Integration
Connect Amazon Redshift and Chatling
When New Row fires in Amazon Redshift, your agent runs Create Contact in Chatling, or New Contact/Lead in Chatling to Create Rows in Amazon Redshift. 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 Amazon Redshift and Chatling 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 Amazon Redshift and Chatling can do together
From Amazon Redshift to Chatling
then Create Contact in Chatling
From Chatling to Amazon Redshift
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 Amazon Redshift and Chatling
Triggers and actions 4 triggers · 17 actions
- New Row
Triggers when a new row is added to an Amazon Redshift table.
- Updated Row
Triggers when a row in an Amazon Redshift table is added or changed, based on its updated-time column.
- Create Rows
Adds a row to an Amazon Redshift table.
- Delete Rows
Deletes the rows in an Amazon Redshift table that match a condition.
- Find Rows
Finds rows in an Amazon Redshift table that match a condition.
- Query Database
Runs one SQL statement on your Amazon Redshift database and returns any rows it produces.
- Update Rows
Updates the rows in an Amazon Redshift table that match a condition.
- New Contact/Lead
Triggers when a Chatling chatbot saves a new contact or lead.
- New Conversation
Triggers when a customer starts a new conversation with a Chatling chatbot.
- Add Knowledge Base FAQ
Adds a question and answer (FAQ) to a Chatling chatbot's knowledge base.
- Add Knowledge Base Links
Adds a webpage link to a Chatling chatbot's knowledge base so the AI can answer from it.
- Add Knowledge Base Text
Adds a block of text to a Chatling chatbot's knowledge base so the AI can answer from it.
- Create Contact
Creates a contact (lead) in a Chatling chatbot. At least one contact detail is required.
- Delete Contact
Deletes a contact from a Chatling chatbot.
- Delete Conversation
Deletes a conversation from a Chatling chatbot.
- Delete Knowledge Base Data Source
Deletes a data source (link, text or FAQ) from a Chatling chatbot's knowledge base.
- Get Chatbot
Returns one Chatling chatbot by its ID, with its name, version and visibility.
- Get Contact
Returns one contact saved by a Chatling chatbot, with name, email, phone and company.
- Get Conversation
Returns one Chatling conversation with its contact and messages.
- List Chatbots
Returns the chatbots in your Chatling project, with each chatbot's ID, name and visibility.
- List Contacts
Returns the contacts and leads saved by a Chatling chatbot.
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
Amazon Redshift and Chatling, answered
What can start an automation from Amazon Redshift?
Any of Amazon Redshift's 2 triggers in the catalog, including New Row and Updated Row. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Chatling when something happens in Amazon Redshift?
Any of Chatling's 12 actions, including Create Contact, Add Knowledge Base FAQ, Add Knowledge Base Links and Add Knowledge Base Text. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Chatling to Amazon Redshift?
Yes. When something happens in Chatling, your agent can act in Amazon Redshift too. This page covers both directions: Chatling's triggers and Amazon Redshift's actions are listed here as well.
Do I have to build a connector for Amazon Redshift or Chatling?
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 Amazon Redshift and Chatling 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.