Integration
Connect Peerdom to Pipeless Recommendations
When New Group fires in Peerdom, your agent runs Create Event in Pipeless Recommendations. 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 Peerdom and Pipeless Recommendations 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 Peerdom can start in Pipeless Recommendations
When New Group in Peerdom
then Create Event in Pipeless Recommendations
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 Peerdom and Pipeless Recommendations
Triggers and actions 5 triggers · 32 actions
- New Group
Triggered when a new circle is created
- New Map
Triggers when a new map is created.
- New Peer
Triggers when a new peer is created.
- New Project
Triggers when a new project is created.
- New Role
Triggers when a new role is created.
- Add Goal
Create a goal on a role or circle.
- Assign Role to Peer
Assigns an existing role to a peer in Peerdom.
- Create Group
Creates a new group in Peerdom.
- Create Peer
Creates a new peer in Peerdom.
- Create Role
Creates a new role in Peerdom.
- Delete Group
Delete a group by id.
- Delete Peer
Delete a peer by id.
- Delete Role
Delete a role by id from a live or draft map.
- Get Group
Get a single group by id.
- Get Peer
Get a single peer by id.
- Get Peer by E-Mail
Get Peer by a Given E-Mail.
- Get Project
Get a single project by id.
- Get Role
Get a single role by id from a live or draft map.
- List Groups
List all groups.
- List Maps
List all maps in the tenant.
- List Peers
List all peers in the tenant.
- List Projects
List all projects.
- List Roles
List all roles.
- Unassign Peer From Role
Unassign peer from a given role.
- Update Goal
Update a goal by id.
- Update Group
Updates an existing group (circle, bubble, pod, etc.) in Peerdom.
- Update Peer
Updates an existing peer in Peerdom.
- Update Project
Update a project by id.
- Update Role
Updates an existing role in Peerdom.
- Create Event
Creates a single event linking a start object to an end object through a relationship (for example, a user who liked a post) in your Pipeless app.
- Create Events (With Line Item Support)
Creates up to 10 events in one call, such as several line items a user purchased.
- Delete event
Deletes the event(s) matching a start object, relationship type and end object.
- Delete object
Deletes an object and all the relationships and events connected to it.
- Get Activity on Object
Returns the activity that has taken place on an object, such as who followed or liked it.
- Get object
Returns basic info (type, created and modified dates) for a single Pipeless object.
- List recent events
Returns the most recent events (user–relationship–object interactions) that have been sent to your Pipeless app.
- Update object
Updates an existing Pipeless object's id or its created/modified timestamps.
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
Peerdom and Pipeless Recommendations, answered
What can start an automation from Peerdom?
Any of Peerdom's 5 triggers in the catalog, including New Group, New Map, New Peer and New Project. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Pipeless Recommendations when something happens in Peerdom?
Any of Pipeless Recommendations's 8 actions, including Create Event, Create Events (With Line Item Support), Update object and Get Activity on Object. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Pipeless Recommendations to Peerdom?
Pipeless Recommendations has no triggers in the catalog today, so automations start in Peerdom. If you need the other direction, ask: your agent reads Pipeless Recommendations's API documentation and adds it.
Do I have to build a connector for Peerdom or Pipeless Recommendations?
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 Peerdom and Pipeless Recommendations 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.