--- title: "Connect DecisionRules to Wikipedia Search API - APIANT.ai" description: "When \"New Rules\" fires in DecisionRules, your agent runs \"Geosearch (Pages Near Coordinates)\" in Wikipedia Search API." canonical: "https://apiant.ai/connect/decisionrules-to-wikipedia-search-api" --- # Connect DecisionRules to Wikipedia Search API When **New Rules** fires in [DecisionRules](https://apiant.ai/connections/decisionrules), your agent runs **Geosearch (Pages Near Coordinates)** in [Wikipedia Search API](https://apiant.ai/connections/wikipedia-search-api). Describe the whole flow and it is built, tested on every scenario and kept running. DecisionRules **1** trigger DecisionRules **10** actions Wikipedia Search API **19** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want DecisionRules and Wikipedia Search API to do together? Give your AI client this address. `https://mcp.apiant.ai` One 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.ai` Start Claude Code there, approve the server, and sign in in the browser page it opens. [Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### Zed Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server. [Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) ### 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)](https://apiant.ai/docs/mcp) Example flows ## What DecisionRules can start in Wikipedia Search API - When **New Rules** in DecisionRules then **Geosearch (Pages Near Coordinates)** in Wikipedia Search API - When **New Rules** in DecisionRules 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 DecisionRules and Wikipedia Search API ## Triggers and actions 1 trigger · 29 actions - Trigger **New Rules** Fires once for each new rule or rule flow added to the DecisionRules space. - Action **Add folder** Create a folder under a node. - Action **Add rule** Create a rule in a space. - Action **Add rule version** Create a new version of a rule. - Action **Add tags to rule** Add tags to a rule. - Action **Delete rule** Delete a rule or rule version. - Action **Get rule** Gets the latest version of a rule by its ID or alias, regardless of publication status. - Action **List folders** Get the root folder tree. - Action **List rules** List rules in a space. - Action **Update rule** Update a rule version. - Action **Update rule status** Publish/pending/archive a rule version. - 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 Members** List the pages and subcategories that are members of a given Wikipedia category. - Action **Get External Links** Get the list of external (off-wiki) URLs referenced on a Wikipedia page. - Action **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. - Action **Get Page Categories** Get 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 Coordinates** Get the geographic coordinates (latitude/longitude) associated with a Wikipedia page. - Action **Get Page HTML** Get the rendered HTML of a Wikipedia page via the REST API. - Action **Get Page Images** Get the list of image file titles used on a Wikipedia page. - Action **Get Page Info** Get metadata about a Wikipedia page: page ID, last-modified timestamp, length, protection, content model, and full URL. - Action **Get Page Links** Get the list of internal wiki links (outgoing links to other pages) from a Wikipedia page. - Action **Get Page Revisions** Get the revision history of a Wikipedia page: revision IDs, timestamps, editors, and comments. - Action **Get Page Sections** Get the section structure (headings and table of contents) of a Wikipedia page via the parse API. - Action **Get Page Summary** Get a concise summary of a Wikipedia page (extract, thumbnail, description, and canonical URL) via the REST API. - Action **Get Random Pages** Get one or more random Wikipedia article titles. - Action **On This Day** Get notable historical events, births, deaths, and holidays for a given month and day via the REST feed API. - Action **Search Pages** Full-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. ## Each app on its own - [ **DecisionRules** DecisionRules is a no-code business rule engine that lets you automate and manage complex decision logic...](https://apiant.ai/connections/decisionrules) - [ **Wikipedia Search API** Search and read Wikipedia content: full-text and title search, page summaries and full extracts, page...](https://apiant.ai/connections/wikipedia-search-api) Reviews ## What our customers say ## More from DecisionRules - [ **DecisionRules to HubSpot** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/decisionrules-to-hubspot) - [ **DecisionRules to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/decisionrules-to-salesforce) - [ **DecisionRules to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/decisionrules-to-slack) - [ **DecisionRules to Google Sheets** Google Sheets](https://apiant.ai/connect/decisionrules-to-google-sheets) - [ **DecisionRules to Gmail** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/decisionrules-to-gmail) - [ **DecisionRules to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/decisionrules-to-google-calendar) ## More into Wikipedia Search API - [ **HubSpot to Wikipedia Search API** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-wikipedia-search-api) - [ **Salesforce to Wikipedia Search API** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-wikipedia-search-api) - [ **Slack to Wikipedia Search API** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-wikipedia-search-api) - [ **Google Sheets to Wikipedia Search API** Google Sheets](https://apiant.ai/connect/google-sheets-to-wikipedia-search-api) - [ **Gmail to Wikipedia Search API** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-wikipedia-search-api) - [ **Google Calendar to Wikipedia Search API** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-wikipedia-search-api) Questions ## DecisionRules and Wikipedia Search API, answered ### ### What can start an automation from DecisionRules? Any of DecisionRules's 1 trigger in the catalog, including New Rules. 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 DecisionRules? 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 DecisionRules? Wikipedia Search API has no triggers in the catalog today, so automations start in DecisionRules. 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 DecisionRules 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 DecisionRules 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.