Integration
Connect Amazon Redshift to Valyu
When New Row fires in Amazon Redshift, your agent runs Add deep research task in Valyu. 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 Valyu 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 can start in Valyu
then Add deep research task in Valyu
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 Valyu
Triggers and actions 2 triggers · 15 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.
- Add deep research task
Create a new asynchronous DeepResearch task.
- Delete deep research task
Permanently deletes a DeepResearch task and its associated data (output, sources, PDF, images). Running or queued tasks must be cancelled first.
- Find content by query
Returns up to 20 results (web pages, papers, news, proprietary datasets) that match the specified search query, with extracted content.
- Find datasources by criteria
Finds Valyu datasources matching a natural-language description, ranked best-first by relevance.
- Generate answer
Answers a question with an AI-written, cited response grounded in real-time search across web, academic, financial and proprietary sources.
- Get deep research task
Retrieve the current status, progress and results of a Valyu DeepResearch task.
- List datasource categories
Lists all Valyu datasource categories (such as research, healthcare, markets), which can be used to filter the datasources list.
- List datasources
Lists the data sources available through Valyu's search API, optionally filtered by category.
- List deep research tasks
Lists the DeepResearch tasks created with the connected API key, with each task's id, query, status, creation time and public flag.
- Update deep research task
Adds a follow-up instruction to a running DeepResearch task to steer its research. Only accepted before the writing phase begins.
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 Valyu, 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 Valyu when something happens in Amazon Redshift?
Any of Valyu's 10 actions, including Update deep research task, Add deep research task, Find content by query and Find datasources by criteria. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Valyu to Amazon Redshift?
Valyu has no triggers in the catalog today, so automations start in Amazon Redshift. If you need the other direction, ask: your agent reads Valyu's API documentation and adds it.
Do I have to build a connector for Amazon Redshift or Valyu?
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 Valyu 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.