Integration
Connect Amazon Relational Database Services (RDS) to NameAPI
When New Database fires in Amazon Relational Database Services (RDS), your agent runs Detect contact risk in NameAPI. 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 Relational Database Services (RDS) and NameAPI 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 Relational Database Services (RDS) can start in NameAPI
then Detect contact risk in NameAPI
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 Relational Database Services (RDS) and NameAPI
Triggers and actions 1 trigger · 7 actions
- New Database
Triggers when a new database instance is created in Amazon RDS.
- Detect contact risk
Risk Detector: scores a person/email/address record for fake or risky data.
- Detect disposable email address
Disposable Email Address Detector: checks whether an email is disposable.
- Format person name
Name Formatter: formats a person name (e.g. salutation/full name) per locale.
- Genderize person name
Name Genderizer: infers gender from a person name.
- Match person names
Name Matcher: compares two person names and returns a match type/confidence.
- Parse email name
Email Name Parser: extracts a person name from an email address.
- Parse person name
Name Parser: splits a full name into components (given/family names, title, gender).
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 Relational Database Services (RDS) and NameAPI, answered
What can start an automation from Amazon Relational Database Services (RDS)?
Any of Amazon Relational Database Services (RDS)'s 1 trigger in the catalog, including New Database. Describe the moment in plain language and your agent picks the right one.
What can your agent do in NameAPI when something happens in Amazon Relational Database Services (RDS)?
Any of NameAPI's 7 actions, including Detect contact risk, Detect disposable email address, Format person name and Genderize person name. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from NameAPI to Amazon Relational Database Services (RDS)?
NameAPI has no triggers in the catalog today, so automations start in Amazon Relational Database Services (RDS). If you need the other direction, ask: your agent reads NameAPI's API documentation and adds it.
Do I have to build a connector for Amazon Relational Database Services (RDS) or NameAPI?
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 Relational Database Services (RDS) and NameAPI without building an automation?
Yes. With your AI client connected to APIANT, ask it to do something in NameAPI 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.