Integration
Connect BrandMentions and PostgreSQL
When New Mention fires in BrandMentions, your agent runs Add Row in PostgreSQL, or New or Updated Row in PostgreSQL to Add Review Source to Project in BrandMentions. 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 BrandMentions and PostgreSQL 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 BrandMentions and PostgreSQL can do together
From BrandMentions to PostgreSQL
When New Mention in BrandMentions
then Add Row in PostgreSQL
From PostgreSQL to BrandMentions
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 BrandMentions and PostgreSQL
Triggers and actions 6 triggers · 17 actions
- New Mention
Triggers when a project picks up a new mention on the web or social media.
- New Project
Triggers when a new monitoring project is created in your BrandMentions account.
- Add Review Source to Project
Adds a reviews page, such as a Yelp listing, to a project so its reviews are monitored.
- Create Project
Creates a project that monitors the web and social networks for up to five keywords.
- Delete Project
Deletes a monitoring project from your BrandMentions account.
- Get Keyword Count for Boolean Expression
Returns how many keyword credits a project built from a boolean search expression would use.
- Get Project Mentions Count
Returns the total number of mentions a project has collected.
- Get Remaining Credits
Returns how many projects you can still create and how many historical mentions you can still store.
- List Project Influencers
Returns the social media influencers who mentioned a project's keywords, one page at a time.
- List Project Mentions
Returns the saved mentions of a project one page at a time, optionally limited to a date range.
- List Projects
Returns every monitoring project in your BrandMentions account with its keywords, languages and countries.
- Run Project Historical Search
Starts collecting past mentions for a project, going back the number of months you choose.
- Update Project
Changes the boolean search expression of a project, for existing or only future mentions.
- New or Updated Row
Triggers when a new row is added or modified.
- New or Updated Row (Custom Query)
Fires for each new or changed row returned by a SELECT statement you write against the connected PostgreSQL database.
- New Row
Triggers when you add a new row.
- New Table
Fires when a new table appears in the connected PostgreSQL database.
- Add Row
Adds a new row.
- Delete Row
Delete the rows in a table whose chosen column equals a value.
- Find Row
Finds a row in a table via a lookup column.
- Find Rows via Custom Query
Runs a SELECT statement you write against the connected PostgreSQL database and returns every row it matches.
- Find Row via Custom Query
Runs a SELECT statement you write against the connected PostgreSQL database and returns the first row it matches.
- Update Row
Updates an existing row.
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
BrandMentions and PostgreSQL, answered
What can start an automation from BrandMentions?
Any of BrandMentions's 2 triggers in the catalog, including New Mention and New Project. Describe the moment in plain language and your agent picks the right one.
What can your agent do in PostgreSQL when something happens in BrandMentions?
Any of PostgreSQL's 6 actions, including Update Row, Add Row, Find Row and Find Rows via Custom Query. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from PostgreSQL to BrandMentions?
Yes. When something happens in PostgreSQL, your agent can act in BrandMentions too. This page covers both directions: PostgreSQL's triggers and BrandMentions's actions are listed here as well.
Do I have to build a connector for BrandMentions or PostgreSQL?
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 BrandMentions and PostgreSQL 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.