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 ElevenLabs Conversational AI (not TwelveLabs video) — agents, KB, voices
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.
ELEVENLABS_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 …”.
Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"twelvelabs": {
"command": "npx",
"args": [
"-y",
"twelvelabs-mcp-server"
],
"env": {
"ELEVENLABS_API_KEY": "your-value"
}
}
}
}Run this in your terminal
claude mcp add twelvelabs --env ELEVENLABS_API_KEY=your-value -- npx -y twelvelabs-mcp-serverFill in the empty values before running it.
Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"twelvelabs": {
"command": "npx",
"args": [
"-y",
"twelvelabs-mcp-server"
],
"env": {
"ELEVENLABS_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": {
"twelvelabs": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"twelvelabs-mcp-server"
],
"env": {
"ELEVENLABS_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.
This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.
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.
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 7, 2026
The registry name was verified with the GitHub account micro-JAY, which owns the repo
We have not read this repo from GitHub yet
We have not read this repo from GitHub yet
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
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.
You need to fill in: ELEVENLABS_API_KEY
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 –, and the latest version (1.0.1) reached the registry 7 months ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.
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.
This project is not affiliated with TwelveLabs (the video understanding platform). It is an MCP server for the [ElevenLabs](https://elevenlabs.io) Conversational AI API — voice agents, knowledge bases, conversations, and TTS. The name "TwelveLabs" is the project codename only.
An enhanced MCP (Model Context Protocol) server that gives any compatible MCP client direct access to the ElevenLabs Conversational AI API -- including capabilities the official ElevenLabs MCP connector doesn't expose.
ELEVENLABS_API_KEY=your-key npx twelvelabs-mcp-server
git clone https://github.com/micro-JAY/twelvelabs-mcp-server.git
cd twelvelabs-mcp-server npm install --include=dev npm run build
Add an equivalent server entry to your MCP client's configuration. The config file location and surrounding syntax vary by client; this is the standard stdio server definition:
{
"mcpServers": { "twelvelabs": { "command": "node", "args": ["/path/to/twelvelabs-mcp-server/dist/index.js"], "env": { "ELEVENLABS_API_KEY": "your-api-key-here" } } } }
Restart or reconnect your MCP client. You should see twelvelabs in its available tools list.
Ask your MCP-enabled assistant to use the tools, for example:
"List my agents"
"Get the full config for agent_1001kjbh14xce5kbreh55ydf4rae"
"Show me the last 10 conversations for that agent"
"Get the transcript and analysis for conversation_xyz"
This server works with MCP clients that support the stdio transport and let you configure environment variables for a local server process. Clients that only support remote HTTP MCP servers need a compatible stdio bridge or proxy.
| Tool | What it does |
|---|---|
twelvelabs_list_agents | List all agents in your account |
twelvelabs_get_agent | Full config: LLM model, voice, KB docs, webhook, prompt preview |
twelvelabs_get_agent_prompt | Full untruncated system prompt text |
twelvelabs_update_agent_prompt | Replace system prompt and/or first message |
twelvelabs_update_agent_settings | Change temperature, voice, TTS settings, language |
twelvelabs_update_agent_conversation_capabilities | Enable chat file uploads and set the maximum-duration message |
twelvelabs_list_agent_conversations | Recent conversations for one agent |
twelvelabs_get_agent_webhook | Current webhook URL |
twelvelabs_set_agent_webhook | Set or remove webhook URL |
| Tool | What it does |
|---|---|
twelvelabs_list_kb_docs | All KB docs with size and creation date |
twelvelabs_get_kb_doc | Full extracted text content of a doc |
twelvelabs_add_kb_text | Add a plain text document |
twelvelabs_add_kb_url | Add a web page by URL |
twelvelabs_delete_kb_doc | Permanently delete a doc |
| Tool | What it does |
|---|---|
twelvelabs_list_conversations | Filter history by agent, time, success, duration, rating, status, and tags |
twelvelabs_get_conversation | Full transcript, audio/tag metadata, data collection, and evaluation results |
twelvelabs_rerun_conversation_analysis | Reanalyse a completed conversation using current agent settings |
twelvelabs_rerun_conversation_evaluation | Rerun a single evaluation criterion for a completed conversation |
twelvelabs_list_conversation_tags | List workspace conversation tags |
twelvelabs_create_conversation_tag | Create a workspace conversation tag |
twelvelabs_update_conversation_tag | Rename a tag or change its description |
twelvelabs_assign_conversation_tags | Apply one or more tags to a conversation |
twelvelabs_remove_conversation_tag | Remove a tag from a conversation |
twelvelabs_delete_conversation_tag | Permanently delete a workspace conversation tag |
| Tool | What it does |
|---|---|
twelvelabs_list_voices | Browse available voices with IDs and labels |
npm run dev # watch mode with tsx -- auto-reloads on file changes
npm run build # compile to dist/
git checkout -b feat/my-feature)git commit -m 'feat: add my feature')git push origin feat/my-feature)MIT -- see LICENSE for details.
All tools share a single Axios client instance (src/client.ts) initialised from ELEVENLABS_API_KEY at startup. Tool implementations live in src/tools/ -- one file per domain -- and are registered onto the McpServer in src/index.ts. The server communicates over stdio transport (stdin/stdout), which is why all debug logging uses console.error (stderr), not console.log.