Integration
Connect Groundhogg to Enrich.so
When New Contact fires in Groundhogg, your agent runs Email Finder in Enrich.so. 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 Groundhogg and Enrich.so 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 Groundhogg can start in Enrich.so
When New Contact in Groundhogg
then Email Finder in Enrich.so
When New Note in Groundhogg
then Linkedin Email Finder V2 in Enrich.so
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 Groundhogg and Enrich.so
Triggers and actions 2 triggers · 19 actions
Trigger
New ContactTriggers when a new contact is added to Groundhogg.
Trigger
New NoteTriggers when a new note is added in Groundhogg.
Action
Add Tags to ContactApplies one or more tags to a Groundhogg contact, by tag ID or name.
Action
Create ContactCreates a new contact in Groundhogg with an email address, name, opt-in status, owner, custom fields and tags.
Action
Create NoteAdds a note to a Groundhogg contact's record.
Action
Create TagCreates a new tag in Groundhogg.
Action
Delete ContactPermanently deletes a contact from Groundhogg.
Action
Find ContactsFinds Groundhogg contacts whose email or name matches the search text and returns the matching contact records.
Action
Get ContactReturns a single Groundhogg contact by its ID, including its details, custom fields and tags.
Action
List TagsReturns the tags defined in your Groundhogg site.
Action
Remove Tags from ContactRemoves one or more tags from a Groundhogg contact.
Action
Send Email to ContactSends one of your Groundhogg emails to a contact.
Action
Update ContactUpdates an existing Groundhogg contact's details, custom fields and tags.
Action
Email FinderFinds a person's professional email address from their first name, last name and company domain.
Action
Enrich Person LiteReturns a person's professional profile — name, headline, current company, job history, education and skills — from their email address.
Action
Find PersonFinds a person's professional profile (name, headline, current company, job history, education and skills) from their email address.
Action
Linkedin Email Finder V2Finds the personal email address for a person from their LinkedIn profile URL.
Action
Reverse Email AppendLooks up a person's professional profile (name, headline, current company, job history, education and skills) from their email address.
Action
Search CompanySearches Enrich's company database by name and returns matching company names.
Action
Search PeopleSearches for people at a company by its LinkedIn page, ranking them against your ideal customer profile (titles, seniority, skills, location). Returns scored matches, best first.
Action
Verify EmailChecks whether an email address is deliverable and returns a valid, invalid or risky verdict with confidence and mail provider.
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
Groundhogg and Enrich.so, answered
What can start an automation from Groundhogg?
Any of Groundhogg's 2 triggers in the catalog, including New Contact and New Note. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Enrich.so when something happens in Groundhogg?
Any of Enrich.so's 8 actions, including Email Finder, Enrich Person Lite, Find Person and Linkedin Email Finder V2. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Enrich.so to Groundhogg?
Enrich.so has no triggers in the catalog today, so automations start in Groundhogg. If you need the other direction, ask: your agent reads Enrich.so's API documentation and adds it.
Do I have to build a connector for Groundhogg or Enrich.so?
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 Groundhogg and Enrich.so 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.