AI Gateway MCP

io.github.Armulee由 GitHub 账号 Armulee 发布v0.1.0更新于 Oct 24, 2026

Pictures, video, voice and transcripts from any Vercel AI Gateway model, on your own Vercel copy.

已验证Streamable HTTP可网页运行云端与基础设施媒体与设计AI 与机器学习

概览

AI 生成的概览

自托管的 Vercel 连接器，让聊天应用通过 Vercel AI Gateway 模型生成图片、视频、语音和转写，费用从你自己的额度扣除。

可以做什么
  • 生成和编辑图片、放大图片，并列出此前制作的媒体文件
  • 启动、编辑、延长、放大和获取视频任务，包括把参考视频中的动作迁移到角色上
  • 把文字转为语音，并转写音频或视频文件，可选带时间戳
  • 列出 AI Gateway 模型及目录价格，用另一个模型生成文本，查看额度与花费
  • 在真正执行前估算图片或视频调用的价格
适用场景
适合希望助手在聊天中直接产出媒体内容（图片、短片、旁白、转写）的场景，可选用多种模型，并按服务商标价通过自己的 Vercel AI Gateway 额度付费，而非订阅制。
运行要求
需要 Vercel 账号以及 GitHub、GitLab 或 Bitbucket 账号来部署自己的副本；视频和文件链接需要私有 Blob 存储；连接器密钥以 MCP_SECRET_SHA256（或 MCP_SECRET）形式放在 URL 路径中；需要 Vercel AI Gateway 额度；本地使用可选 AI_GATEWAY_API_KEY。
安装前请注意
连接器 URL 相当于一个能花钱的密码：任何拿到它的人都能使用你的 AI Gateway 额度，请妥善保管，泄露后立即更换密钥。只有 Vercel AI Gateway 的预算能限制总花费，单次调用上限无法覆盖以你自己的视频为输入的工具。生成的媒体存放在私有 Blob 存储中，但任何持有返回链接的人都能在链接过期前打开文件。Vercel 团队成员可能在请求日志中看到密钥。

安装

在 SourceWeft 中

  1. 打开 控制台中的 AI Gateway MCP，将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable，通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

其他 MCP 客户端

参照 仓库 中的启动说明。

README

[AI Gateway MCP: pictures, video and voice from every AI model, right inside Claude and ChatGPT. No extra fees.]

[Deploy your own copy on Vercel, in one click]

One click, and you are done.
Vercel copies this repo to your account, makes your private storage and asks for one secret. Your copy then walks you through the rest.

[MIT license] [MCP over Streamable HTTP] [Next.js 16] [AI SDK with Vercel AI Gateway]

What you can make · How it works · Get started · What it costs · Tools · Keep it safe


The provider's own price, right inside your chat. No markup, no subscription, no API key. Add this connector to Claude, ChatGPT or any MCP app and it can make pictures, video and voice with 400+ models on Vercel AI Gateway: Veo, Kling, Seedance, Nano Banana, GPT Image, FLUX and more. You run your own copy on your own Vercel account, so every call is paid from your own Gateway credits at the price the provider sets.

[A chat on claude.ai: asked to paint a little fox collecting stars in watercolour the cheapest way, Claude compares prices, picks Recraft v4.1 Flash and shows the picture for $0.007. Asked to turn it into a short video the cheapest way, it picks HeyGen Video 1 and the five-second video plays in the chat, for $0.09.] A real chat on claude.ai, October 2026: a picture for $0.007, then a five-second video for $0.09 (HeyGen Video 1). Waiting while models work is sped up. See the demo.

What you can make

Ask in plain words. Your chat does the thinking and the writing with everything it already knows about you; the connector makes the pictures, the video and the voice.

Shoot a short film

"Write a one-minute sci-fi short, storyboard it, then film every scene with sound."

Your chat writes the script and plans each shot. The connector draws the storyboard and films the scenes.

generate_image start_video get_video
10 scenes with sound: $12.00 on Veo 3.1 Fast

Write and illustrate a book

"Write a 12-chapter bedtime story about a fox who collects stars, and paint every chapter in watercolour."

