Integration
Connect Climbo 2.0 and OpenAI
When New Charge fires in Climbo 2.0, your agent runs Create message in OpenAI, or New batch in OpenAI to Add contact in Climbo 2.0. 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 Climbo 2.0 and OpenAI 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 Climbo 2.0 and OpenAI can do together
From Climbo 2.0 to OpenAI
When New Charge in Climbo 2.0
then Create message in OpenAI
When New Client in Climbo 2.0
then Create assistant in OpenAI
From OpenAI to Climbo 2.0
When New batch in OpenAI
then Add contact in Climbo 2.0
When New file in OpenAI
then Add Client in Climbo 2.0
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 Climbo 2.0 and OpenAI
Triggers and actions 8 triggers · 89 actions
Trigger
New ChargeTriggers when a new charge is made to one of your Climbo clients.
Trigger
New ClientTriggers when a new client is added to your Climbo agency.
Trigger
New Google ReviewTriggers when a new Google review is posted for one of your Climbo client locations.
Action
Add ClientCreates a new client in your Climbo agency on the chosen plan and returns the new client.
Action
Add contactCreates a contact in one of a client's locations, optionally tagging it with existing tags so it can be targeted by campaigns.
Action
Add locationCreates a new location under one of your clients and returns it with its review link already set up.
Action
Change PlanMoves a Climbo client onto a different agency plan and returns the updated client.
Action
Change StatusChanges a Climbo client's subscription status (active, trialing, unpaid or paused) and returns the updated client.
Action
Delete ClientDeletes a client from your Climbo agency.
Action
Get ClientFinds a Climbo client by email and returns its details.
Action
Get locationReturns one location of a client: its name, address, connected review sites, review link, and overall rating and review count.
Action
Get planReturns one of your agency's plans with its name, location limit, prices, trial settings and the features it includes.
Action
List chargesReturns the recent charges billed to your agency's clients, with amount, status, card and refund details.
Action
List clientsReturns your agency's clients, optionally narrowed by plan, subscription status or email.
Action
List contactsReturns the contacts of a Climbo location, with their tags and whether they have been contacted, optionally filtered by name, phone or email.
Action
List plansReturns the plans your agency can offer to clients, with their prices, location limits, trial settings and included features.
Action
List private feedbackReturns the private feedback (written and video) left for one of a client's locations.
Action
List review invitationsReturns the review invitations sent for one of a client's locations, newest pages first, with the channel, category, recipient and send time of each.
Action
List reviewsReturns the reviews of a client's location, optionally only those from one review site such as Google or Yelp.
Action
Reply to private feedbackSends an email reply to a customer's private feedback entry for a location and returns the updated feedback.
Action
Reply to reviewPublishes a reply to a customer review on one of a client's locations.
Action
Send test webhook eventSends a sample payload of the chosen Climbo event to a URL and returns how that address replied.
Trigger
New batchList your organization's batches.
Trigger
New fileReturns a list of files.
Trigger
New modelLists the currently available models.
Trigger
New vector storeReturns a list of vector stores.
Trigger
New videoList recently generated videos for the current project.
Action
Ask docs with file searchAsks an OpenAI model a question answered from a vector store via the Responses API file_search tool, and returns just the reply text. Authenticates with this account's own OpenAI connection, unlike the platform AI Agent step which requires a platform-level system key.
Action
Cancel batchCancels an in-progress batch.
Action
Cancel runCancels a run that is in_progress.
Action
Cancel vector store file batchCancel a vector store file batch.
Action
Content moderationClassifies text for hate, harassment, self-harm, sexual, and violence categories using the Moderations API.
Action
Count input tokensReturns input token counts of the request.
Action
Create assistantCreate an assistant with a model and instructions.
Action
Create chat completionSends a list of chat messages to a model via the Chat Completions API and returns the assistant's reply.
Action
Create completionCreates a completion for the provided prompt and parameters.
Action
Create embeddingGenerates a vector embedding for input text using an embeddings model (e.g. text-embedding-3-small).
Action
Create messageCreate a message.
Action
Create runCreate a run.
Action
Creates and executes a batch from an uploaded file of requestsCreates and executes a batch from an uploaded file of requests
Action
Create threadCreate a thread.
Action
Create thread and runCreate a thread and run it in one request.
