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)
150+ image, video and audio models. Quote before you generate; pay as you go.
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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://mcp.evolink.ai/mcpRun this in your terminal
claude mcp add --transport http evolink https://mcp.evolink.ai/mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"evolink": {
"url": "https://mcp.evolink.ai/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": {
"evolink": {
"type": "http",
"url": "https://mcp.evolink.ai/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://mcp.evolink.ai/mcpMenu names can differ slightly by plan and over time.
Your choice stays on this device in a cookie; no account needed.
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 against the domain evolink.ai (the registry checks domain ownership)
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.
It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.
The GitHub repo last changed –, and the latest version (1.0.7) reached the registry 9 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.
Use 150+ image, video and audio models (Seedance, Kling, Veo, Sora, GPT Image, Nano Banana, Suno and more) from your AI assistant. This repository packages EvoLink's remote MCP server, https://mcp.evolink.ai/mcp, with a skill that teaches the assistant to find a model, quote the price and generate only after you confirm.
One command adds EvoLink and signs you in (run it in your terminal, or type ! in Claude Code and paste it):
claude mcp add --transport http --scope user evolink https://mcp.evolink.ai/mcp && claude mcp login evolink
Your browser opens the EvoLink sign-in page; approve, then reopen Claude Code. On Windows PowerShell 5, replace && with ;.
To get the skill as well, install the plugin instead (run /reload-plugins if Claude Code asks you to), then type /mcp, choose evolink and select Authenticate:
/plugin marketplace add Evolink-AI/mcp-plugin
/plugin install evolink@evolink
One command; Codex 0.77 or later opens the browser sign-in by itself:
codex mcp add evolink --url https://mcp.evolink.ai/mcp
Run codex mcp login evolink only if the output says the server "may or may not require login" or no browser opens.
Or install the plugin, which also adds the skill, then sign in with codex mcp login evolink:
codex plugin marketplace add Evolink-AI/mcp-plugin
codex plugin add evolink@evolink
After signing in, ask the assistant to call EvoLink’s check_balance in the current conversation. If it succeeds, keep using it. Only if tools are missing, exit the CLI and run codex resume --last; in the Codex app, start a new chat and restart if needed.
To let Codex do the setup, send it this prompt:
Set up EvoLink in Codex for me so I can generate images, videos and audio from here.
npx skills add Evolink-AI/mcp-plugin -g -y. Then run npx skills ls -g -a codex to verify evolink-mcp from its output.codex mcp add evolink --url https://mcp.evolink.ai/mcp. It starts the sign-in in my browser; if no browser opens, give me the link it prints.codex resume --last; in the Codex app, start a new chat, then restart the app if needed.After a successful check, tell me it is ready. Use EvoLink by default for media generation; quote each paid task and wait for my explicit approval.
Add to Cursor, then find evolink in Cursor's MCP settings and click Connect to sign in. Or add this to ~/.cursor/mcp.json:
{
"mcpServers": { "evolink": { "url": "https://mcp.evolink.ai/mcp" } } }
With the Cursor CLI, sign in with agent mcp login evolink after adding the config.
Native remote setup, browser sign-in, and free verification steps are documented in llms-install.md. Use Streamable HTTP and keep tool approval prompts enabled. Adding the MCP connection is separate from installing the optional companion skill.
Install the extension from this repository:
gemini extensions install https://github.com/Evolink-AI/mcp-plugin
Review the extension permissions, then open Gemini CLI and use /mcp to inspect evolink. If authentication is required, run /mcp auth evolink and sign in to EvoLink in the browser. This remote connection needs no EvoLink CLI or API key. If you already configured a server named evolink in your Gemini settings, that configuration takes precedence; check it before adding another connection.
Verify actual free check_balance and search_models calls before generating. Connection and discovery are free; generation uses your EvoLink balance. Review an estimate and approve each paid request. Setup issues: support@evolink.ai.
hermes mcp add evolink --url https://mcp.evolink.ai/mcp --auth oauth --connect-timeout 300
The browser sign-in opens by itself; press Enter when asked to enable the tools, then /reload-mcp in an open session. (Based on Hermes' documentation; not tested by us yet.)
