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)
MCP server for Pixapi: check live credit pricing and balance, then generate images and video.
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.
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Works in Claude on the web, desktop and mobile:
https://api.pixapi.ai/mcpOpen Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"pixapi": {
"command": "npx",
"args": [
"-y",
"pixapi-mcp"
]
}
}
}Run this in your terminal
claude mcp add --transport http pixapi https://api.pixapi.ai/mcpclaude mcp add pixapi -- npx -y pixapi-mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"pixapi": {
"url": "https://api.pixapi.ai/mcp"
}
}
}Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"pixapi": {
"command": "npx",
"args": [
"-y",
"pixapi-mcp"
]
}
}
}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": {
"pixapi": {
"type": "http",
"url": "https://api.pixapi.ai/mcp"
}
}
}Paste into .vscode/mcp.json in your project
{
"servers": {
"pixapi": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"pixapi-mcp"
]
}
}
}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://api.pixapi.ai/mcpMenu 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.
We have not read this server’s tool list yet; we check endpoints in rotation.
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
The registry name was verified with the GitHub account Pixapi-AI, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
Not checked yet; we check endpoints in rotation
Not checked yet; we check endpoints in rotation
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 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.
The registry does not list a required key, though some servers ask you to sign in on first use.
Either way works: install it on your computer or connect to the cloud version.
The GitHub repo last changed –, and the latest version (0.1.4) reached the registry 2 months 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.
Use Pixapi image and video generation tools from MCP clients.
https://api.pixapi.ai/mcpConfigure your project automatically (Node.js 22+):
npx -y pixapi-mcp init --client codex
Replace codex with your client, or use --client all for all five:
| Client | --client | Configuration file |
|---|---|---|
| Claude Code | claude-code | .mcp.json |
| Cursor | cursor | .cursor/mcp.json |
| Codex | codex | .codex/config.toml |
| VS Code / GitHub Copilot | vscode | .vscode/mcp.json |
| Gemini CLI | gemini-cli | .gemini/settings.json |
Without --client, the default is Claude Code and Cursor (--client both). Use --project /path/to/project to configure another project.
Reload your MCP client and connect to pixapi. Complete its browser sign-in and authorization prompt the first time. The client saves the OAuth session and refreshes it automatically; no API key or credential editing is required. The client may ask you to sign in again if authorization is revoked or expires. Each client manages its own native OAuth session.
init configures a direct remote HTTP connection by default. If your client has an Add MCP Server interface, you can also enter the endpoint URL there without installing this npm package or Node.js.
Codex requires a trusted project. In VS Code, use MCP: List Servers to start pixapi; in Gemini CLI, use /mcp to inspect it. Complete any client trust or sign-in prompt. init does not change client security policies.
Claude Code:
{"mcpServers":{"pixapi":{"type":"http","url":"https://api.pixapi.ai/mcp"}}}
Cursor uses the same mcpServers entry with url and no type field. VS Code uses servers with type: "http" and url. Gemini CLI uses mcpServers with httpUrl.
Codex:
[mcp_servers.pixapi]
url = "https://api.pixapi.ai/mcp"
Running init updates the pixapi entry and preserves other servers and settings. VS Code JSONC comments are preserved. Codex TOML settings are preserved, but comments and formatting are not. All selected configurations are parsed before writing; a filesystem failure during writes can still leave some files updated. Correct the local issue and rerun init.
For clients that need stdio, configure the bridge explicitly:
npx -y pixapi-mcp init --client cursor --transport stdio
The generated entry runs npx -y pixapi-mcp proxy without credentials. Registry installations of the npm package also start the bridge directly: no separate init command or environment variable is required.
The bridge completes the local MCP handshake immediately. On the first tool request it opens browser authorization, then forwards tools to Pixapi. Subsequent connections reuse the saved session and refresh tokens automatically. For clients with a short tool-discovery timeout, sign in once beforehand:
npx -y pixapi-mcp login
If a client times out during the initial browser sign-in, complete sign-in and reconnect the client. No authorization URL, code, or token is printed to MCP stdout or error output.
OAuth sessions are stored per endpoint in ~/.pixapi/oauth- .json. On macOS and Linux, the directory uses mode 0700 and files use 0600. Writes are atomic; concurrent bridge processes share an authorization lock. PKCE verifiers and callback state are kept only in memory. The callback binds to loopback on the same host as the bridge. For a headless or remote host, prefer the client's native remote OAuth connection.
Existing API key configurations remain compatible. For an explicit API key installation, set PIXAPI_API_KEY when running init; it configures stdio and saves the key privately in ~/.pixapi/mcp-credentials.json. An explicit --transport remote always selects native OAuth, even if that variable is set. The proxy also accepts PIXAPI_API_KEY directly for unattended deployments.
The proxy gives an explicit environment key priority, then a saved OAuth session, then a legacy key file. To migrate an existing bridge to OAuth, run pixapi-mcp login and remove any PIXAPI_API_KEY override from its environment. Keys and tokens never appear in generated project configurations.
This package forwards the live tool list from the remote Pixapi MCP endpoint. After you connect, call tools/list or pixapi_get_pricing_and_balance for the current catalog.
pixapi_get_pricing_and_balanceReturns your current balance and live image/video model pricing. Each catalog row includes a type:
text_to_image, image_to_imagetext_to_video, image_to_videoRows marked mcp_generate_supported=true can be called through the matching generate tool.
pixapi_generate_imageStarts an asynchronous image task and returns a task_id. Use type=text_to_image for a prompt-only request, or type=image_to_image with the image field. The tool accepts the image models in the live catalog, including Gemini, GPT Image, Flux, Seedream, Qwen, and Wan.
This call consumes account credits. It is not idempotent: repeating the same call creates another task and may charge the account again.
pixapi_generate_videoStarts an asynchronous video task and returns a task_id. Use type=text_to_video for a prompt-only request, or type=image_to_video with the image field. Pass seconds and resolution as required by the selected model.
This call consumes account credits and is not idempotent.
pixapi_get_taskRetrieves an image or video task owned by the authenticated account. Poll this tool with the returned task_id until the status is completed or failed. A completed task includes media URLs.
Recommended agent flow:
pixapi_get_pricing_and_balance.mcp_generate_supported=true and check the balance.pixapi_generate_image or pixapi_generate_video once and retain its task_id.pixapi_get_task every few seconds.pixapi-mcp init [--client <name|all|both>] [--project <path>] [--transport <remote|stdio>]
pixapi-mcp login pixapi-mcp proxy pixapi-mcp --help
With no arguments, the package starts the stdio proxy.
pixapi server, and complete project trust and browser sign-in. For stdio, ensure Node.js 22+ and npx are available on the host running the bridge.pixapi-mcp login for the bridge and complete browser authorization.~/.pixapi/.For service documentation, visit Pixapi docs.
This server is published to the official MCP Registry as io.github.Pixapi-AI/pixapi-mcp, with both connection methods declared in server.json: the remote endpoint and the npm package. Both support OAuth without a required API key starting with version 0.1.4.
curl "https://registry.modelcontextprotocol.io/v0.1/servers?search=io.github.Pixapi-AI/pixapi-mcp"
Set matching versions in package.json, package-lock.json, and server.json before pushing the corresponding v* tag. The release workflow installs locked dependencies, runs checks, and validates the Registry manifest before publishing. Manual runs must also select that release tag. A rerun compares existing npm package integrity and Registry metadata and only publishes missing steps; conflicting contents require a new version. Registry authentication uses GitHub OIDC, without a stored Registry token.