Integration
Connect Algolia to Google Vertex AI
When Browse Records fires in Algolia, 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 Algolia 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 Algolia can start in Google Vertex AI
When Browse Records in Algolia
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 Algolia and Google Vertex AI
Triggers and actions 1 trigger · 40 actions
- Browse Records
Triggers when a new record appears in an Algolia index, optionally limited to records matching a query or filter.
- Add or Replace Record
Adds a record to an Algolia index, or replaces the existing record with the same object ID.
- Batch Indexing
Adds, updates or deletes several records in one Algolia index with a single request. Returns the affected record IDs and the indexing task ID.
- Batch Multiple Indices
Adds, updates, or deletes records across multiple Algolia indices in a single request.
- Batch Save Query Rules
Creates or replaces several query rules on an Algolia index in one call, optionally clearing the existing rules first.
- Batch Save Synonyms
Creates or replaces a batch of synonyms on an Algolia index.
- Check Task Status
Returns whether an Algolia indexing task on an index has finished (published) or is still pending.
- Clear All Synonyms
Deletes all synonyms from an Algolia index.
- Clear Index (Delete All Records)
Deletes every record from an Algolia index while keeping its settings, synonyms and rules.
- Copy or Move Index
Copies or moves (renames) an Algolia index to a destination index within the same application.
- Delete Index
Deletes an Algolia index together with all its records and settings.
- Delete Query Rule
Deletes a query rule from an Algolia index by its ID.
- Delete Record
Deletes a single record from an Algolia index by its object ID.
- Delete Records by Query
Deletes every record in an Algolia index that matches a filter. The deletion is queued as a task; empty filters are refused.
- Delete Synonym
Deletes a synonym from an Algolia index by its ID.
- Find Query Rule
Returns a single query rule from an Algolia index by its rule ID, including its conditions and consequence.
- Find Record
Returns one record from an Algolia index by its object ID.
- Find Synonym
Finds a synonym in an Algolia index by its ID and returns its type, words and replacements.
- Get Index Settings
Returns the settings configured on an Algolia index, such as searchable attributes, ranking and faceting.
- Get Records (Batch)
Retrieves one or more records by object ID, potentially from different indices, in a single call.
- List Indices
Returns all indices in your Algolia application, with each index's name, record count, size and last-updated time.
- Partial Update Record
Adds new attributes to an Algolia record or updates existing ones, leaving the other attributes unchanged.
- Save Record (Auto Object ID)
Adds a record to an Algolia index with an auto-generated object ID, or replaces the record if the given object ID already exists.
- Save Synonym
Creates a synonym in an Algolia index, or replaces the existing synonym with the same ID.
- Search for Facet Values
Searches the values of a facet attribute in an index and returns the matching facet values with their record counts.
- Search Index
Searches one Algolia index and returns the matching records (hits) with result counts.
- Search Multiple Indices
Runs several search queries against one or more indices in a single request and returns each query's results in the same order.
- Search Synonyms
Searches the synonyms of an Algolia index by text and optional synonym type, returning the matching synonyms and the total match count.
- Update Index Settings
Updates the settings of an Algolia index, such as searchable attributes, faceting, ranking and typo tolerance. Settings you leave blank are not changed.
- 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
Algolia and Google Vertex AI, answered
What can start an automation from Algolia?
Any of Algolia's 1 trigger in the catalog, including Browse Records. 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 Algolia?
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 Algolia?
Google Vertex AI has no triggers in the catalog today, so automations start in Algolia. 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 Algolia 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 Algolia 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.