Your chat writes the story. The connector paints the cover and a picture for each chapter, in one style.

generate_image edit_image
12 pictures: $1.61 on Nano Banana Pro

Turn it into an audiobook

"Read chapter one aloud in a warm, slow voice, like a bedtime story."

The connector narrates the text and hands back an audio file you can play right in the chat.

generate_speech
A 2,000-word chapter: about $0.33 on TTS-1 HD

Shoot a product

"Take this photo of my mug, put it on white marble in morning light, then make a slow turntable clip."

The connector edits your own photo into new shots, then films a short clip from the best one.

edit_image start_video get_video
4 shots and a 5-second clip: $0.66 on FLUX Kontext Pro and Veo 3.1 Fast

Make anyone dance

"Make the character in this picture do the dance in this video."

The connector copies the moves from a reference video onto your character, frame by frame.

motion_control get_video
A 10-second dance: $1.26 on Kling 3.0 Motion Control

Run a month of posts

"Plan 30 days of posts for my bakery, write the captions, and make a picture for each day."

Your chat plans the month. The connector makes a picture for every day and vertical clips for the big ones.

generate_image start_video get_video
30 pictures and 8 clips: $10.43 on Nano Banana Pro and Veo 3.1 Fast

Turn a recording into notes

"Transcribe this meeting with timestamps, then give me the decisions and who owns what."

The connector writes down every word; your chat turns it into notes, subtitles or a translation.

transcribe
A 20-minute recording: $0.12 on Whisper

Pick the right model

"Which video model is cheapest for an 8-second clip that still looks good?"

The connector lists every model with its AI Gateway catalog price, so your chat can choose for you, or compare a few side by side.

list_models check_credits
Free reading the catalog costs nothing

Costs are AI Gateway catalog prices from October 2026, for the example quantities shown. They are examples, not quotes: the provider's bill can differ from the catalog (see What it costs), and each call reports what it actually cost. Ask list_models for today's catalog.

How it works

[How it works: you ask in Claude, ChatGPT or any MCP app; your own copy on Vercel checks the secret and calls AI Gateway with its OIDC token, billed to your credits; any picture, video or voice model answers.]

  1. You ask in chat. Claude, ChatGPT or any app that speaks MCP picks the right tool.
  2. Your own copy answers. It runs on your Vercel account and checks your secret link.
  3. AI Gateway runs the model, billed to your own credits at the provider's price. No API key: your copy signs in with Vercel's own token.

What is MCP? The Model Context Protocol is how chat apps plug in outside tools. This project is one of those tools: once you add its link, your chat app can make things with any model on AI Gateway.

Get started

You need a Vercel account and a GitHub, GitLab or Bitbucket account.

1. Deploy

Click the button. Vercel copies the repo and makes your private storage. Your new page then makes your secret. Choose Set up with your agent: copy one prompt into Claude with the Vercel connector and it adds the secret's fingerprint (and storage, if missing) and redeploys. Or choose Set up manually and follow the steps.

2. Open your copy

Go to https://<your-project>.vercel.app. It checks itself, builds your link and tests it.

3. Add it to your chat

In Claude: Settings → Connectors → Add custom connector, paste the link. ChatGPT and others take it as a custom MCP server.

[Deploy your own copy on Vercel, in one click]

Then set a spend budget in the Vercel dashboard (AI Gateway → Budgets). It is the real limit on what your link can ever spend.

Your copy comes with its own setup page

Open your copy and it shows where you are: an arch of six stones, one per step. Set stones glow, the next one breathes, and clicking a stone opens its step.

[The setup page: 'Build your gateway. 3 of 6 done.' beside an arch of six stones, three lit, the next one outlined.]

[The steps, each with a small arch badge lighting its own stone; done steps fold to one line and the next one is open.]

One step at a time. Done steps fold away and the next one opens with exactly what to do.

 [Get your link and test it: the secret pasted and hidden, and a passing test listing all 15 tools.]

Your link, tested. In the browser that made your secret it's checked by itself; anywhere else, paste it once and test it. Open on your phone shows a QR code that opens your page on your phone with the secret already saved. Claude on your phone needs none of this: connectors added on claude.ai show up there by themselves.

