Figma Context MCP
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
Images, video, music, speech and private chat from Venice AI's models, on one API key.
Pick the AI app you use, then copy the settings.
Passed 2/3 checks · Runs on your computer · ✓ Commands checked Nov 13, 2026
First: which AI do you use?
Pick your app and the steps appear below.
Works with Claude, with some setup first
You need a Venice AI key (create it on the maker’s site) · Install Node.js on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
One time only; it works for every server that needs Node.js
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
SettingsDeveloperEdit Config
{
"mcpServers": {
"venice": {
"command": "npx",
"args": [
"-y",
"@veniceai/mcp-server"
],
"env": {
"VENICE_API_KEY": "your-value"
}
}
}
}Paste the key only into the app’s field, never into a chat or to anyone
Use Venice AI and tell me what you can do for me, then show me one thing✓ If Claude says it is using Venice AI or shows a Venice AI tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
ChatGPT cannot connect Venice AI yet
Venice AI runs on your computer, but ChatGPT can only connect servers that run on the web
A · Use an app that can connect Venice AI
B · Others in Design, images & audio that work with ChatGPT
Picked from the most used in the same category, only ones that connect by address with no key
Works with Claude Code, with some setup first
You need a Venice AI key (create it on the maker’s site) · Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --scope user venice --env VENICE_API_KEY=your-value -- npx -y @veniceai/mcp-serverReplace “your-value” with your key before pressing Enter
Paste the key only into the app’s field, never into a chat or to anyone
You should see Venice AI listed as connected
Use Venice AI and tell me what you can do for me, then show me one thing✓ If Claude Code says it is using Venice AI or shows a Venice AI tool in the answer, you are connected
Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with Cursor, with some setup first
You need a Venice AI key (create it on the maker’s site) · Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
In the Venice AI settings, VENICE_API_KEY is empty; add your key and save
Paste the key only into the app’s field, never into a chat or to anyone
Use Venice AI and tell me what you can do for me, then show me one thing✓ If Cursor says it is using Venice AI or shows a Venice AI tool in the answer, you are connected
Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Works with VS Code, with some setup first
You need a Venice AI key (create it on the maker’s site) · Install Node.js on your computer first (one time)
One time only; it works for every server that needs Node.js
Open the maker’s site, sign up and create an API key for the next step. Check the maker’s site for pricing and free plans.
In the Venice AI settings, VENICE_API_KEY is empty; add your key and save
Paste the key only into the app’s field, never into a chat or to anyone
Use Venice AI and tell me what you can do for me, then show me one thing✓ If VS Code says it is using Venice AI or shows a Venice AI tool in the answer, you are connected
Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version
Claude Code
claude mcp add --scope user venice --env VENICE_API_KEY=your-value -- npx -y @veniceai/mcp-serverClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"venice": {
"command": "npx",
"args": [
"-y",
"@veniceai/mcp-server"
],
"env": {
"VENICE_API_KEY": "your-value"
}
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"venice": {
"command": "npx",
"args": [
"-y",
"@veniceai/mcp-server"
],
"env": {
"VENICE_API_KEY": "your-value"
}
}
}
}VS Code (mcp.json)
{
"servers": {
"venice": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@veniceai/mcp-server"
],
"env": {
"VENICE_API_KEY": "your-value"
}
}
}
}VENICE_API_KEY secret required envDescriptions are as written by the maker.
These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.
npm: @veniceai/mcp-serverBased on how this server connects and on each app’s own docs, checked Nov 10, 2026.
Run on your computer in
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
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 14, 2026
The registry name was verified with the GitHub account veniceai, which owns the repo
Code last changed 3 days ago
GitHub could not identify the licence type; open the file to check
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
Ask, share a tip or report that it does not work. Sorted by what people marked helpful.
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No reviews yet
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
It passed 2 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: VENICE_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 3 days ago, and the latest version (0.3.2) reached the registry 3 days 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, AutoClip, Next AI Draw.io
Servers in the same category from other makers, sorted by stars.
Reading a card:↓ Downloads per weeki★ 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.
Clip long videos into short clips with covers and captions. Local CLI and MCP.
draw.io diagrams your AI agent draws on a live browser canvas that you can also edit by hand
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.
Model Context Protocol server for the Venice API - uncensored, private AI for any MCP host (Claude Desktop, Cursor, ChatGPT, LM Studio, Continue, LibreChat, Open WebUI, AnythingLLM, Jan, Le Chat).
