Integration
Connect Trustpilot to Json2Video
When New Product Review fires in Trustpilot, your agent runs Add media in Json2Video. Describe the whole flow and it is built, tested on every scenario and kept running.
What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.
Build solutions, not workarounds.
What do you want Trustpilot and Json2Video to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiOne connection does both: ask your client to act in an app once, or have it build an automation that keeps running. Any client that takes a remote MCP server. Nothing to install. Create your free account, then sign in once in your browser.
Set it up in your client
Claude Code
Run this in the directory you want to work in.
claude mcp add --transport http -s project apiant-ai https://mcp.apiant.aiStart Claude Code there, approve the server, and sign in in the browser page it opens.
Claude Code guide (opens in a new tab)Claude, web and desktop
Open Customize, then Connectors, then Add custom connector, and paste the address. On Team and Enterprise an owner adds it first.
Setup guide (opens in a new tab)Cursor
Add the address to your MCP configuration as a server URL. Cursor signs you in in your browser.
Setup guide (opens in a new tab)Zed
Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.
Setup guide (opens in a new tab)Codex and the ChatGPT desktop app
Open Settings, then MCP servers, then Add server, and choose Streamable HTTP. From the terminal, Codex takes the address with its own add command and then signs you in.
Setup guide (opens in a new tab)Any other MCP client
Paste the address where the client asks for a remote MCP server URL, and name the server apiant-ai where it lets you. APIANT's skills reach the client over the same connection.
Setup guide (opens in a new tab)Example flows
What Trustpilot can start in Json2Video
When New Product Review in Trustpilot
then Add media in Json2Video
Starting points drawn from the triggers and actions in the catalog today. Describe the flow you need, at any depth, and your agent builds it and tests every scenario before it ships.
Everything your agent can do with Trustpilot and Json2Video
Triggers and actions 2 triggers · 25 actions
- New Product Review
Triggers when a customer writes a new product review.
- New Service Review
Triggers when a customer writes a new service review of your business.
- Add Review Tags
Adds tags to a service review, keeping its existing tags.
- Create Invitation
Sends a customer an email invitation to review your business on Trustpilot.
- Create Product Review Invitation Link
Creates a link that asks a customer to review the products they bought.
- Delete Invitation Data
Deletes stored invitation data for given customers, or everything older than a date, for privacy requests.
- Delete Review Reply
Deletes your reply to a service review.
- Find Business Unit
Finds a business unit by its domain, returning its ID, TrustScore and review count.
- Get Business Unit
Returns a business unit's public profile: its name, website, TrustScore and review count.
- Get Product Review
Returns one product review.
- Get Product Reviews Summary
Returns the average star rating and review counts for a product.
- Get Review Tags
Returns the tags on a service review.
- Get Service Review
Returns one service review, including private details such as the reviewer email and reference ID.
- List Invitation Templates
Returns the invitation email templates of a business unit.
- List Product Reviews
Returns the product reviews of a business unit, filtered by SKU, language or state.
- List Products
Returns the products in your Trustpilot product catalog.
- List Service Reviews
Returns the service reviews of a business unit, filtered by stars, language, date, tag or reply state.
- Remove Review Tag
Removes one tag from a service review.
- Reply to Review
Posts your public reply to a service review, or replaces the existing one.
- Add media
Upload a media file to the account.
- Add movie
Submit a video render job.
- Delete media
Delete a media file.
- Delete movie
Delete a rendered movie.
- Get movie
Get render status and result URL of a movie.
- List library templates
List public template library entries.
- List media
List account-owned media assets.
- Update media
Move/rename a media file.
No trigger or action matches that. Ask your agent to add it: it reads the API documentation and builds what you describe.
Each app on its own
Reviews
What our customers say
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Questions
Trustpilot and Json2Video, answered
What can start an automation from Trustpilot?
Any of Trustpilot's 2 triggers in the catalog, including New Product Review and New Service Review. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Json2Video when something happens in Trustpilot?
Any of Json2Video's 8 actions, including Update media, Add media, Add movie and Get movie. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Json2Video to Trustpilot?
Json2Video has no triggers in the catalog today, so automations start in Trustpilot. If you need the other direction, ask: your agent reads Json2Video's API documentation and adds it.
Do I have to build a connector for Trustpilot or Json2Video?
No. Both are in the catalog with their triggers and actions. You describe the automation; your agent builds it, tests every scenario and keeps it running.
Can my AI client use Trustpilot and Json2Video without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in either app once and it runs that action on the spot. Ask for an automation and your agent builds it, tests every scenario and keeps it running. One connection covers both.
What happens when something fails?
Your agent works that out for you. It plans the failure paths along with the happy path, then tests every scenario before it ships.
Is there a free plan?
Yes. Every plan includes the agent, including free, and building from your own AI client spends no assistant credits.