Integration
Connect Mailparser to Wikibot
When New Email Parsed (One Request Per Email) fires in Mailparser, your agent runs Add data table row in Wikibot. 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 Mailparser and Wikibot 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 Mailparser can start in Wikibot
When New Email Parsed (One Request Per Email) in Mailparser
then Add data table row in Wikibot
When New Email Parsed (One Request Per Email) in Mailparser
then Update data table row in Wikibot
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 Mailparser and Wikibot
Triggers and actions 2 triggers · 11 actions
Trigger
New Email Parsed (One Request Per Email)Triggered instantly when Mailparser finishes parsing an inbound email, with all of that email's parsed data delivered in a single request. In Mailparser, open your inbox and add a Generic Webhook under Integrations/Downstream Webhooks, paste the minted URL, and set Repeating Data Behaviour to "One request per Email". Parsed fields bind as {{ trigger.body.* }}. Use the One Request Per Row trigger instead when you are parsing tabular data and want each row handled as its own run.
Trigger
New Email Parsed (One Request Per Row)Triggered instantly for EACH parsed table row when Mailparser finishes parsing an inbound email — one run per row, for tabular data such as invoice line items or price lists. In Mailparser, open your inbox and add a Generic Webhook under Integrations/Downstream Webhooks, paste the minted URL, and set Repeating Data Behaviour to "One request per row". That row's fields bind as {{ trigger.body.* }}. Use the One Request Per Email trigger instead when you want the whole email's parsed data in a single run.
Action
Add articleCreates a private article in the bot's knowledge base. The article is reindexed automatically.
Action
Add data table rowAdds one or more rows to a Wikibot data table.
Action
Add knowledge baseCreates a knowledge base in Wikibot from a data source URL.
Action
Delete data table rowPermanently deletes one row from a Wikibot data table.
Action
Get articleReturns one knowledge base article, including its title, text and whether it is included in the search index.
Action
List data table rowsReturns the rows of a Wikibot data table, in the order they were added, with each row's column values.
Action
List knowledge basesReturns the knowledge base sources of the bot, with each source's URL and when it was added and last indexed.
Action
Search knowledge baseSearches the bot's knowledge base and returns the matching articles with their ids, titles and content.
Action
Update articleUpdates a private knowledge base article's title and text, or turns its inclusion in the bot's search index on or off.
Action
Update data table rowUpdates the values of selected columns on one row of a Wikibot data table, leaving the other columns unchanged.
Action
Upload documentUploads a PDF or DOCX document into the bot's knowledge base and queues it for indexing.
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
Mailparser and Wikibot, answered
What can start an automation from Mailparser?
Any of Mailparser's 2 triggers in the catalog, including New Email Parsed (One Request Per Email) and New Email Parsed (One Request Per Row). Describe the moment in plain language and your agent picks the right one.
What can your agent do in Wikibot when something happens in Mailparser?
Any of Wikibot's 11 actions, including Update article, Update data table row, Upload document and Add article. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Wikibot to Mailparser?
Wikibot has no triggers in the catalog today, so automations start in Mailparser. If you need the other direction, ask: your agent reads Wikibot's API documentation and adds it.
Do I have to build a connector for Mailparser or Wikibot?
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 Mailparser and Wikibot without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in Wikibot 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.