Integration
Connect Zendesk to Web Metadata & Contact Extractor
When New Messaging Conversation fires in Zendesk, your agent runs Find lead contacts in Web Metadata & Contact Extractor. 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 Zendesk and Web Metadata & Contact Extractor 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 Zendesk can start in Web Metadata & Contact Extractor
When New Messaging Conversation in Zendesk
then Find lead contacts in Web Metadata & Contact Extractor
When New Ticket in Zendesk
then Audit security headers in Web Metadata & Contact Extractor
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 Zendesk and Web Metadata & Contact Extractor
Triggers and actions 3 triggers · 29 actions
Trigger
New Messaging ConversationTriggers when a customer starts a new conversation through Zendesk messaging (the web widget, mobile SDK or a social messaging channel). Each conversation arrives as its Zendesk ticket.
Trigger
New TicketPolling trigger that fires when a new ticket is created.
Trigger
New UserPolling trigger that fires when a new user is created.
Action
Add Comment to TicketAdds a public or private comment to an existing ticket.
Action
Create OrganizationCreates a new organization.
Action
Create TicketCreates a new ticket in Zendesk.
Action
Create UserCreates a new user (end-user or agent).
Action
Delete TicketDeletes a ticket by ID.
Action
Delete UserSoft-deletes a user by ID.
Action
Get Messaging User IDReturns the Zendesk messaging ID for a user, so their messaging conversation can be looked up in Zendesk Messaging.
Action
Get OrganizationRetrieves a single organization by ID.
Action
Get TicketRetrieves a single ticket by ID.
Action
Get UserRetrieves a single user by ID.
Action
List OrganizationsLists organizations in the account.
Action
List Ticket CommentsLists all comments on a ticket.
Action
List TicketsLists tickets in the account.
Action
SearchRuns a Zendesk search query across tickets, users, and organizations.
Action
Search UsersSearches users by query (name, email, etc.).
Action
Update OrganizationUpdates an existing organization by ID.
Action
Update TicketUpdates an existing ticket by ID.
Action
Update UserUpdates an existing user by ID.
Action
Audit security headersGrades a web page's security headers (HSTS, CSP, X-Frame-Options, Referrer Policy and more) and returns a score with a per-header breakdown, optionally including TLS certificate details.
Action
Audit SEORuns a 14-point on-page SEO audit of a web page and returns its score, per-check results, warnings and readability metrics.
Action
Detect tech stackDetects the technologies a web page uses (CMS, frameworks, analytics, payment and hosting), with a confidence score and evidence for each.
Action
Extract linksReturns the hyperlinks found on a web page, classified as internal or external (up to 100), plus any RSS/Atom feeds.
Action
Extract metadataReturns the full set of information found on a web page: SEO and OpenGraph metadata, public contacts, social profiles, detected technologies, product data, SEO and security scores, links and readable text.
Action
Extract metadata in batchReturns a lightweight link preview (title, description, image, favicon) for up to 10 web pages in one call.
Action
Extract schema dataExtracts Schema.org JSON-LD structured data and product details (price, currency, availability, brand) from a web page.
Action
Find lead contactsFinds the public email addresses, phone numbers and social profile links published on a web page.
Action
Get domain intelReturns DNS records (A, AAAA, MX, NS, TXT) and WHOIS registration details such as registrar, creation and expiration dates for a website's domain, without loading the page.
Action
Get link previewReturns a social link preview card for a web page: title, description, image, favicon, site name and language.
Action
Get page as markdownReturns a web page's main article text as clean Markdown, with its title, word count, reading time, a short summary and top keywords.
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
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Questions
Zendesk and Web Metadata & Contact Extractor, answered
What can start an automation from Zendesk?
Any of Zendesk's 3 triggers in the catalog, including New Messaging Conversation, New Ticket and New User. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Web Metadata & Contact Extractor when something happens in Zendesk?
Any of Web Metadata & Contact Extractor's 11 actions, including Audit security headers, Audit SEO, Detect tech stack and Extract links. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Web Metadata & Contact Extractor to Zendesk?
Web Metadata & Contact Extractor has no triggers in the catalog today, so automations start in Zendesk. If you need the other direction, ask: your agent reads Web Metadata & Contact Extractor's API documentation and adds it.
Do I have to build a connector for Zendesk or Web Metadata & Contact Extractor?
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 Zendesk and Web Metadata & Contact Extractor 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.