Integration
Connect Peerdom to Azure OpenAI
When New Group fires in Peerdom, your agent runs Send Chat Message in Azure OpenAI. 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 Azure OpenAI 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 Azure OpenAI
When New Group in Peerdom
then Send Chat Message in Azure OpenAI
When New Map in Peerdom
then Create Response in Azure OpenAI
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 Azure OpenAI
Triggers and actions 5 triggers · 30 actions
Trigger
New GroupTriggered when a new circle is created
Trigger
New MapTriggers when a new map is created.
Trigger
New PeerTriggers when a new peer is created.
Trigger
New ProjectTriggers when a new project is created.
Trigger
New RoleTriggers when a new role is created.
Action
Add GoalCreate a goal on a role or circle.
Action
Assign Role to PeerAssigns an existing role to a peer in Peerdom.
Action
Create Draft MapCreates a new draft map in Peerdom (Drafts App must be activated).
Action
Create PeerCreates a new peer in Peerdom.
Action
Create RoleCreates a new role in Peerdom.
Action
Delete GoalDelete a goal by id.
Action
Delete GroupDelete a group by id.
Action
Delete PeerDelete a peer by id.
Action
Delete RoleDelete a role by id from a live or draft map.
Action
Get GroupGet a single group by id.
Action
Get PeerGet a single peer by id.
Action
Get Peer by E-MailGet Peer by a Given E-Mail.
Action
Get ProjectGet a single project by id.
Action
Get RoleGet a single role by id from a live or draft map.
Action
List GroupsList all groups.
Action
List MapsList all maps in the tenant.
Action
List PeersList all peers in the tenant.
Action
List ProjectsList all projects.
Action
List RolesList all roles.
Action
Unassign Peer From RoleUnassign peer from a given role.
Action
Update GoalUpdate a goal by id.
Action
Update GroupUpdates an existing group (circle, bubble, pod, etc.) in Peerdom.
Action
Update PeerUpdates an existing peer in Peerdom.
Action
Update ProjectUpdate a project by id.
Action
Update RoleUpdates an existing role in Peerdom.
Action
Create ResponseSends a message to a model deployment in your Azure OpenAI resource through the Responses API and returns the reply. Pass the ID of an earlier response to continue that conversation.
Action
Generate EmbeddingTurns a piece of text into an embedding vector using an embedding model deployment in your Azure OpenAI resource, for semantic search, clustering or similarity matching.
Action
Get ResponseReturns a stored response from your Azure OpenAI resource by its ID, including its status and reply text.
Action
List DeploymentsReturns the model deployments in your Azure OpenAI resource, with each deployment's name, model and status.
Action
Send Chat MessageSends a message to a chat model deployment in your Azure OpenAI resource and returns the model's reply, using the Chat Completions API.
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 Azure OpenAI, 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 Azure OpenAI when something happens in Peerdom?
Any of Azure OpenAI's 5 actions, including Create Response, Send Chat Message, Generate Embedding and Get Response. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Azure OpenAI to Peerdom?
Azure OpenAI has no triggers in the catalog today, so automations start in Peerdom. If you need the other direction, ask: your agent reads Azure OpenAI's API documentation and adds it.
Do I have to build a connector for Peerdom or Azure OpenAI?
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 Azure OpenAI 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.