[Set your secret: done, with a button to make a new secret in the browser.]

A secret that never leaves your browser. Made and saved there the moment you reach the step, with your link ready to copy. Vercel only gets its fingerprint (MCP_SECRET_SHA256), which can't open your connector: add it, redeploy once (it covers the storage too), and the page checks your link by itself. Or press Copy setup prompt and paste it into Claude with the Vercel connector: it adds the fingerprint and redeploys for you.

 [Add it to your chat app, with tabs for Claude, ChatGPT and other apps, and a test prompt to copy.]

Into your chat app. Steps for Claude, ChatGPT and any other MCP app, and a test prompt to try it.

Once every step is done, the guide steps aside for good. From then on your page opens on the brand and goes straight to your usage. If anything comes undone later (say MCP_SECRET_SHA256 is removed), the guide comes back by itself.

[With setup done: a point of light, the arch built outward from it, the arch shrinking into the logo as the name appears, then flying to the corner as the usage page opens.]

[Your usage, shown with sample numbers: $19.48 spent through this connector in the last 30 days, and spend per day as columns of light.]
Your usage, unlocked with your secret (shown here with sample numbers): what this connector spent, day by day, by model and by chat app.

What it costs

Nothing from this project: it is free and MIT licensed, with no plan and no fee. You pay what each provider charges, with no markup, through your own AI Gateway credits, and every Vercel team gets free monthly credits for a set of models. In Vercel's words (AI Gateway pricing):

AI Gateway charges no markup and no platform fee on tokens. You pay the provider's list price on a pay-as-you-go basis.

You ask forModelCatalog price
A picturerecraft/recraft-v4.1-flash$0.007
A picturegoogle/gemini-3-pro-image (Nano Banana Pro)$0.134
An edit of your own photobfl/flux-kontext-pro$0.04
8 seconds of video, with soundgoogle/veo-3.1-fast-generate-001$1.20
10 seconds of motion copied onto a characterklingai/kling-v3.0-motion-control$1.26
1,000 words read aloudopenai/tts-1-hdabout $0.17
An hour of speech written downopenai/whisper-1$0.36

From the AI Gateway catalog, October 2026. The catalog is a guide, not the bill: the provider's charge can differ. In October 2026 bfl/flux-3-image was listed at $0.024 for a 1024x1024 picture while Black Forest Labs billed $0.048 (passed on with no surcharge); the catalog has since been corrected. Each call reports its actual cost; ask list_models for today's catalog.

This project is not made by or affiliated with Vercel. Version 1 means you run your own copy, so setup is as short as I could make it: the goal is for everyone to use AI at the price providers actually set.

Tools

Your chat app picks these for you; you never have to name them. Every tool returns readable errors that name the model: unknown model, not enough credits, video not on your plan, provider errors.

Pictures
generate_image makes images from words, with image models (FLUX, GPT Image, Recraft) and image-capable LLMs (Nano Banana).

edit_image changes your own images: remove a background, restyle, extend the canvas, combine several.

upscale_image makes an image sharper and larger (Topaz).
Video
start_video films from words, from a picture, from a first to a last frame, or with your characters as references, with sound if you like.

motion_control copies the moves in a video onto a character (Kling).

edit_video, extend_video change or continue a clip (Grok Imagine).

upscale_video sharpens and enlarges a clip (Topaz).

get_video fetches any of them when ready.
Voice
generate_speech reads text aloud for narration and voice-overs (OpenAI, Gemini, Fish Audio, MAI Voice).

transcribe writes down the speech in an audio or video file, with timestamps if you like.
Models and your account
list_models lists every model with its AI Gateway catalog price.

generate_text asks another model for text, to compare answers.

check_credits shows your credits and this connector's spend.

