Integration
Connect Streamtime to Wikipedia Search API
When Company Created fires in Streamtime, 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 Streamtime and Wikipedia Search API to do together?
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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 Streamtime can start in Wikipedia Search API
When Company Created in Streamtime
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 Streamtime and Wikipedia Search API
Triggers and actions 8 triggers · 36 actions
- Company Created
Triggers when a new company is created in Streamtime.
- Company Updated
Triggers when a company in Streamtime is created or any of its details change.
- Job Activity
Triggers when a new activity entry (comment, post or update notification) is added to a Streamtime job.
- Job Comment Created
Triggers when a new comment is posted on a Streamtime job.
- Job Created
Triggers when a new job is created in Streamtime.
- Label Added
Triggers when a label is added to a specific Streamtime record (job, quote, invoice, company, contact, etc.), or when a new master label is created for a label type if no record is chosen.
- Quote Approved
Triggers when a quote is approved in Streamtime.
- Quote Sent
Triggers when a quote is sent to a client in Streamtime.
- Add Label
Adds a label to a job, quote, invoice, logged expense, company, contact, user or job group in Streamtime.
- Create Company
Creates a new company (client or supplier) in Streamtime.
- Create Contact
Creates a new contact under a company in Streamtime.
- Create Expense
Creates a logged expense against a job in Streamtime.
- Create Job Comment
Adds a comment to a Streamtime job's activity feed.
- Create Job Post
Creates a post in a job's activity feed in Streamtime.
- Create Personal ToDo
Creates a personal To Do (a time entry not attached to any job) for a Streamtime user on a given date.
- Find Branch
Finds Streamtime branches whose name or external name matches the given branch name.
- Find Company
Finds companies in Streamtime that match a search filter, such as a company name.
- Find Contact
Searches Streamtime contacts matching a filter and returns the matching contacts.
- Find Expense
Finds logged expenses in Streamtime that match a search filter, such as a supplier, job or date condition.
- Find Invoice
Finds invoices in Streamtime that match a search filter, such as an invoice number, company or status.
- Find Job
Finds jobs that match a search filter, such as a job name or status condition.
- Find Quote
Searches Streamtime quotes matching a filter and returns the matching quotes.
- Find User
Finds users in your Streamtime organisation by email address or display name.
- Get ToDo
Returns a single Streamtime To Do (logged time entry) by its id, including its date, minutes, notes, status and costs.
- List Job Activity Entries
Returns the activity entries (comments, posts and update notifications) on a Streamtime job, optionally limited to one activity type.
- 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.
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Questions
Streamtime and Wikipedia Search API, answered
What can start an automation from Streamtime?
Any of Streamtime's 8 triggers in the catalog, including Company Created, Company Updated, Job Comment Created and Job Created. 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 Streamtime?
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 Streamtime?
Wikipedia Search API has no triggers in the catalog today, so automations start in Streamtime. 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 Streamtime 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.