Integration
Connect Pcloud to DocsBot AI
When New file fires in Pcloud, your agent runs Add lead in DocsBot AI. 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 Pcloud and DocsBot AI to do together?
Ask the assistant
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 Pcloud can start in DocsBot AI
When New file in Pcloud
then Add lead in DocsBot AI
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 Pcloud and DocsBot AI
Triggers and actions 1 trigger · 26 actions
- New file
Triggers when a new file appears in the chosen pCloud folder.
- Add folder
Creates a new folder in pCloud, inside a parent folder or at a given path.
- Add public link for file
Creates a public link to a file in pCloud and returns the link and its code.
- Copy file
Copies a file to another folder or path in your pCloud drive and returns the new file's details.
- Delete file
Deletes a file from pCloud, identified by its file id or path.
- Delete folder
Deletes an empty folder in pCloud by its id or path and returns the deleted folder's details.
- Get file
Returns the details of a file in pCloud, such as its name, path, size and content type.
- Get file download link
Returns a temporary download link for a pCloud file, along with when the link expires.
- Get user info
Returns the connected pCloud user's account details: email, verification and premium status, language, and storage quota usage.
- List folder contents
Returns the files and subfolders inside a pCloud folder, optionally the whole tree.
- List public links
Returns all of the current user's public links to files and folders, with download and traffic counts.
- Update file
Renames a file and/or moves it to another folder in pCloud. Returns the updated file's details.
- Update folder
Renames and/or moves a folder in pCloud and returns the updated folder's details.
- Upload file
Uploads a file from a URL into a pCloud folder and returns the new file's details.
- Add bot
Creates a new DocsBot bot in a team, optionally copying sources from an existing bot.
- Add lead
Captures or updates a lead for a DocsBot conversation, merging the supplied contact details (email, name, company and so on) into the lead record.
- Add source
Creates a new training source (URL, sitemap, document, Q&A and more) on a DocsBot bot.
- Ask Question (Legacy)
Asks a DocsBot bot a question using the legacy Chat API and returns the answer, its sources and the updated chat history.
- Chat Agent Message (Recommended)
Sends a message to a DocsBot bot in a stateful conversation and returns the agent's answer, sources and conversation history.
- Create Web Source
Adds a web-based training source (a page URL, sitemap, RSS feed or YouTube video) to a DocsBot bot and returns the created source.
- Delete bot
Permanently deletes a bot from a DocsBot team.
- Delete lead
Deletes one captured lead record from a DocsBot bot.
- Delete source
Deletes a training source from a DocsBot bot. The source may still appear in chat answers for a few minutes afterwards.
- Get bot
Returns one DocsBot bot with its settings, model, status and source counts.
- List bots
Returns the bots in a DocsBot team, optionally filtered by text or privacy and sorted.
- Semantic Search
Searches a bot's trained content and returns the most relevant source chunks for a natural-language query.
- Update bot
Updates the settings of an existing DocsBot bot, such as its name, description, prompt, model, privacy and widget appearance. Only the fields you fill in are changed.
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
Pcloud and DocsBot AI, answered
What can start an automation from Pcloud?
Any of Pcloud's 1 trigger in the catalog, including New file. Describe the moment in plain language and your agent picks the right one.
What can your agent do in DocsBot AI when something happens in Pcloud?
Any of DocsBot AI's 13 actions, including Create Web Source, Update bot, Add bot and Add lead. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from DocsBot AI to Pcloud?
DocsBot AI has no triggers in the catalog today, so automations start in Pcloud. If you need the other direction, ask: your agent reads DocsBot AI's API documentation and adds it.
Do I have to build a connector for Pcloud or DocsBot AI?
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.