list_files finds the pictures, videos and audio you made before.
Every tool and its inputs
ToolWhat it does
list_models({ type?, query? })Lists the models in the AI Gateway catalog with their type (text, image, video, speech, transcription), capabilities (t2v, i2v, …) and catalog price.
generate_text({ model, prompt, system?, max_tokens?, file_urls? })Generates text. Returns the text plus its cost when AI Gateway reports one. With file_urls (https links to images, videos, audio or PDFs, up to 10 files and 20 MB in total) the model reads them too, e.g. google/gemini-3.5-flash-lite summarizing a video. Pick a model tagged vision, video-input, audio-input or file-input in list_models.
generate_image({ model, prompt, size_or_aspect?, n?, estimate_only? })Works with image models (bfl/flux-2-pro, openai/gpt-image-2, …) and image-capable LLMs (google/gemini-3-pro-image). Images come back inline, and as expiring links when Blob is connected. Models that take only exact sizes (Recraft, OpenAI) get the nearest size for a ratio like 16:9, and the reply says which.
edit_image({ model, prompt, image_urls, mask_url?, size_or_aspect?, n?, estimate_only? })Changes existing images from an instruction. Works with edit-capable image models (bfl/flux-kontext-pro, openai/gpt-image-2, …) and image-capable LLMs. Takes https links; links this server returned work too, because it downloads the inputs itself.
upscale_image({ image_url, model?, prompt?, estimate_only? })Makes an image sharper and larger. Uses topaz/wonder-3.5 unless you name another model.
start_video({ model, prompt, image_url?, end_image_url?, reference_urls?, duration?, aspect_ratio?, resolution?, sound?, estimate_only? })Starts a video job and returns a job_id right away: text-to-video, image-to-video, first-to-last frame, or reference-to-video with up to 4 pictures or clips of your characters. resolution (480p, 720p, 1080p, 4k) picks the size and price on Seedance, Grok Imagine Video, Veo and Wan 2.5–2.7. If the model can't make that resolution or length, nothing starts: the reply says what it offers and which models can, with each one's shortest clip and price.
motion_control({ image_url, video_url, prompt?, orientation?, quality?, keep_sound?, estimate_only? })Makes the character in a picture move like the person in a reference video (Kling motion control).
upscale_video({ video_url, resolution?, model?, estimate_only? })Makes a video sharper and larger and cleans up noise (Topaz Proteus by default).
edit_video({ video_url, prompt, estimate_only? })Changes an existing video from an instruction (Grok Imagine Video, up to 720p).
extend_video({ video_url, prompt, duration?, estimate_only? })Continues a video from its last frame (Grok Imagine Video).
estimate_only: trueOn the image and video tools: returns the price from the AI Gateway catalog instead of running. Nothing is generated or charged. Often a range, because resolution or audio is left to the model's defaults; token-priced models (e.g. openai/gpt-image-2, Seedance 2) have no estimate. The provider can bill more than the catalog price: bfl/flux-3-image was once listed at half of what was billed.
get_video({ job_id })For every video tool above: reports whether the job is still generating. Each call waits up to 40 s; after 3 minutes it tells the chat app to stop checking until you ask. When it finishes, the video is saved to your Blob store and you get an expiring link; call it again later for a fresh one.
generate_speech({ model, text, voice?, instructions?, speed?, language?, format? })Turns text into speech (openai/tts-1-hd, google/gemini-3.8-flash-tts, fish-audio/s2-pro, …). The audio comes back inline and as an expiring link.
transcribe({ model, audio_url, timestamps? })Turns speech in an audio or video file (up to 25 MB) into text, optionally with timestamps.
check_credits()Shows the team's AI Gateway credits and what this connector spent in the last 30 days. The spend part needs AI Gateway's usage report, which Vercel offers on paid plans only; on Hobby it says so, and each reply still shows what that call cost.
list_files({ kind?, limit? })Lists the pictures, videos and audio this connector made, newest first, with fresh expiring links.

Inline viewer. In chat apps that support MCP Apps (Claude on the web, desktop and phone), generate_image, edit_image, upscale_image, get_video and list_files show their result right in the conversation: a picture grid, a video player and audio players, with Download, Upscale and Extend. Upscale and Extend ask the chat to run the tool, so nothing is spent behind your back. Other apps get the same pictures and links as plain content. If the Claude desktop app shows "Unable to reach AI Gateway" where the viewer should be after you change the connector URL (for example after rotating the secret), quit it fully (Cmd+Q on a Mac) and open it again.

