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PopNx MCPMCP servers for people who use AI · explained in plain words

Venice AI

by veniceaiversion 0.3.2i★ 78iRuns on your computer
Registry nameio.github.veniceai/venice-mcp-server

How to install

What it does

Images, video, music, speech and private chat from Venice AI's models, on one API key.

  • Connects Runs on your computer
  • Account or key Needs VENICE_API_KEY
  • Category Design, images & audio

Install

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

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Sign up and create a Venice AI key

    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.

    Open the Venice AI site ↗

  3. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  4. Paste these settings and save the file

    {
      "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

  5. Quit Claude and open it again

  6. Try it

    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

What you can do instead

A · Use an app that can connect Venice AI

  • 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
  • You need a Venice AI key (create it on the maker’s site) · Install Node.js on your computer first (one time)
  • You need a Venice AI key (create it on the maker’s site) · Install Node.js on your computer first (one time)
  • You need a Venice AI key (create it on the maker’s site) · Install Node.js on your computer first (one time)

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)

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Sign up and create a Venice AI key

    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.

    Open the Venice AI site ↗

  3. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  4. Paste this command and press Enter

    claude mcp add --scope user venice --env VENICE_API_KEY=your-value -- npx -y @veniceai/mcp-server

    Replace “your-value” with your key before pressing Enter

    Paste the key only into the app’s field, never into a chat or to anyone

  5. Type /mcp in Claude Code

    You should see Venice AI listed as connected

  6. Try it

    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)

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Sign up and create a Venice AI key

    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.

    Open the Venice AI site ↗

  3. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  4. Fill in your key

    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

  5. Open the AI chat in Cursor in Agent mode

  6. Try it

    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)

  1. Install Node.js

    One time only; it works for every server that needs Node.js

    Open the Node.js download page ↗

  2. Sign up and create a Venice AI key

    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.

    Open the Venice AI site ↗

  3. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  4. Fill in your key

    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

  5. Open the AI chat in VS Code in Agent mode

  6. Try it

    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

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use Venice AI💬 Discussion →
For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add --scope user venice --env VENICE_API_KEY=your-value -- npx -y @veniceai/mcp-server

Claude 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"
      }
    }
  }
}

Values you fill in

  • VENICE_API_KEY secret required env
    Venice API key from venice.ai/settings/api. Use an INFERENCE key with a spend limit.

Descriptions are as written by the maker.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

Downloads per weeki
627/wk
Licencei
No licence stated
Connection
Runs on your computer
Latest versioni
0.3.2
Published to registryi
Nov 11, 2026
Code last changedi
Nov 11, 2026
Maker
veniceai
Packages
npm: @veniceai/mcp-server
Registry status
Active

Which apps can use it

Based 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

All apps, with pros and cons →

Related guides

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

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

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account veniceai, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed 3 days ago

  • ! Caution

    Has a licence

    GitHub could not identify the licence type; open the file to check

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

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User reviews

No reviews yet

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Compared with others in Design, images & audioi

  • More stars than 97% of the other 3052 servers in this category
  • Published to the registry more recently than 89% of the other 3052 servers in this category
  • Basic checks equal to or better than 50% of the other 3052 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Venice AI safe?

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.

What keys or codes does it need?

You need to fill in: VENICE_API_KEY

Does it run on my computer or in the cloud?

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).

Is it still maintained?

The GitHub repo last changed 3 days ago, and the latest version (0.3.2) reached the registry 3 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Figma Context MCP, AutoClip, Next AI Draw.io

Others in the same category

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

Figma Context MCP

Give your coding agent access to your Figma data. Implement designs in any framework in one-shot.

by GLipsWidely used↓ 152.1K/wk★ 16.2KUpdated 5 months ago

Runs on your computer

AutoClip

Clip long videos into short clips with covers and captions. Local CLI and MCP.

by zhouxiaokaWidely used↓ 205/wk★ 10.4KUpdated 17 days ago

Runs on your computer

Next AI Draw.io

draw.io diagrams your AI agent draws on a live browser canvas that you can also edit by hand

by DayuanJiangWidely used↓ 21.7K/wk★ 36.9K Stars for the whole repoUpdated today

Runs on your computer

README from the maker

Open the README

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.

