Integration
Connect Uploadcare to GPT Chatbot
When something happens in Uploadcare, your agent does the next thing in GPT Chatbot. Describe it 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 Uploadcare and GPT Chatbot 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 Uploadcare can start in GPT Chatbot
When New File Uploaded in Uploadcare
then Add file source in GPT Chatbot
When New File Uploaded in Uploadcare
then Add chatbot in GPT Chatbot
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 Uploadcare and GPT Chatbot
Triggers and actions 1 trigger · 33 actions
Trigger
New File UploadedTriggers when a new file is uploaded.
Action
Add file tags/files/{uuid}/tags/ (add mode) — add tags to a file for organization/AI auto-tagging.
Action
Add group/groups/ (Upload API) — create a file group from a set of uploaded file UUIDs.
Action
Convert documentconvert a document/image to another format (e.g. PDF, DOCX to images).
Action
Convert videotranscode/thumbnail a video file into another format.
Action
Delete filedelete a file.
Action
Delete groupdelete a file group (does not delete member files).
Action
Find files/files/ with query params — search/filter uploaded files by criteria (used with removed/stored/uploaded_range filters).
Action
Get filefile info: metadata, size, mime type, URLs.
Action
Get file metadataarbitrary key-value metadata attached to a file.
Action
Get groupfile group info: files list, creation date, storage flag.
Action
List filesreturn paginated list of uploaded files, with filters (stored, removed, ordering).
Action
List groupspaginated list of file groups.
Action
Store filemark an uploaded file as permanently stored.
Action
Update file metadataset/update a metadata key's value on a file.
Action
Upload FileUpload a new file into your project.
Action
Add chatbotCreate a chatbot for the authenticated user.
Action
Add file sourceUpload a file as a data source for a chatbot specified by chatbot uuid.
Action
Add sessionCreate a chat session for a chatbot specified by chatbot uuid.
Action
Add URL sourceCreate a URL data source for a chatbot specified by chatbot uuid.
Action
Delete agentDelete a single agent by uuid.
Action
Delete messageDelete a single message by uuid.
Action
Delete sessionDelete a session by its uuid.
Action
Delete sourceDelete a single data source by uuid.
Action
Get chatbotFetch a single chatbot by uuid.
Action
Get sessionFetch a single chatbot session by uuid.
Action
List agentsFetch the list of agents for a chatbot specified by chatbot uuid.
Action
List chatbotsFetch the list of chatbots for the current user.
Action
List messagesFetch the list of messages for a session specified by session uuid.
Action
List sessionsFetch the list of sessions for a chatbot specified by chatbot uuid.
Action
List sourcesFetch the list of data sources for a chatbot specified by chatbot uuid.
Action
Send MessageSend a message to a chatbot and receive an answer.
Action
Update agentUpdate agent metadata based on uuid.
Action
Update chatbotUpdate chatbot metadata by uuid.
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
Uploadcare and GPT Chatbot, answered
What can start an automation from Uploadcare?
Any of Uploadcare's 1 trigger in the catalog, including New File Uploaded. Describe the moment in plain language and your agent picks the right one.
What can your agent do in GPT Chatbot when something happens in Uploadcare?
Any of GPT Chatbot's 18 actions, including Send Message, Update agent, Update chatbot and Add chatbot. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from GPT Chatbot to Uploadcare?
GPT Chatbot has no triggers in the catalog today, so automations start in Uploadcare. If you need the other direction, ask: your agent reads GPT Chatbot's API documentation and adds it.
Do I have to build a connector for Uploadcare or GPT Chatbot?
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.