Integration
Connect Nifty to Wikipedia Search API
When New Doc fires in Nifty, 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 Nifty and Wikipedia Search API 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 Nifty can start in Wikipedia Search API
When New Doc in Nifty
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 Nifty and Wikipedia Search API
Triggers and actions 11 triggers · 36 actions
- New Doc
Triggers when a new doc is created.
- New File
Triggers when a new file is uploaded.
- New Message
Triggers when a new message is sent.
- New Milestone
Triggers when a new milestone is created.
- New Portfolio
Triggers when a new portfolio is created.
- New Project
Triggers when a new project is created.
- New Status
Triggers when a new status is created.
- New Subtask
Triggers when a new subtask is created.
- New Tag
Triggers when a new tag is created.
- New Task
Triggers when a new task is created.
- Task Is Completed
Triggers when a task is completed.
- Create Document
Creates a Nifty document in a project, optionally seeding its body from Markdown.
- Create File
creates a file record in a project from text content (or a URL), firing file.created.
- Create Milestone
Creates a milestone (a date-spanning list shown on the project roadmap) in a Nifty project.
- Create Portfolio
Creates a portfolio (a team-level grouping of projects) in Nifty.
- Create Project
Creates a new project.
- Create Status
Creates a status column (Kanban column / list stage) in a Nifty project.
- Create Subtask
Creates a new subtask.
- Create Tag
Creates a tag (called a label in the Nifty API) that can be applied across the workspace to tasks, documents, files and more.
- Create Task
Creates a new task.
- Create Upload URL
Returns a presigned upload URL and storage key for a new file. Upload the bytes to the URL, then pass the key to Create File.
- Get Document
Retrieve a single Nifty document's details (name, project, access type, author, timestamps). The document body is not included.
- Get Message
Retrieve a single Nifty message (chat message or comment) by its ID.
- Get Milestone
Retrieve a single milestone by its id, including its custom-field values.
- Get Project
Retrieve a single Nifty project by its id, including its custom-field values and any related records you ask to expand.
- Get Status
Retrieve a single Nifty status column by its id.
- Get Tag
Retrieves a single tag (Nifty label) by id.
- Send Message
Posts a message in Nifty: into a chat, as a comment on a task, document, file or annotation, as a reply to another message, or as a direct message to a team member.
- 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
Nifty and Wikipedia Search API, answered
What can start an automation from Nifty?
Any of Nifty's 11 triggers in the catalog, including New Doc, New File, New Message and New Milestone. 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 Nifty?
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 Nifty?
Wikipedia Search API has no triggers in the catalog today, so automations start in Nifty. 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 Nifty 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 Nifty 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.