Integration
Connect Doclift PDF to Wikipedia Search API
When New PDF Document Generated fires in Doclift PDF, 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 Doclift PDF and Wikipedia Search API to do together?
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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 Doclift PDF can start in Wikipedia Search API
When New PDF Document Generated in Doclift PDF
then Geosearch (Pages Near Coordinates) in Wikipedia Search API
When New PDF Document Generated in Doclift PDF
then Get Page Categories 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 Doclift PDF and Wikipedia Search API
Triggers and actions 1 trigger · 30 actions
Trigger
New PDF Document GeneratedWebhook trigger for Doclift's async document-generation completion callback (POST .../webhooks/doclift, X-Doclift-Signature: sha256=hmac). Delivery URL is configured manually on the external application in the Doclift dashboard — no register/list/delete API exists. Fires once per document_request (all its documents_generations resolved to success/error), payload includes id, tag, type, timestamp, documents_generations[] (generation_status, file{filename,url,size}).
Action
Add Templatecreate a custom (HTML-body) template: title, description, content, orientation, margins, optional variables_attributes. Server forces category=custom.
Action
Add Variablecreate a variable on a custom template: title (unique, naming pattern), description, field_type (text/checkbox/radio/select/collection, default text), seed_value, allowed_values.
Action
Delete Templateremoves a custom template (scope restricted to category=custom, non-archived, same org).
Action
Get Document Requeststatus and documents_generations detail (signed file url, valid 2 hours) for one document request.
Action
Get Templatefull template detail including variables and content (custom templates); works for any published template of the three categories.
Action
List Document Requestslist document generation requests with id, tag, type, status, documents_generations (each with generation_status and file url).
Action
List Templatesreturns published, non-archived templates (custom/fillable_form/workflow) for the organization: id, title, description.
Action
List Variablesall variables of a custom, non-archived template: id, title, description, field_type, allowed_values (no pagination, no seed_value).
Action
Publish Templatemarks a custom template published (usable for document generation).
Action
Unpublish Templatemarks a custom template unpublished.
Action
Update Variableupdate description/field_type/allowed_values/title of a variable; allowed_values replaces the stored array.
Action
Geosearch (Pages Near Coordinates)Find Wikipedia pages located near a geographic coordinate, within a given radius.
Action
Get Backlinks (What Links Here)Get the list of Wikipedia pages that link TO a given page.
Action
Get Category MembersList the pages and subcategories that are members of a given Wikipedia category.
Action
Get External LinksGet the list of external (off-wiki) URLs referenced on a Wikipedia page.
Action
Get Featured ContentGet Wikipedia's featured content for a date: the featured article, most-read articles, picture of the day, and news, via the REST feed API.
Action
Get Page CategoriesGet the categories a Wikipedia page belongs to.
Action
Get Page Content (Plain Text)Get the full plain-text extract of a Wikipedia page (optionally intro-only) via the MediaWiki Action API.
Action
Get Page CoordinatesGet the geographic coordinates (latitude/longitude) associated with a Wikipedia page.
Action
Get Page HTMLGet the rendered HTML of a Wikipedia page via the REST API.
Action
Get Page ImagesGet the list of image file titles used on a Wikipedia page.
Action
Get Page InfoGet metadata about a Wikipedia page: page ID, last-modified timestamp, length, protection, content model, and full URL.
Action
Get Page LinksGet the list of internal wiki links (outgoing links to other pages) from a Wikipedia page.
Action
Get Page RevisionsGet the revision history of a Wikipedia page: revision IDs, timestamps, editors, and comments.
Action
Get Page SectionsGet the section structure (headings and table of contents) of a Wikipedia page via the parse API.
Action
Get Page SummaryGet a concise summary of a Wikipedia page (extract, thumbnail, description, and canonical URL) via the REST API.
Action
Get Random PagesGet one or more random Wikipedia article titles.
Action
On This DayGet notable historical events, births, deaths, and holidays for a given month and day via the REST feed API.
Action
Search PagesFull-text search of Wikipedia pages. Returns matching page titles, snippets, page IDs, word counts, and timestamps.
Action
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.
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Questions
Doclift PDF and Wikipedia Search API, answered
What can start an automation from Doclift PDF?
Any of Doclift PDF's 1 trigger in the catalog, including New PDF Document Generated. 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 Doclift PDF?
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 Doclift PDF?
Wikipedia Search API has no triggers in the catalog today, so automations start in Doclift PDF. 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 Doclift PDF 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.
Can my AI client use Doclift PDF and Wikipedia Search API 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.