@veniceai/mcp-server

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.

Quick start

1. Get a key from venice.ai

See the API key guide for step-by-step instructions.

2. Add this to your MCP host config

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": " " } } } }

3. Restart your MCP host

That's it. Type a prompt — your agent now has chat, image, video, music, TTS, ASR, and 39 more Venice tools.

What you get

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.

💬 Chat & embeddings
ToolDescription
venice_chatChat 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_responsesAlpha, 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_embeddingsCompute embeddings for text input (OpenAI-compatible).
venice_chat_with_characterChat with a Venice character by slug.
🎨 Image
ToolDescription
venice_image_generateGenerate 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_editEdit an image with a prompt. Supports free-string sizing, output format, and prompt enhancement; returns a base64 image.
venice_image_multi_editEdit multiple images together with a single prompt (multi-image composition / outpainting), including free-string sizing, quality, output format, and prompt enhancement.
venice_image_upscaleUpscale an image (2–4× scale, with a creativity control). Returns base64 PNG.
venice_image_remove_bgRemove image background; returns a transparent PNG.
venice_image_stylesList image style presets available for venice_image_generate.
🎬 Video
ToolDescription
venice_video_generateQueue 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_statusCheck 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_completeMark a completed video as downloaded. Reports server-side deletion only when Venice confirms success.
venice_video_quoteGet a price quote for a video generation BEFORE queuing.
🔊 Audio (TTS / ASR)
ToolDescription
venice_ttsConvert text to speech. Supports cloned voices, temperature, and Venice's streaming flag; MCP returns the completed audio as one buffered result.
venice_asrTranscribe audio from a URL as JSON or text, with optional word and character timestamps.
venice_voice_cloneDiscover 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_quoteGet a price quote for music generation BEFORE queuing.
🎵 Music
ToolDescription
venice_music_generateQueue 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_statusCheck status of a queued music job. Returns JSON progress while PROCESSING, then either embedded audio or a download_url resource link.
venice_music_completeMark a completed music job as downloaded and delete server-side media.
🌐 Web augment
ToolDescription
venice_web_searchSearch 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_scrapeScrape one URL into markdown text.
venice_text_parserExtract text from a document URL (PDF, DOCX, EPUB, PPTX, XLSX, …).
📚 Catalog
ToolDescription
venice_list_modelsPage 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_detailsGet one exact model's full catalog row, including model_spec constraints, capabilities, and pricing.
venice_model_traitsGet the live trait-name to model-id mapping for a model type.
venice_model_compatibility_mappingGet compatible model-name to Venice model-id mappings.
venice_list_charactersList public Venice characters with search, tag/category/model, content, capability, sort, and pagination filters. API key only.
venice_get_characterGet a public character by slug. API key only.
venice_character_reviewsList paginated public reviews for a character. API key only.
🔐 TEE attestation
ToolDescription
venice_tee_attestationFetch Intel TDX attestation evidence, optional NVIDIA evidence, and the model signing key using a caller-generated 32-byte nonce.
venice_tee_signatureFetch 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.

Media API behavior
  • Successful upstream responses have a default 16 MiB limit, including JSON and text without a declared Content-Length. Tool-specific image, video, audio, transcription, billing, and RPC limits take precedence. Oversized responses fail without a partial result; an inference may already have completed and incurred a charge before the limit is reached. There is no environment override for this default.
  • Inline uploads for image upscale, ASR, voice cloning, and document parsing should include a concrete MIME type, for example 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.
  • Upstream API redirects are rejected to keep credentials and request bodies at the configured API origin.
  • Image 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.
  • Current public Seedance models may reject media containing detectable persons outright. Defensive support remains for compatible or legacy 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

Only the beginning is shown; read the rest in the repo