Integration
Connect CloudConvert to Wikipedia Search API
When Job Failed fires in CloudConvert, your agent runs Geosearch (Pages Near Coordinates) in Wikipedia Search API. 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 CloudConvert and Wikipedia Search API to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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 CloudConvert can start in Wikipedia Search API
When Job Failed in CloudConvert
then Geosearch (Pages Near Coordinates) in Wikipedia Search API
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 CloudConvert and Wikipedia Search API
Triggers and actions 2 triggers · 23 actions
- Job Failed
Triggers when a job failed.
- Job Finished
Triggers when a job finished.
- Capture a Website
Creates job to capture a website as PDF or create a website screenshot as JPG or PNG.
- Convert a File
Creates job to convert a file.
- Get file metadata
Extract metadata (e.g. page count, dimensions, duration) from a file (metadata operation task).
- Get job
Look up the status and results of a conversion job by ID.
- Geosearch (Pages Near Coordinates)
Find Wikipedia pages located near a geographic coordinate, within a given radius.
- Get Backlinks (What Links Here)
Get the list of Wikipedia pages that link TO a given page.
- Get Category Members
List the pages and subcategories that are members of a given Wikipedia category.
- Get External Links
Get the list of external (off-wiki) URLs referenced on a Wikipedia page.
- Get Featured Content
Get Wikipedia's featured content for a date: the featured article, most-read articles, picture of the day, and news, via the REST feed API.
- Get Page Categories
Get the categories a Wikipedia page belongs to.
- Get Page Content (Plain Text)
Get the full plain-text extract of a Wikipedia page (optionally intro-only) via the MediaWiki Action API.
- Get Page Coordinates
Get the geographic coordinates (latitude/longitude) associated with a Wikipedia page.
- Get Page HTML
Get the rendered HTML of a Wikipedia page via the REST API.
- Get Page Images
Get the list of image file titles used on a Wikipedia page.
- Get Page Info
Get metadata about a Wikipedia page: page ID, last-modified timestamp, length, protection, content model, and full URL.
- Get Page Links
Get the list of internal wiki links (outgoing links to other pages) from a Wikipedia page.
- Get Page Revisions
Get the revision history of a Wikipedia page: revision IDs, timestamps, editors, and comments.
- Get Page Sections
Get the section structure (headings and table of contents) of a Wikipedia page via the parse API.
- Get Page Summary
Get a concise summary of a Wikipedia page (extract, thumbnail, description, and canonical URL) via the REST API.
- Get Random Pages
Get one or more random Wikipedia article titles.
- On This Day
Get notable historical events, births, deaths, and holidays for a given month and day via the REST feed API.
- Search Pages
Full-text search of Wikipedia pages. Returns matching page titles, snippets, page IDs, word counts, and timestamps.
- Search Titles (Autocomplete)
Prefix/autocomplete search over page titles using the OpenSearch protocol. Returns matching titles, descriptions, and URLs.
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
CloudConvert and Wikipedia Search API, answered
What can start an automation from CloudConvert?
Any of CloudConvert's 2 triggers in the catalog, including Job Failed and Job Finished. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Wikipedia Search API when something happens in CloudConvert?
Any of Wikipedia Search API's 19 actions, including Geosearch (Pages Near Coordinates), Get Backlinks (What Links Here), Get Category Members and Get External Links. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Wikipedia Search API to CloudConvert?
Wikipedia Search API has no triggers in the catalog today, so automations start in CloudConvert. If you need the other direction, ask: your agent reads Wikipedia Search API's API documentation and adds it.
Do I have to build a connector for CloudConvert or Wikipedia Search API?
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.
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.