Integration
Connect Transifex to Google Vertex AI
When Localization Activity Completed fires in Transifex, your agent runs Analyze Document in Google Vertex AI. 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 Transifex and Google Vertex AI 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 Transifex can start in Google Vertex AI
When Localization Activity Completed in Transifex
then Analyze Document in Google Vertex AI
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 Transifex and Google Vertex AI
Triggers and actions 1 trigger · 37 actions
- Localization Activity Completed
Triggers when localization activity completes on a Transifex project, such as a language being fully translated, reviewed or proofread.
- Add project
Creates a new Transifex project in an organization with the given source language.
- Add resource
Creates a new, empty resource in a Transifex project with the chosen file format.
- Add resource string comment
Creates a comment or issue on a Transifex resource string for a given language.
- Add task
Creates a translation task in a Transifex project for the chosen languages and source strings.
- Delete project
Permanently deletes a Transifex project.
- Delete resource
Deletes a resource (source file) from a Transifex project.
- Download File
Downloads the translated file of a Transifex resource for one language, waiting for Transifex to prepare it.
- Get project
Returns the details of a Transifex project, including its name, slug, settings and related source language, organization and team.
- Get resource
Returns the details of a Transifex resource, including its name, slug, priority, categories and string/word counts.
- Get resource string
Returns the details of a single resource string in Transifex, including its key, source text, tags and context.
- Get resource translation
Returns one resource translation: the translated text of a source string in a target language, with its review and proofread status.
- Get task
Returns a single Transifex task, including its name, status, priority, due date and project.
- List languages
Returns the languages Transifex supports, optionally narrowed to specific language codes.
- List projects
Returns the projects that belong to a Transifex organization, optionally filtered by slug or name.
- List resources
Returns the resources (source files) in a Transifex project, optionally filtered by slug or name.
- List resource string comments
Returns the comments and issues left on source strings in a Transifex organization, optionally narrowed by project, resource, string, author, status, priority or date.
- List resource strings
Returns the source strings of a Transifex resource, optionally filtered by key, tags or modification date.
- List resource translations
Returns the translations of a resource's strings in one target language, with optional filters by status, translator, origin, tags and dates.
- List tasks
Returns the tasks in a Transifex organization, optionally filtered by project, name, status, assignee, creator, dates or language.
- List teams
Returns the teams that belong to a Transifex organization, optionally filtered by team slug or name.
- Update project
Updates a Transifex project's name, description, URLs, license, visibility, tags and fill-up settings.
- Update resource string
Updates a source string in a Transifex resource: its text, tags, character limit or translator instructions.
- Update resource translation
Updates the translated text of a resource string in one target language, and/or marks that translation as reviewed or proofread.
- Update task
Updates a Transifex task: change its name, description, priority or due dates, mark it completed, reopen it, or toggle exclusive editing.
- Upload File
Uploads a new source file for a Transifex resource and returns the upload job with its status.
- Analyze Document
Analyzes a document (PDF, image, or text file) using Gemini Vision to extract insights, summaries, or structured data.
- Analyze Text Sentiment
Analyzes text for positive or negative sentiment.
- Classify Text
Classify some text from amongst a list of categories.
- Conversation
Sends a chat message, optionally storing messages as you go.
- Count Tokens
Returns how many tokens a prompt uses for a Gemini model on Vertex AI.
- Generate Code
Generates, explains, refactors, debugs, or converts code using AI. Supports multiple programming languages.
- Generate Embeddings
Generates vector embeddings for text. Useful for semantic search, RAG, and similarity comparisons.
- Generate Image
Generates an image from a prompt.
- Send Prompt
Sends a prompt and generates a completion.
- Summarize Text
Summarizes text.
- Translate Text
Translates text between languages using AI with support for different tones and styles.
- Write an Email
Writes the content of an email based on your provided prompt for use in a subsequent step.
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
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Questions
Transifex and Google Vertex AI, answered
What can start an automation from Transifex?
Any of Transifex's 1 trigger in the catalog, including Localization Activity Completed. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Google Vertex AI when something happens in Transifex?
Any of Google Vertex AI's 12 actions, including Send Prompt, Analyze Document, Analyze Text Sentiment and Classify Text. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Google Vertex AI to Transifex?
Google Vertex AI has no triggers in the catalog today, so automations start in Transifex. If you need the other direction, ask: your agent reads Google Vertex AI's API documentation and adds it.
Do I have to build a connector for Transifex or Google Vertex AI?
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 Transifex and Google Vertex AI 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.