Keep it safe

  • Your link works like a password that spends money. Anyone who has it can use your AI Gateway credits. Keep it private.
  • Set an AI Gateway budget. Only Vercel's budget limits your total spend.
  • If the link leaks, make a new secret on your setup page, put its fingerprint in Project Settings → Environment Variables and redeploy. The old link stops working at once.
  • Your usage is yours. Anyone can open your setup page, but the numbers only appear for someone who has your secret.
More on security and costs
  • Your connector URL works like a password that spends money. Anyone who has it can use your AI Gateway credits and generate content under your Vercel account.
  • Set an AI Gateway budget. This server caps each call (MAX_VIDEO_SECONDS, MAX_IMAGES_PER_CALL, MAX_SPEECH_CHARACTERS, ALLOWED_MODELS), but only Vercel's budget limits your total spend. Tools that start from your own video (motion_control, upscale_video, edit_video) follow its length, which the per-call caps cannot see.
  • Rotate the secret if the URL leaks. Set a new fingerprint (or MCP_SECRET) and redeploy. The old URL stops working right away, and any unfinished video jobs are abandoned.
  • Optional: rate-limit the endpoint. Guessing is hopeless, but every wrong request still counts toward your project's usage. If your plan includes Vercel Firewall rate limiting, add a rule for paths starting with /mcp/ (for example, by IP). Do not turn on Attack Challenge Mode for it: Claude's and ChatGPT's servers cannot solve the challenge, so your connector would stop working.
  • Files are private, but links are not. Pictures, videos and audio are stored in a private Blob store. Anyone who holds one of the links returned in chat can open that file until the link expires (SIGNED_URL_TTL_HOURS).
  • Usage stats need the secret. POST /api/stats checks it in constant time and answers 404 otherwise. Remembering the secret in a browser lets anyone using that browser see your usage; "Forget" removes it.
  • Logs: this app never logs the secret or request URLs. Vercel's own request logs record request paths, so members of your Vercel team can see the secret there.
  • Generated media is stored exactly as the provider returns it. Watermarks and metadata are never removed.

Reference

Your secret

Your connector link is your deployment's address plus the secret. The setup page builds it in your browser:

https://<your-project>.vercel.app/mcp/<your-secret>

The secret is a random value of at least 32 characters. The Deploy button doesn't ask for it: a fresh copy starts with the endpoint off, and its setup page makes one in your browser and remembers it there, so your link is filled in after the redeploy.

Vercel never gets the secret itself, only its SHA-256 fingerprint as MCP_SECRET_SHA256. A fingerprint can't be turned back into the secret, so anyone who can read your environment variables, or the chat you pasted the setup prompt into, still can't use your connector. The other side of this: Vercel can't show you your secret either. If you lose the browser that holds it (and it isn't in your phone or your chat app's connector settings), make a new one and redeploy.

To do it yourself: make a secret with openssl rand -hex 32, and set MCP_SECRET_SHA256 to the output of printf %s '<your-secret>' | shasum -a 256 (the hex part). For local development a plain MCP_SECRET=<your-secret> is simpler; the fingerprint wins when both are set. Use URL-safe characters only; hex is ideal.

A random 64-character hex secret holds 256 bits: guessing it over the network is not possible in practice, and every wrong guess gets the same 404 as any unknown URL, compared in constant time. Secrets typed by hand are the weak spot, so the endpoint also stays off when the secret has fewer than 8 different characters or repeats one short block (aaaa…, passwordpassword…).

claude.ai custom connectors only support OAuth or no auth, and they can't send custom headers, so the secret goes in the URL path. If no secret is set (or a plain MCP_SECRET is shorter than 32 characters, or the fingerprint isn't 64 hex characters), the MCP endpoint is disabled. A wrong secret gets the same 404 page as any unknown URL.

