Integration
Connect Wonderchat to Umeå Open Data
When New Chatlog fires in Wonderchat, your agent runs Find records by dataset in Umeå Open Data. 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 Wonderchat and Umeå Open Data 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)Grok
Open grok.com/connectors, choose New Connector, then Custom, and paste the address. Grok signs you in in your browser.
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 Wonderchat can start in Umeå Open Data
When New Chatlog in Wonderchat
then Find records by dataset in Umeå Open Data
When New Chatlog in Wonderchat
then Get record in Umeå Open Data
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 Wonderchat and Umeå Open Data
Triggers and actions 1 trigger · 14 actions
Trigger
New ChatlogTriggers when a new conversation (chatlog) starts on a Wonderchat chatbot.
Action
Add PagesAdds web pages to a Wonderchat chatbot's knowledge base.
Action
Add Tags to ChatlogAdds one or more tags to a Wonderchat chatlog.
Action
Ask QuestionAsks a Wonderchat chatbot a question and returns its answer, the conversation ID and the sources it used.
Action
Delete PagesRemoves web pages from a Wonderchat chatbot's knowledge base.
Action
Delete Tags from ChatlogRemoves one or more tags from a Wonderchat chatlog.
Action
Get MessagesReturns every message in a Wonderchat chatlog, user and bot, with timestamps.
Action
List ChatlogsReturns Wonderchat chatlogs, newest first, with contact details and message transcripts.
Action
Update Chat FeedbackSets a Wonderchat chatlog's feedback to Good or Bad.
Action
Update Chatlog InfoSets contact and lead details (name, email, phone, your own user ID) on a Wonderchat chatlog; fields left blank are not changed.
Action
Update Message FeedbackMarks a single Wonderchat bot message as helpful or not helpful, with an optional comment.
Action
Find records by datasetQuery the records in one dataset, with filtering and sorting.
Action
Get datasetRetrieve metadata and schema information for one dataset by its id.
Action
Get recordRead a single record from a dataset by its record id.
Action
List datasetsList and search the open datasets published in Umeå's catalog.
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
Reviews
What our customers say
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Questions
Wonderchat and Umeå Open Data, answered
What can start an automation from Wonderchat?
Any of Wonderchat's 1 trigger in the catalog, including New Chatlog. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Umeå Open Data when something happens in Wonderchat?
Any of Umeå Open Data's 4 actions, including Find records by dataset, Get dataset, Get record and List datasets. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Umeå Open Data to Wonderchat?
Umeå Open Data has no triggers in the catalog today, so automations start in Wonderchat. If you need the other direction, ask: your agent reads Umeå Open Data's API documentation and adds it.
Do I have to build a connector for Wonderchat or Umeå Open Data?
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 Wonderchat and Umeå Open Data 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.