Integration
Connect Google Search Console to PDF Vector
When New Daily Search Performance fires in Google Search Console, your agent runs Ask About Invoice in PDF Vector. 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 Google Search Console and PDF Vector 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 Google Search Console can start in PDF Vector
When New Daily Search Performance in Google Search Console
then Ask About Invoice in PDF Vector
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 Google Search Console and PDF Vector
Triggers and actions 1 trigger · 15 actions
- New Daily Search Performance
Triggers once per day of search performance data for a property, with that day's clicks, impressions, CTR and position.
- Get Sitemap
Returns the details of one submitted sitemap for a property.
- Inspect URL
Returns Google's index status for a URL in a property: coverage, last crawl, canonical, mobile usability and rich results.
- List Sitemaps
Returns the sitemaps submitted for a property, with their status, errors and warnings.
- List Sites
Returns the Search Console properties the connected account can access, with your permission level on each.
- Search Analytics Query
Returns search performance rows (clicks, impressions, CTR, position) for a property over a date range, grouped by the dimensions you choose.
- Submit Sitemap
Submits (or resubmits) a sitemap for a property so Google crawls it.
- Ask About Document
Answers a question about the content of a document (PDF, Office, image, text and more) using AI, given a public URL or base64 file content.
- Ask About Identity Document
Answers a question about an identity document (passport, driver's license, ID card) supplied by URL or base64 content, using AI.
- Ask About Invoice
Answers a question about an invoice document (PDF, image, Word and more) using AI, provided by URL or base64 content.
- Extract Data From Document
Extracts structured data from a document (PDF, Word, Excel, image and more) according to your instructions and JSON schema.
- Extract Data From Identity Document
Extracts structured data from an identity document (passport, driver's license, ID card) according to a JSON Schema you provide.
- Extract Data From Invoice
Extracts structured data from an invoice (PDF, image or office file) into the shape you describe with a JSON Schema.
- Parse Document
Parses a document (PDF, Word, Excel, PowerPoint, images and more) and returns its content as markdown.
- Parse Identity Document
Parses an identity document (passport, driver's license, ID card) and returns its content as markdown.
- Parse Invoice
Parses an invoice (PDF, image or office document) into markdown text.
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
Google Search Console and PDF Vector, answered
What can start an automation from Google Search Console?
Any of Google Search Console's 1 trigger in the catalog, including New Daily Search Performance. Describe the moment in plain language and your agent picks the right one.
What can your agent do in PDF Vector when something happens in Google Search Console?
Any of PDF Vector's 9 actions, including Ask About Document, Ask About Identity Document, Ask About Invoice and Extract Data From Document. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from PDF Vector to Google Search Console?
PDF Vector has no triggers in the catalog today, so automations start in Google Search Console. If you need the other direction, ask: your agent reads PDF Vector's API documentation and adds it.
Do I have to build a connector for Google Search Console or PDF Vector?
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 Google Search Console and PDF Vector 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.