The full upstream README, mirrored here for reference. Install config, tool schemas, adoption signals, and an original overview live on the InstantClips listing page.
InstantClips turns an e-commerce product into short-form vertical video for TikTok, Instagram Reels and Stories. It runs a hosted MCP server, so Claude Code, Codex, Cursor, VS Code, the Claude app, ChatGPT or any other MCP client can do what the web app does: import a product, draft the plan, and generate the video.
This is not a text-to-video generator. InstantClips reads the product page — photos, price, details — and builds the ad from what is actually there. The plan is written first and shown to you; the video follows the plan. That is why it is cheap enough to run across a catalogue, and why the result is the product you sell rather than a guess at it.
Free to start: the welcome credits cover the first video, and there is no card to enter. After that, one-time credit packs, or an Agency membership for anyone running several brands. See pricing.
The product server stays hosted. This repository contains its connection guide, registry metadata, example HTTP client and a small open-source stdio adapter for clients that cannot connect to a remote server directly. The adapter answers initialization, ping and tool discovery from a generated snapshot, then sends authenticated tool calls to the hosted endpoint. The hosted server remains the source of truth; the product implementation is not duplicated here.
| Endpoint | https://app.instantclips.ai/mcp |
| Transport | Streamable HTTP, stateless |
| Method | POST, JSON-RPC 2.0 |
| Auth | Sign in when your client asks (OAuth 2.1), or Authorization: Bearer <token> for callers with no browser |
Paste one address into your assistant and sign in when it asks. That is the whole setup. The first time it calls, the server sends you to sign in to InstantClips and approve the assistant; there are no keys to copy. Every assistant you approve is listed under Authorized apps in settings, where you can disconnect it.
The connection is to your own account: same brands, products, credits and plan limits as the web app. Signing in creates an account if you do not have one, with credits for the first video.
Opening the endpoint in a browser returns the setup page rather than a protocol error, with one-click install buttons for Cursor and VS Code.
Connect to the hosted endpoint directly whenever your client supports Streamable HTTP; it takes you through sign-in on first use. Use a token and the stdio adapter (under "No browser?" below) only for scripts and automated runners that cannot open a sign-in page.
Then run /mcp inside Claude Code and choose InstantClips to sign in.
Add to ~/.codex/config.toml, which covers the CLI, the app and the IDE extension together:
Then run codex mcp login instantclips to sign in.
One-click install buttons are on the setup page. They open the app, add InstantClips, and sign you in on first use.
Claude app: add a custom connector with this address and sign in when it asks. ChatGPT on the web: turn on Developer mode under Settings, Apps, Advanced, then add the address as a connector; on a Business or Enterprise workspace an admin publishes it as an app for everyone instead. The ChatGPT desktop app takes the same address under Settings, MCP servers, and shares it with Codex.
OpenClaw, Hermes, or an agent you wrote yourself: point it at the address over Streamable HTTP. The server announces its sign-in flow the standard way, so a client that follows the spec needs nothing else. Anything that cannot open a sign-in page uses a token instead, below.
Scripts, CI jobs and agents that cannot open a sign-in page authenticate with a long-lived token instead. Mint one at app.instantclips.ai/settings#ai-access. It gives full access to your account, so keep it out of anything you commit.
With a token, the same clients look like this:
To keep the token out of the Codex file, swap the header for bearer_token_env_var = "INSTANTCLIPS_TOKEN"
and export it in your shell instead. The Claude app takes a token as a request header on the
connector (request headers are still in beta); ChatGPT connectors sign in through the sign-in flow
rather than a pasted key. Any other client sends an Authorization: Bearer header. Nothing on the
wire is InstantClips-specific.
The instantclips-mcp npm package is a thin stdio-to-HTTPS adapter. It serves initialization and
tool discovery locally for a fast, credential-free cold start, then reads the token from the
environment and sends tool calls to InstantClips:
For an automated connectivity check, including the live tool names:
The token is accepted only through INSTANTCLIPS_TOKEN, never as a command-line argument, so it
does not appear in the process list. It is required for tool calls, but not for initialize,
ping, or tools/list. Node.js 20 or newer is required.