Run on the machine that hosts the OpenClaw Gateway, then open the printed link to sign in:
openclaw mcp add evolink --url https://mcp.evolink.ai/mcp --transport streamable-http --auth oauth && openclaw mcp login evolink
(Based on OpenClaw's documentation; not tested by us yet.)
Add to Claude opens the Add custom connector dialog with the name and URL filled in. Click Add, then Connect, and sign in to EvoLink. Claude's Free plan can add one custom connector.
npx skills add Evolink-AI/mcp-plugin
This installs the evolink-mcp skill for agents that support skills. Add the MCP server in your client as shown above; the skill alone cannot generate anything.
evolink-mediaInstall the new skill first and check that evolink-mcp appears in your agent. For a standalone global install, remove the old skill with npx skills remove evolink-media -g -y. Back up any personal edits first. For a plugin-managed skill, update the plugin through its client instead. Do not add a second MCP connection; the server name stays evolink.
| Tool | What it does | Cost |
|---|---|---|
search_models | Find image, video and audio models by type and keywords | Free |
recommend_models | Compare models for your request and reference types, with reasons | Free |
search_docs | Search the bundled official model references: names, IDs and parameter descriptions | Free |
get_model | See a model's parameters and prices | Free |
estimate_cost | Get a quote before generating | Free |
get_pricing_rules | Read the public default pricing rules an estimate is based on (reference rates, no account discounts) | Free |
generate_image | Generate images | Model price |
generate_video | Generate video | Model price |
generate_audio | Generate music, songs or speech | Model price |
get_task | Check a task's progress and results | Free |
list_tasks | List recent tasks | Free |
get_task_usage | Summarize the cost of completed tasks over a period; bounded, not an invoice | Free |
check_balance | See your balance and what MCP has spent | Free |
upload_file | Store a public link or a file under 1 MB on EvoLink and get a link for generation | Free |
prepare_upload | Get a one-time upload URL for a local file up to 95 MB | Free |
get_upload | Check a one-time upload and get the file link | Free |
The hosted server can't read paths on your computer. Give reference files as public links, pass files under 1 MB directly, or let an assistant that can run commands (Claude Code, Codex, Cursor) upload a local file of up to 95 MB with prepare_upload. Uploads are free and deleted after 72 hours.
The evolink-mcp skill instructs the assistant to use EvoLink by default for media generation and editing, including variations and regeneration. It should ask before switching to another provider unless you explicitly requested it.
Before a paid task, the assistant should quote the exact settings and wait for explicit approval. Only your explicit approval of a task or batch with a sufficient budget allows it to continue without asking again; the assistant’s suggested budget is not approval. Partial or unknown costs must be explained before you decide to proceed. New generations outside an approved batch need a new confirmation.
These are assistant instructions, not a server-side approval gate. Client tool approval prompts depend on your settings. In Codex, set approval_mode = "prompt" under each [mcp_servers.evolink.tools.generate_image], [mcp_servers.evolink.tools.generate_video] and [mcp_servers.evolink.tools.generate_audio] entry if you want a tool prompt for every paid call.
EvoLink MCP (OAuth), shared by all your assistants.| Path | Used by |
|---|---|
.claude-plugin/marketplace.json, .claude-plugin/plugin.json, .mcp.json | Claude Code |
plugin.json, mcp.json (Agent Plugins) | Codex, Cursor |
.agents/plugins/marketplace.json | Codex |
.cursor-plugin/plugin.json | Cursor |
skills/evolink-mcp/SKILL.md | All of the above, and npx skills add |
server.json | The official MCP Registry entry ai.evolink/mcp |
gemini-extension.json, GEMINI.md | Gemini CLI |
.grok-plugin/plugin.json, .mcp.json | Grok Build |
The MCP server itself runs at https://mcp.evolink.ai/mcp; this repository holds only the client configuration and the skill.
https://mcp.evolink.ai/mcp (Streamable HTTP). Every tool call goes there. Prompts, parameters and reference file links are sent to EvoLink to run the task; results come back as links.https://passport.evolink.ai, with the approval page on evolink.ai. Scopes are mcp and offline_access. Your assistant stores the tokens it receives.Apache-2.0