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)
Generate speech, voices, and transcripts through the ElevenLabs API.
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Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json
{
"mcpServers": {
"voicegen-port": {
"command": "npx",
"args": [
"-y",
"@reneturcios/voicegen-port",
"mcp"
]
}
}
}Run this in your terminal
claude mcp add voicegen-port -- npx -y @reneturcios/voicegen-port mcpPaste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json
{
"mcpServers": {
"voicegen-port": {
"command": "npx",
"args": [
"-y",
"@reneturcios/voicegen-port",
"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": {
"voicegen-port": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/voicegen-port",
"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.
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Runs on your computer; the tool list appears in your AI app after you install it.
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This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
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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.
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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 (0.1.0) reached the registry 6 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js, Docker on your computer.
In the same category: Figma Context MCP, Claude Real Video, Figma MCP Server
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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.
voicegen-port turns text into spoken audio, and audio back into text, through the ElevenLabs API. It can read a paragraph aloud in a chosen voice, invent a sound effect from a description, transcribe a recording, clean a noisy clip down to its voice, and manage the voice library itself — designing new voices from a written description and saving the ones worth keeping. It runs from the command line or as an MCP server for agents.
An ElevenLabs API key is required. Put it in the ELEVENLABS_API_KEY environment variable; the key is sent to the API as the xi-api-key header and never appears in output. When the variable is missing, every call fails with an error that names it.
Audio is binary, and this tool treats it honestly: generation calls report an artifact summary (byte count, base64 length, content type) instead of dumping raw audio into text output.
npx @reneturcios/voicegen-port voices
Or run the container image:
docker run -i -e ELEVENLABS_API_KEY ghcr.io/cloudcorprecords/voicegen-port
The container defaults to the MCP server (see below). Pass CLI arguments to use it as a CLI instead.
export ELEVENLABS_API_KEY="your ElevenLabs API key"
voicegen-port tts "Welcome to the show" --voice v_george voicegen-port sfx "rain on a tin roof" --duration 4 voicegen-port stt interview.mp3 --language en voicegen-port isolate noisy-call.mp3 voicegen-port voices voicegen-port voice v_rachel voicegen-port search-voices "narrator" --page-size 5 voicegen-port design "A calm British narrator" --text "Sample line" voicegen-port create-from-preview gen_1 "Calm Narrator" voicegen-port add-voice "Studio Voice" --description "Warm and close" voicegen-port delete-voice v_old voicegen-port models voicegen-port subscription voicegen-port user
voicegen-port --version
Exit codes: 0 on success, 1 when a call fails (including a missing ELEVENLABS_API_KEY or an API error), 2 for usage errors.
One bin serves both faces. The mcp subcommand starts a stdio MCP server:
npx -y @reneturcios/voicegen-port mcp
MCP client configuration:
{
"mcpServers": { "voicegen-port": { "command": "npx", "args": ["-y", "@reneturcios/voicegen-port", "mcp"], "env": { "ELEVENLABS_API_KEY": "your ElevenLabs API key" } } } }
This is the documented core subset (14 tools) of the official ElevenLabs MCP server. The conversational-AI and telephony tools (create_agent, list_agents, get_agent, delete_agent, add_knowledge_base_to_agent, make_outbound_call, list_phone_numbers) plus voice_clone, speech_to_speech, and play_audio are not implemented; see the build report.
| Tool | Input | What it returns |
|---|---|---|
text_to_speech | text (required), voice_id, model_id, output_format (optional) | Audio artifact summary: bytes, base64 length, content type. |
text_to_sound_effects | text (required), duration_seconds, prompt_influence (optional) | Audio artifact summary for the generated effect. |
speech_to_text | file_path (required), language_code, model_id (optional) | The transcription payload, including its text. |
isolate_audio | file_path (required) | Audio artifact summary for the isolated voice track. |
list_voices | — | All voices: id, name, and category per voice. |
get_voice | voice_id (required) | The full voice record. |
search_voices | search (required), category, page_size (optional) | Matching voices in the same summary shape. |
text_to_voice | prompt (required), text (optional) | Voice design previews, including generated voice ids. |
create_voice_from_preview | generated_voice_id, voice_name (required), voice_description (optional) | The saved voice record. |
add_voice | name (required), description (optional) | The added voice record. |
delete_voice | voice_id (required) | The API's deletion response. |
list_models | — | All models: id, name, and description per model. |
check_subscription | — | The account's subscription record. |
get_user_info | — | The API key owner's user record. |
Calls go to https://api.elevenlabs.io/v1 with JSON bodies. speech_to_text and add_voice are multipart uploads upstream; this rebuild shapes them as JSON bodies naming the file / voice, a simplification recorded in the build report.
npm install
npm run build # tsc -> dist/ npm test # node test runner over test/*.test.ts, no network (fake fetch fixtures) npm run dev # run the CLI from source via tsx
MIT — see LICENSE.