Plug Venice's chat, image, video, audio, music, and character models into any agent in 30 seconds, including billing and API-key operations. 45 tools across all modalities, one config block.
Requires Node.js 20 or newer; Node.js 22 or 24 is recommended. CI tests Node.js 20, 22, and 24. The refreshed MCP SDK dependency graph requires Node.js 20 for fresh installs, so upgrade Node.js before installing this version if you previously used Node.js 18.
See the API key guide for step-by-step instructions.
Claude Desktop (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows), Cursor (~/.cursor/mcp.json), LM Studio, etc:
{
"mcpServers": { "venice": { "command": "npx", "args": ["-y", "@veniceai/mcp-server@0.3.2"], "env": { "VENICE_API_KEY": " " } } } }
That's it. Type a prompt — your agent now has chat, image, video, music, TTS, ASR, and 39 more Venice tools.
45 tools spanning every Venice modality plus billing and API-key operations, 3 resources (venice://models, venice://styles, venice://voices) and 9 prompt templates: uncensored research, NSFW creative writing and an image style explorer, plus six creator workflows (create image, create video, create audio, YouTube thumbnail, product photoshoot and explainer video) that walk the agent from a brief to a finished result, quoting paid video and music jobs first. Hosts such as Claude Code show them as slash commands, for example /mcp__venice__create-video. VENICE_DISABLE_NSFW=1 hides the first two. The voices resource is built live from each TTS model's catalog metadata.
Every tool declares explicit readOnlyHint, destructiveHint, idempotentHint and openWorldHint annotations to help hosts decide when to request approval. Video and music status tools are marked destructive because their optional delete_media_on_completion argument can delete stored media before returning the result. Hints describe a tool's possible behavior; hosts should still enforce their own approval policy.
| Tool | Description |
|---|---|
venice_chat | Chat completions with documented text/image/audio/video/file blocks, structured response formats, function tools, prompt caching, and reasoning controls. Calls are plaintext and non-streaming. |
venice_responses | Alpha, stateless Responses API for text models. Supports text/image input and reasoning controls. E2EE-capable models are not supported, and this tool does not expose unreliable tool fields. |
venice_embeddings | Compute embeddings for text input (OpenAI-compatible). |
venice_chat_with_character | Chat with a Venice character by slug. |
| Tool | Description |
|---|---|
venice_image_generate | Generate an image. Supports model-specific width/height or free-string aspect_ratio/resolution, quality tiers, prompt enhancement, style references, web search, variants, and output format. |
venice_image_edit | Edit an image with a prompt. Supports free-string sizing, output format, and prompt enhancement; returns a base64 image. |
venice_image_multi_edit | Edit multiple images together with a single prompt (multi-image composition / outpainting), including free-string sizing, quality, output format, and prompt enhancement. |
venice_image_upscale | Upscale an image (2–4× scale, with a creativity control). Returns base64 PNG. |
venice_image_remove_bg | Remove image background; returns a transparent PNG. |
venice_image_styles | List image style presets available for venice_image_generate. |
| Tool | Description |
|---|---|
venice_video_generate | Queue a video generation. Supports Veo 3.1, Kling, Wan, Seedance (incl. reference-to-video), MiniMax, PixVerse, Runway, LTX, Grok Imagine, and others. Accepts image, video, audio, reference inputs, and the Seedance consent attestation flow where applicable. |
venice_video_status | Check status of a queued video job. Returns JSON progress while PROCESSING, then either an embedded MP4 or a download_url resource link. Pass the queue-time download_url for VPS / Grok Imagine Private models. |
venice_video_complete | Mark a completed video as downloaded. Reports server-side deletion only when Venice confirms success. |
venice_video_quote | Get a price quote for a video generation BEFORE queuing. |
| Tool | Description |
|---|---|
venice_tts | Convert text to speech. Supports cloned voices, temperature, and Venice's streaming flag; MCP returns the completed audio as one buffered result. |
venice_asr | Transcribe audio from a URL as JSON or text, with optional word and character timestamps. |
venice_voice_clone | Discover live model-scoped voice metadata, or clone a voice from a sample audio URL for tts-chatterbox-hd (default) or tts-minimax-speech-02-hd. Cloned voices are returned as a vv_ handle to pass as the venice_tts voice. |
venice_audio_quote | Get a price quote for music generation BEFORE queuing. |
| Tool | Description |
|---|---|