Configuration
VariableDefaultPurpose
MCP_SECRET_SHA256none (this or MCP_SECRET required)SHA-256 fingerprint (hex) of the secret in the connector URL. Set by the setup page; wins over MCP_SECRET.
MCP_SECRETnoneThe secret itself, at least 32 characters. Simpler for local development.
MAX_VIDEO_SECONDS8Longest video start_video and extend_video accept.
MAX_IMAGES_PER_CALL4Highest n that generate_image and edit_image accept.
MAX_SPEECH_CHARACTERS5000Longest text generate_speech accepts in one call.
ALLOWED_MODELSempty (all models)Comma-separated allowlist of model ids.
SIGNED_URL_TTL_HOURS24How long file links stay valid. The maximum is 168 (7 days).
AI_GATEWAY_API_KEYunsetOptional. Use it for local development. When set, it replaces the OIDC token.

Vercel sets the Blob variables (BLOB_STORE_ID, plus BLOB_READ_WRITE_TOKEN as a fallback) and VERCEL_OIDC_TOKEN automatically when the store is connected. Without a Blob store, text, pictures and voice still work inline; video and file links need one. Create a private Blob store under the project's Storage tab, connect it and redeploy. The setup page links there.

Local development
bash
npm installvercel link && vercel env pull   # pulls MCP_SECRET_SHA256, Blob and a 12-hour OIDC token into .env.local# or put AI_GATEWAY_API_KEY=... and MCP_SECRET=... in .env.localnpm run dev

Test the server with the MCP Inspector:

bash
npx @modelcontextprotocol/inspector@latest

Choose Streamable HTTP and connect to http://localhost:3000/mcp/<MCP_SECRET>.

The same tools also run over stdio, for local MCP clients and for directories that start the server to list its tools (Glama does this). Your deployment does not use it.

bash
npm run build:stdio   # bundles scripts/stdio.ts into dist/stdio.mjsAI_GATEWAY_API_KEY=... MCP_SECRET=... node dist/stdio.mjs

A stdio server is a process you start yourself, so it has no secret check: it spends whatever Gateway key it is given. MCP_SECRET only signs video job ids there. Listing the tools needs no variables at all.

Two development-only addresses preview states you cannot reach without a deployment: /?preview-open shows the page as it looks once setup is done, and /?sample-stats fills the usage with sample numbers.

How it works inside
  • Setup page: / checks the deployment live and guides each step, then hides the guide once every required step is done (a gateway-open cookie, ignored whenever a server check fails). Black and white, drawn in code, with motion that rests finished under reduced motion. /setup redirects there.
  • Usage stats: every call from this server carries AI Gateway tags (ai-gateway-mcp, tool:<name>, client:<app>, the app guessed from its User-Agent). The setup page reads AI Gateway's own spend report filtered by those tags, so there is no database. The report is a paid-plan feature: on Hobby, Vercel answers 403 and the page says so instead (credits still show). Keeping our own log in Blob was ruled out: Hobby includes 2,000 Blob advanced operations a month, and going over blocks Blob for 30 days.
  • Inline viewer: one MCP Apps resource, ui://gateway-mcp/media.html, built from ui/ by scripts/build-ui.mjs (esbuild, before dev, build and typecheck). Its CSP allows https://*.blob.vercel-storage.com for images and media.
  • Stack: Next.js (App Router) and TypeScript. MCP is served over Streamable HTTP using mcp-handler v2, and model calls go through the AI SDK with the AI Gateway provider.
  • Secret check: proxy.ts rejects a wrong secret before routing by rewriting it to the standard 404 page. The route handler then checks the secret again, in constant time.
  • Media in, media out: files you give a tool are downloaded by the server (https only, size-capped), so this server's own private links work as input. Video jobs send theirs as links, since AI Gateway keeps a job's start request small.
  • Video jobs: no database. Each job_id holds the model and the AI Gateway job id, signed with a key derived from the fingerprint (or MCP_SECRET) and only accepted from callers holding the secret, so it can't be forged.

License

MIT

来源：README.md，提交 ebef21f

工具

0
SourceWeft 尚未读取此服务器的工具。

版本历史

1
  1. v0.1.0最新Oct 16, 2026

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