Action
Create vector storeCreate a vector store.
Action
Create vector store fileCreate a vector store file by attaching a File to a vector store.
Action
Create vector store file batchCreate a vector store file batch.
Action
Create video edit jobCreate a new video generation job by editing a source or existing generated video.
Action
Create video extensionCreate an extension of a completed video.
Action
Create video generation jobCreate a new video generation job from a prompt and optional reference assets.
Action
Create video remixCreate a remix of a completed video using a refreshed prompt.
Action
Delete assistantDelete an assistant.
Action
Delete eval runDelete an eval run.
Action
Delete fileDelete a file and remove it from all vector stores.
Action
Delete messageDeletes a message.
Action
Delete threadDelete a thread.
Action
Delete vector storeDelete a vector store.
Action
Delete vector store fileDelete a vector store file (removes from store, file itself not deleted).
Action
Delete videoPermanently delete a completed or failed video and its stored assets.
Action
Download video contentDownload the generated video bytes or a derived preview asset.
Action
Edit imageCreates an edited or extended image given one or more source images and a prompt.
Action
Generate imageGenerates an image from a text prompt using gpt-image-1 / DALL-E and returns the image URL or base64 data.
Action
Generate speechConverts text into spoken audio using a TTS model and the selected voice. Returns audio bytes.
Action
Get assistantRetrieves an assistant.
Action
Get batchRetrieves a batch.
Action
Get fileReturns information about a specific file.
Action
Get file contentReturns the contents of the specified file.
Action
Get messageRetrieve a message.
Action
Get modelRetrieves a model instance.
Action
Get runRetrieves a run.
Action
Get run stepRetrieves a run step.
Action
Get threadRetrieves a thread.
Action
Get vector storeRetrieves a vector store.
Action
Get vector store fileRetrieves a vector store file.
Action
Get vector store file batchRetrieves a vector store file batch.
Action
Get vector store file contentRetrieve the parsed contents of a vector store file.
Action
Get videoFetch the latest metadata for a generated video.
Action
List conversation itemsList all items for a conversation with the given ID.
Action
List filesLists files that have been uploaded to your OpenAI account.
Action
List messagesReturns a list of messages for a given thread.
Action
List modelsLists the models currently available to your account.
Action
List runsReturns a list of runs belonging to a thread.
Action
List run stepsReturns a list of run steps belonging to a run.
Action
List vector store file batch filesReturns a list of vector store files in a batch.
Action
List vector store filesReturns a list of vector store files.
Action
OpenAI agent messageRuns one AI agent turn on OpenAI and returns the model's reply. The turn is billed to the OpenAI account connected on this step, and the agent can call the account's AI tool automations.
Action
Retrieve responseRetrieves a previously created model response by its Response ID.
Action
Search vector storeSearch a vector store for relevant chunks based on a query and filter.
Action
Send model a messageSends a message to an OpenAI model via the Responses API and emits its response. Returns a Response ID usable as previous_response_id for multi-turn conversations.
Action
Submit tool outputs to runSubmit tool outputs when a run requires action.
Action
Transcribe audioTranscribes audio into the input language.
Action
Translate audioTranslates audio into English.
Action
Update assistantModifies an assistant.
Action
Update messageModifies a message.
Action
Update runModifies a run.
Action
Update threadModifies a thread.
Action
Update vector storeModifies a vector store.
Action
Update vector store file attributesUpdate attributes on a vector store file.
Action
Upload fileUpload a file that can be used across various endpoints.
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
Climbo 2.0 and OpenAI, answered
What can start an automation from Climbo 2.0?
Any of Climbo 2.0's 3 triggers in the catalog, including New Charge, New Client and New Google Review. Describe the moment in plain language and your agent picks the right one.
What can your agent do in OpenAI when something happens in Climbo 2.0?
Any of OpenAI's 70 actions, including Create assistant, Create chat completion, Create completion and Create embedding. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from OpenAI to Climbo 2.0?
Yes. When something happens in OpenAI, your agent can act in Climbo 2.0 too. This page covers both directions: OpenAI's triggers and Climbo 2.0's actions are listed here as well.
Do I have to build a connector for Climbo 2.0 or OpenAI?
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 Climbo 2.0 and OpenAI 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.