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.
选择你使用的 AI 应用,然后复制设置。
通过 2/3 项检查 · 在你的电脑上运行 · ✓ 命令已检查 2026年11月13日
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude,但需要先准备
需要 Venice AI 的密钥(在开发者网站创建) · 需要先在电脑上安装 Node.js(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
SettingsDeveloperEdit Config
{
"mcpServers": {
"venice": {
"command": "npx",
"args": [
"-y",
"@veniceai/mcp-server"
],
"env": {
"VENICE_API_KEY": "your-value"
}
}
}
}只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
用 Venice AI 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 Venice AI,或回答中出现 Venice AI 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
ChatGPT 暂时无法连接 Venice AI
Venice AI 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器
A · 使用能连接 Venice AI 的应用
B · 设计、图片与音频 类中能连接 ChatGPT 的其他服务器
从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的
可连接 Claude Code,但需要先准备
需要 Venice AI 的密钥(在开发者网站创建) · 需要先在电脑上安装 Node.js(只需一次)
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
claude mcp add --scope user venice --env VENICE_API_KEY=your-value -- npx -y @veniceai/mcp-server按 Enter 前,把“your-value”改成你的密钥
只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
应能看到 Venice AI 在列表中并显示已连接
用 Venice AI 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 Venice AI,或回答中出现 Venice AI 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor,但需要先准备
需要 Venice AI 的密钥(在开发者网站创建) · 需要先在电脑上安装 Node.js(只需一次)
在 Venice AI 的设置中,VENICE_API_KEY 还是空的,填入你的密钥并保存
只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
用 Venice AI 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 Venice AI,或回答中出现 Venice AI 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code,但需要先准备
需要 Venice AI 的密钥(在开发者网站创建) · 需要先在电脑上安装 Node.js(只需一次)
在 Venice AI 的设置中,VENICE_API_KEY 还是空的,填入你的密钥并保存
只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人
用 Venice AI 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 Venice AI,或回答中出现 Venice AI 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
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 机密 必填 env说明为自动翻译,变量名保持原样;不确定时请查看原文。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
在你的电脑上运行,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月14日
注册名称已通过 GitHub 账户 veniceai 验证,该账户拥有此仓库
代码最后更新于3天前
GitHub 无法识别许可证类型;请打开文件自行查看
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
还没有评价
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 3 项适用的基础检查中通过了 2 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:VENICE_API_KEY
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于3天前,最新版本(0.3.2)于3天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js。
同一分类中有:Figma Context MCP, AutoClip, Next AI Draw.io
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.
draw.io diagrams your AI agent draws on a live browser canvas that you can also edit by hand
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
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