a minute. Expired OAuth tokens do not count toward that limit.
The server implements OAuth 2.0 with PKCE for secure authentication:
~/.sirv-ai/tokens.jsonAll tools include proper MCP safety annotations:
readOnlyHint - Indicates if the tool only reads datadestructiveHint - Indicates if the tool can delete or overwrite dataidempotentHint - Indicates if repeated calls produce the same resultopenWorldHint - Indicates if the tool accesses external servicesWhen running in HTTP mode, CORS is configured for browser-based authentication:
https://claude.ai, https://console.anthropic.comMCP_CORS_ORIGINS environment variableOptional IP-based access control:
MCP_ENABLE_IP_ALLOWLIST=trueMCP_ALLOWED_IPSFor production deployments:
MCP_SSL_KEY_PATH and MCP_SSL_CERT_PATHAdd to your Claude Desktop configuration (claude_desktop_config.json):
{
"mcpServers": { "sirv-ai": { "command": "npx", "args": ["-y", "sirv-ai-mcp-server"], "env": { "SIRV_AI_BASE_URL": "https://www.sirv.studio" } } } }
Add to your Claude Code MCP settings:
{
"mcpServers": { "sirv-ai": { "command": "npx", "args": ["-y", "sirv-ai-mcp-server"], "env": { "SIRV_AI_BASE_URL": "https://www.sirv.studio" } } } }
For the hosted server, use https://mcp.sirv.studio as the MCP connector URL. Connectors added with https://mcp-dev.sirv.studio keep working. Studio handles sign-in and consent at https://www.sirv.studio. Every Studio plan can connect. When a workspace runs out of credits, tools answer with a link to Studio's Buy credits page. This connection path is separate from ChatGPT Actions, which use the OpenAPI specification.
Use the callback URL supplied by your ChatGPT connector. Studio accepts https://chatgpt.com/connector/oauth/ with one ID segment containing letters, digits, underscores or hyphens, as well as the older https://chatgpt.com/connector_platform_oauth_redirect callback. The URL must also match the client's registered redirect URI. OAuth still requires PKCE S256. See the MCP developer docs.
In the current source, ten image-result tools attach an interactive image widget. Account, asset, product, batch, workflow, video and 3D tools return their tool results without that widget. For multi-image generation, the widget previews the first result rather than a gallery.
The widget uses the MCP Apps resource ui://widget/sirv-studio-v3.html with MIME type text/html;profile=mcp-app. This describes the server implementation, not a claim that the app is listed in the ChatGPT directory.
For hosting the MCP server remotely (accessible via claude.ai):
Keep the two origins distinct:
SIRV_AI_BASE_URL is the Studio app that serves OAuth and API requests.MCP_BASE_URL is the public origin clients use to reach the MCP server. It supplies the advertised OAuth resource and widget domain.The Docker Compose configuration defaults to https://www.sirv.studio and https://mcp.sirv.studio, respectively. Set both explicitly for another deployment.
Check discovery before connecting a client:
curl --fail https://mcp.sirv.studio/.well-known/oauth-protected-resource
curl --fail https://mcp.sirv.studio/.well-known/oauth-authorization-server
For these defaults, resource should be https://mcp.sirv.studio, and issuer and the sole authorization_servers entry should be https://www.sirv.studio. The authorization, token and registration endpoints should use the Studio origin.
# Using SSL certificates directly
MCP_TRANSPO
Only the beginning is shown; read the rest in the repo