Photos on this machine: the adapter can upload them itself, so a video can be made from files
that never left your laptop. Through the adapter, create_product_from_images takes image_paths
(paths to the files, up to 9, 8 MB each) in place of image_urls, and update_product takes
add_image_paths. The files are packaged and posted straight to InstantClips as the product's
photos — nothing is downloaded from anywhere. Drag the files into a client that hands the
assistant their paths (Claude Code, Cursor, VS Code, terminal agents) and say what you want made.
Five to begin with. Swap in a link or a product name.
The workflow, in order:
import_product_from_url for a store page, or create_product_from_images when
there is no page to read.get_product until the import and the plan have finished.update_video_direction edits it, redraft_video_direction asks
for another angle.generate_video, passing expected_credit_cost: the cost the user was told, as
get_product reported it. A mismatch is refused without charging.get_video for the finished MP4 and a public share link.Another video for the same product is the same flow on that product: editing or redrafting opens the
next video's draft, and generate_video with no draft renders another take of the last plan. A
generated video itself cannot be changed. Every get_product response carries next_step: what to
do now.
Brands work the same way: list_brands, create_brand, set_product_brand. Every video is
drafted in a brand's voice, so an import whose storefront matches no existing brand stops and asks
rather than guessing.
Each tool's exact parameters are published by the hosted server. The generated
manifest/instantclips-mcp.json snapshot lets stdio clients and
registries inspect those same schemas without a credential. Maintainers refresh it with
INSTANTCLIPS_TOKEN="..." npm run sync:manifest; npm run check:manifest fails when the committed
snapshot differs from the live server. Run python example.py tools below when you specifically
want to print the live schemas over HTTP.
Importing a product, drafting the plan and editing it are all free. generate_video is the
only tool that spends credits, and it requires your explicit go-ahead — the tools report the cost
first, and generate_video takes that number back as expected_credit_cost, refusing a launch whose
cost has changed. An agent cannot quietly run up a bill. See pricing.
A dependency-free MCP client — Python 3.9+, standard library only, no pip install. It
authenticates with a token, since a script has no browser to sign in with.
tools is the one to run first: it prints the real parameter names and types for every tool, which
is what you need before scripting the workflow above.
server.json is this server's entry in the official MCP registry,
which the other directories ingest from. One ai.instantclips/instantclips entry carries both the
hosted endpoint in remotes and the stdio adapter in packages, so a host can choose the transport
it supports without creating two identities for the same tool surface.
The npm package's mcpName must exactly match that registry name. The repository link points to the
open-source adapter; the hosted product implementation is not in this repository.
The ai.instantclips namespace is the reverse-DNS of the domain, which requires publishing under
DNS or HTTP domain auth rather than GitHub auth. Authenticating with GitHub instead would force the
entry into io.github.instantstudioai/... and give up the branded namespace.
Publish the npm package first, then re-publish this same registry entry with
mcp-publisher publish after bumping its version. Domain authentication keeps the branded
ai.instantclips namespace; do not replace it with an io.github.* name. The signing key stays out
of the repository — .gitignore covers *.pem, and a committed private key is a published one.
Log in right before publishing — the registry token expires within the hour — and the domain is
verified over HTTP, not DNS: instantclips.ai/.well-known/mcp-registry-auth on the marketing site
serves this key's public half (v=MCPv1; k=ed25519; p=…), and there is no TXT record, so
login dns fails with "no MCP public key found".
test/shim.test.js pins the snapshot's server version and server.json's version; a release
moves both.
glama.json is the separate, Glama-specific file that claims the listing there. A server under an
organisation rather than a personal account can only be claimed with that file present.
It carries ownership only. In Glama's Dockerfile form, use build steps
["npm install --omit=dev"], CMD arguments ["node", "./bin/instantclips-mcp.js"], and any dummy
value for the required INSTANTCLIPS_TOKEN placeholder. Glama's initialization and tool-quality
checks use the bundled manifest and never transmit that placeholder upstream. Do not put a real
account token into a third-party build sandbox.
MIT — see LICENSE. The license covers this repository's contents; use of the hosted service is governed by the Terms of Service.