Integration
Connect Google Search Console to GPT Chatbot
When New Daily Search Performance fires in Google Search Console, your agent runs Send Message in GPT Chatbot. 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 GPT Chatbot 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 GPT Chatbot
When New Daily Search Performance in Google Search Console
then Send Message in GPT Chatbot
When New Daily Search Performance in Google Search Console
then Add file source in GPT Chatbot
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 GPT Chatbot
Triggers and actions 1 trigger · 24 actions
Trigger
New Daily Search PerformanceTriggers once per day of search performance data for a property, with that day's clicks, impressions, CTR and position.
Action
Get SitemapReturns the details of one submitted sitemap for a property.
Action
Inspect URLReturns Google's index status for a URL in a property: coverage, last crawl, canonical, mobile usability and rich results.
Action
List SitemapsReturns the sitemaps submitted for a property, with their status, errors and warnings.
Action
List SitesReturns the Search Console properties the connected account can access, with your permission level on each.
Action
Search Analytics QueryReturns search performance rows (clicks, impressions, CTR, position) for a property over a date range, grouped by the dimensions you choose.
Action
Submit SitemapSubmits (or resubmits) a sitemap for a property so Google crawls it.
Action
Add chatbotCreate a chatbot for the authenticated user.
Action
Add file sourceUpload a file as a data source for a chatbot specified by chatbot uuid.
Action
Add sessionCreate a chat session for a chatbot specified by chatbot uuid.
Action
Add URL sourceCreate a URL data source for a chatbot specified by chatbot uuid.
Action
Delete agentDelete a single agent by uuid.
Action
Delete messageDelete a single message by uuid.
Action
Delete sessionDelete a session by its uuid.
Action
Delete sourceDelete a single data source by uuid.
Action
Get chatbotFetch a single chatbot by uuid.
Action
Get sessionFetch a single chatbot session by uuid.
Action
List agentsFetch the list of agents for a chatbot specified by chatbot uuid.
Action
List chatbotsFetch the list of chatbots for the current user.
Action
List messagesFetch the list of messages for a session specified by session uuid.
Action
List sessionsFetch the list of sessions for a chatbot specified by chatbot uuid.
Action
List sourcesFetch the list of data sources for a chatbot specified by chatbot uuid.
Action
Send MessageSend a message to a chatbot and receive an answer.
Action
Update agentUpdate agent metadata based on uuid.
Action
Update chatbotUpdate chatbot metadata by uuid.
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 GPT Chatbot, 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 GPT Chatbot when something happens in Google Search Console?
Any of GPT Chatbot's 18 actions, including Send Message, Update agent, Update chatbot and Add chatbot. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from GPT Chatbot to Google Search Console?
GPT Chatbot has no triggers in the catalog today, so automations start in Google Search Console. If you need the other direction, ask: your agent reads GPT Chatbot's API documentation and adds it.
Do I have to build a connector for Google Search Console or GPT Chatbot?
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 GPT Chatbot 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.