venice_music_generate | Queue music generation. Uses the live QueueAudioRequest fields: force_instrumental, lyrics_prompt, lyrics_optimizer, loop, voice, language_code, speed, and model-specific duration_seconds. Deprecated instrumental / lyrics are still accepted as aliases. |
venice_music_status | Check status of a queued music job. Returns JSON progress while PROCESSING, then either embedded audio or a download_url resource link. |
venice_music_complete | Mark a completed music job as downloaded and delete server-side media. |
| Tool | Description |
|---|---|
venice_web_search | Search with Brave (default, Zero Data Retention), Google (proxied/anonymized by Venice), or Exa (Zero Data Retention). Returns the parsed { query, results } as structured content. |
venice_web_scrape | Scrape one URL into markdown text. |
venice_text_parser | Extract text from a document URL (PDF, DOCX, EPUB, PPTX, XLSX, …). |
| Tool | Description |
|---|---|
venice_list_models | Page through the live model catalog, every type by default, with server-side filtering for asr, decision, embedding, image, music, text, tts, upscale, inpaint, video, all, code, or any newer catalog type. Returns compact summaries (50 per page by default, up to 200) with total, next_offset, and every matching model id; set verbose for full model objects. |
venice_model_details | Get one exact model's full catalog row, including model_spec constraints, capabilities, and pricing. |
venice_model_traits | Get the live trait-name to model-id mapping for a model type. |
venice_model_compatibility_mapping | Get compatible model-name to Venice model-id mappings. |
venice_list_characters | List public Venice characters with search, tag/category/model, content, capability, sort, and pagination filters. API key only. |
venice_get_character | Get a public character by slug. API key only. |
venice_character_reviews | List paginated public reviews for a character. API key only. |
| Tool | Description |
|---|---|
venice_tee_attestation | Fetch Intel TDX attestation evidence, optional NVIDIA evidence, and the model signing key using a caller-generated 32-byte nonce. |
venice_tee_signature | Fetch the enclave response-signature payload for a chat completion request ID. |
Both routes are currently live without authentication. They only apply to text models advertising supportsTeeAttestation. These tools expose evidence; they do not verify it, and this server does not encrypt chat. venice_chat rejects enable_e2ee.
Both chat tools retain the upstream completion id and actual model, when present, in structuredContent. Only responses with the upstream X-Venice-TEE: true header also include those values in an additional JSON text block for text-only clients. Pass those values to venice_tee_signature to retrieve the signature for that completion. Ordinary responses keep their existing answer text without an extra metadata block; the first block and tool-call fallbacks are unchanged. The header is an upstream indication, not cryptographic verification.
data:application/pdf;base64,.... Base64 and percent-encoded payloads preserve the original bytes; malformed base64 is rejected before upload. When the type is omitted or application/octet-stream, the server infers PDF, PNG, JPEG, GIF, WebP, WAV, or FLAC from the file signature and supplies a matching filename extension. Other formats require an explicit type; for DOCX use application/vnd.openxmlformats-officedocument.wordprocessingml.document, for MP3 use audio/mpeg, for M4A use audio/mp4, and for Ogg audio use audio/ogg. Shared container signatures and audio tags do not uniquely identify these formats, so these inputs are rejected locally until a concrete type is supplied.venice_embeddings accepts at most 128 texts per call, for both float and base64 output. Larger batches are rejected locally before submission, so the rejected batch incurs no upstream charge. Split larger jobs into separate calls; the server never automatically splits or retries a batch. This conservative limit avoids the observed overflow for a 256-text, 4,096-dimension float response, but is not a byte-size guarantee for every model or response encoding. The 16 MiB guard still applies, and an unusually large response from an accepted batch can still be rejected after processing upstream.aspect_ratio and resolution values remain free strings because supported values vary by model. Venice validates them. When enhance_prompt is applied, image generate/edit/multi-edit results include the URL-decoded enhanced_prompt returned in x-venice-enhanced-prompt. Image responses are capped at VENICE_MAX_IMAGE_RESPONSE_BYTES (default 32 MiB). Unlike an oversized video, an oversized image result cannot be retried for free, so request fewer variants, a lower resolution, or jpeg/webp output for large batches.needs_consent responses: the tool returns Venice's policy text, affected media roles, and next step. The three consents.seedance flags are legal attestations and must only be set to true after the user explicitly confirms all three statements. Consent is never