Integration
Connect Calendly and TESS
When New scheduled event (polling) fires in Calendly, your agent runs Create Memory in TESS, or New Memory in TESS to Update event type availability schedule in Calendly. 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 Calendly and TESS 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 Calendly and TESS can do together
From Calendly to TESS
When New scheduled event (polling) in Calendly
then Create Memory in TESS
When Canceled scheduled event (polling) in Calendly
then Create Memory Collection in TESS
From TESS to Calendly
When New Memory in TESS
then Update event type availability schedule in Calendly
When New Memory in TESS
then Get current user in Calendly
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 Calendly and TESS
Triggers and actions 3 triggers · 32 actions
Trigger
Canceled scheduled event (polling)Triggers when a scheduled event is canceled.
Trigger
New scheduled event (polling)Triggers when a new scheduled event is created.
Action
Cancel scheduled eventCancels a scheduled event with a specified reason for the cancellation.
Action
Create single-use scheduling linkCreates a single-use booking link that allows one person to schedule an event.
Action
Get current userReturns the authenticated user's profile including name, email, timezone, and scheduling URL.
Action
Get event typeReturns details for the specified event type.
Action
Get inviteeReturns details about a specific invitee for a scheduled event.
Action
Get invitee next scheduled eventGets the next scheduled event for the invitee specified by their email.
Action
Get scheduled eventReturns details about a specific scheduled event.
Action
Get user availability scheduleReturns details for the specified user availability schedule.
Action
List event inviteesReturns the list of invitees for a scheduled event, optionally filtered by status.
Action
List event type availability schedulesReturns the event type's availability schedules.
Action
List event typesReturns your calendar's event type templates, optionally filtered by scope and active status.
Action
List organization membershipsReturns all members of the connected Calendly organization (paginated). One record per membership: user_email, user_uri, user_name, role.
Action
List scheduled eventsReturns scheduled events, filterable by scope, status, date range, and invitee email.
Action
List user availability schedulesReturns the user's availability schedules.
Action
List webhook subscriptionsReturns all webhook subscriptions for your organization.
Action
Mark invitee as no-showRecords that an invitee did not attend their scheduled event.
Action
Undo invitee no-showRemoves a no-show marking from an invitee.
Action
Update event type availability scheduleReplaces a single host's availability schedule on a Calendly event type with explicit date rules (full overwrite). Built for CalendarConnect: push real Mindbody bookable slots into Calendly so only MBO-bookable times are offered. CRITICAL: the host is targeted by the NESTED availability_rule.user — a top-level user alone is silently ignored and Calendly replaces the OAuth token owner's schedule instead. Always verify stored_user equals the requested host before trusting the result. For round-robin events, call once per host.
Trigger
New MemoryTriggers when a new memory is added in Tess, optionally only in one collection.
Action
Create MemoryCreates a Tess memory, optionally inside a memory collection.
Action
Create Memory CollectionCreates a Tess memory collection.
Action
Delete FileDeletes a file uploaded to Tess.
Action
Delete MemoryDeletes a Tess memory.
Action
Execute an AgentSends a message to a Tess agent, waits for it to finish, and returns the generated content.
Action
Execute Long Running AgentStarts a Tess agent without waiting and returns the execution response ID to fetch the result later.
Action
Find Agent DetailsReturns one Tess agent's details, including the input fields it asks for when executed.
Action
Find Agent Execution ResponseReturns the status and generated content of one agent execution.
Action
Find AgentsSearches your Tess agents by text or type and returns their details.
Action
Get FileReturns one file uploaded to Tess.
Action
List FilesLists files uploaded to Tess, newest first by default.
Action
List MemoriesLists Tess memories, optionally only those in one collection.
Action
List Memory CollectionsLists Tess memory collections, optionally filtered by name.
Action
Update MemoryUpdates the text or collection of a Tess memory.
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
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Questions
Calendly and TESS, answered
What can start an automation from Calendly?
Any of Calendly's 2 triggers in the catalog, including New scheduled event (polling) and Canceled scheduled event (polling). Describe the moment in plain language and your agent picks the right one.
What can your agent do in TESS when something happens in Calendly?
Any of TESS's 14 actions, including Create Memory, Create Memory Collection, Update Memory and Execute an Agent. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from TESS to Calendly?
Yes. When something happens in TESS, your agent can act in Calendly too. This page covers both directions: TESS's triggers and Calendly's actions are listed here as well.
Do I have to build a connector for Calendly or TESS?
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 Calendly and TESS 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.