Integration
Connect Pingdom to Nvidia
When New Check fires in Pingdom, your agent runs Rerank documents in Nvidia. 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 Pingdom and Nvidia 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 Pingdom can start in Nvidia
When New Check in Pingdom
then Rerank documents in Nvidia
When New Contact in Pingdom
then Create chat completion in Nvidia
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 Pingdom and Nvidia
Triggers and actions 2 triggers · 20 actions
Trigger
New CheckTriggers when a new check is added to the account. Polling on the checks list, deduped by check id.
Trigger
New ContactTriggers when a new alert contact is added. Polling on the contacts list, deduped by contact id.
Action
Delete CheckDeletes a check permanently.
Action
Delete ContactDeletes an alert contact.
Action
Delete Maintenance WindowDeletes a scheduled maintenance window.
Action
Get Account CreditsReturns the account's available checks/credits.
Action
Get Average Response TimeReturns the average response time for a specified check, optionally broken down by probe or country.
Action
Get CheckReturns detailed information about a specified check.
Action
Get ContactReturns a single contact by id.
Action
Get Outage SummaryReturns a list of status changes (up/down) for a specified check over a period.
Action
Get Performance SummaryReturns response time averages over time for a specified check.
Action
Get Raw Check ResultsReturns raw test result probe data for a specified check.
Action
List ChecksReturns a list of all checks on the Pingdom account.
Action
List ContactsReturns all contacts (alert recipients) on the account.
Action
List Maintenance WindowsReturns scheduled maintenance windows.
Action
List TeamsReturns all alerting teams on the account.
Action
List TMS ChecksReturns all Transaction (TMS) checks on the account.
Action
Create chat completionSends a conversation to an NVIDIA-hosted language model and returns the model's reply.
Action
Create embeddingCreates embedding vectors for one or more pieces of text using an NVIDIA NIM embedding model.
Action
Generate imageGenerates an image from a text prompt with a FLUX model hosted on the NVIDIA API Catalog and returns it as base64.
Action
List modelsLists the models currently available for inference on the NVIDIA API catalog.
Action
Rerank documentsRerank a list of candidate documents against a query for retrieval accuracy via an NVIDIA NIM reranking model.
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
Pingdom and Nvidia, answered
What can start an automation from Pingdom?
Any of Pingdom's 2 triggers in the catalog, including New Check and New Contact. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Nvidia when something happens in Pingdom?
Any of Nvidia's 5 actions, including Create chat completion, Create embedding, Generate image and List models. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Nvidia to Pingdom?
Nvidia has no triggers in the catalog today, so automations start in Pingdom. If you need the other direction, ask: your agent reads Nvidia's API documentation and adds it.
Do I have to build a connector for Pingdom or Nvidia?
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 Pingdom and Nvidia 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.