---
title: "Connect Calendly to TensorFeed - APIANT.ai"
description: "When \"New scheduled event (polling)\" fires in Calendly, your agent runs \"Buy credits\" in TensorFeed."
canonical: "https://apiant.ai/connect/calendly-to-tensorfeed"
---

# Connect Calendly to TensorFeed

When **New scheduled event (polling)** fires in [Calendly](https://apiant.ai/connections/calendly), your agent runs **Buy credits** in [TensorFeed](https://apiant.ai/connections/tensorfeed). Describe the whole flow and it is built, tested on every scenario and kept running.

Calendly **2** triggers Calendly **18** actions TensorFeed **27** actions

What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it.

## What do you want Calendly and TensorFeed to do together?

Give your AI client this address.

`https://mcp.apiant.ai`

One 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.ai`

Start Claude Code there, approve the server, and sign in in the browser page it opens.

[Claude Code guide (opens in a new tab)](https://apiant.ai/docs/mcp/claude-code)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### Zed

Open Settings, then AI, then MCP Servers, then Add Server, then Add Remote Server.

[Setup guide (opens in a new tab)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

### 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)](https://apiant.ai/docs/mcp)

Example flows

## What Calendly can start in TensorFeed

- When **New scheduled event (polling)** in Calendly then **Buy credits** in TensorFeed
- When **Canceled scheduled event (polling)** in Calendly then **Find AI news** in TensorFeed

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 TensorFeed

## Triggers and actions 2 triggers · 45 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 event**

Cancels a scheduled event with a specified reason for the cancellation.

- Action

**Create single-use scheduling link**

Creates a single-use booking link that allows one person to schedule an event.

- Action

**Get current user**

Returns the authenticated user's profile including name, email, timezone, and scheduling URL.

- Action

**Get event type**

Returns details for the specified event type.

- Action

**Get invitee**

Returns details about a specific invitee for a scheduled event.

- Action

**Get invitee next scheduled event**

Gets the next scheduled event for the invitee specified by their email.

- Action

**Get scheduled event**

Returns details about a specific scheduled event.

- Action

**Get user availability schedule**

Returns details for the specified user availability schedule.

- Action

**List event invitees**

Returns the list of invitees for a scheduled event, optionally filtered by status.

- Action

**List event type availability schedules**

Returns the event type's availability schedules.

- Action

**List event types**

Returns your calendar's event type templates, optionally filtered by scope and active status.

- Action

**List organization memberships**

Returns all members of the connected Calendly organization (paginated). One record per membership: user_email, user_uri, user_name, role.

- Action

**List scheduled events**

Returns scheduled events, filterable by scope, status, date range, and invitee email.

- Action

**List user availability schedules**

Returns the user's availability schedules.

- Action

**List webhook subscriptions**

Returns all webhook subscriptions for your organization.

- Action

**Mark invitee as no-show**

Records that an invitee did not attend their scheduled event.

- Action

**Undo invitee no-show**

Removes a no-show marking from an invitee.

- Action

**Update event type availability schedule**

Replaces 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.

- Action

**Buy credits**

Initiate a credit purchase against a sender wallet.

- Action

**Find AI news**

Full-text search across the AI news archive.

- Action

**Get AFTA adopter directory**

Fetch the machine-readable AFTA adopter directory.

- Action

**Get AI agent directory**

Fetch a curated directory of AI agents and frameworks.

- Action

**Get AI benchmark scores**

Fetch public benchmark scores for major AI models.

- Action

**Get AI ecosystem daily brief**

Fetch a composite daily brief covering the AI ecosystem.

- Action

**Get AI model pricing and specs**

Fetch pricing and specs for AI models.

- Action

**Get AI news**

Fetch aggregated AI news articles.

- Action

**Get AI podcast episodes**

Fetch recent AI podcast episodes.

- Action

**Get AI service status**

Fetch operational status for major AI services.

- Action

**Get benchmark trust verdict**

Fetch a trust band and score for an AI benchmark.

- Action

**Get cheapest GPU offer**

Fetch the cheapest current offer for a canonical GPU.

- Action

**Get cross-provider model catalog**

Fetch a cross-provider AI model catalog snapshot from OpenRouter.

- Action

**Get failover verdict**

Fetch the best operational failover target when a provider degrades.

- Action

**Get GPU rental pricing**

Fetch current GPU rental pricing snapshot.

- Action

**Get HF daily papers**

Fetch Hugging Face Daily Papers with community signal.

- Action

**Get historical snapshot**

Fetch one historical daily snapshot by date and type.

- Action

**Get hot AI GitHub issues**

Fetch currently-hot GitHub issues across AI repos.

- Action

**Get LLM endpoint latency probes**

Fetch the last 24 hours of LLM endpoint latency probes.

- Action

**Get MCP server registry snapshot**

Fetch a daily summary of the MCP server registry.

- Action

**Get model deprecation calendar**

Fetch the AI model deprecation calendar.

- Action

**Get recent arXiv papers**

Fetch the most recent AI/ML arXiv submissions.

- Action

**Get stack safety verdict**

Fetch a GO/HOLD/BLOCK deploy gate verdict for an AI-stack package.

- Action

**Get trending AI GitHub repos**

Fetch trending GitHub repositories in AI.

- Action

**Get trending AI papers**

Fetch daily citation-ranked AI/ML papers from Semantic Scholar.

- Action

**Get trending Hugging Face models**

Fetch top trending Hugging Face models, datasets, and Spaces.

- Action

**Get trending Reddit AI threads**

Fetch currently-hot AI discussion threads on Reddit.

## Each app on its own

- [ **Calendly** Calendly is a scheduling automation platform for eliminating the back-and-forth emails to find the perfect...](https://apiant.ai/connections/calendly)
- [ **TensorFeed** TensorFeed aggregates real-time information about the AI industry.](https://apiant.ai/connections/tensorfeed)

Reviews

## What our customers say

## More from Calendly

- [ **Calendly to Notion** A new tool that blends your everyday work apps into one. It's the all-in-one workspace for you and your team.](https://apiant.ai/connect/calendly-to-notion)
- [ **Calendly to GoHighLevel** All-in-one sales and marketing platform agencies white-label and resell to their clients — contacts...](https://apiant.ai/connect/calendly-to-gohighlevel)
- [ **Calendly to CleverReach** CleverReach is an email marketing solution that lets you easily create newsletters online and send them to...](https://apiant.ai/connect/calendly-to-cleverreach)
- [ **Calendly to CORE** Access the world's Open Access research papers](https://apiant.ai/connect/calendly-to-core)
- [ **Calendly to Fera** Fera is a customer reviews app that allows you to automate review requests, display reviews on your site and...](https://apiant.ai/connect/calendly-to-fera)
- [ **Calendly to Fidel Api** API for linking bank cards and streaming real-time card transaction data to power loyalty and rewards...](https://apiant.ai/connect/calendly-to-fidel-api)

## More into TensorFeed

- [ **HubSpot to TensorFeed** HubSpot is your all-in-one stop for all of your marketing software needs.](https://apiant.ai/connect/hubspot-to-tensorfeed)
- [ **Salesforce to TensorFeed** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/salesforce-to-tensorfeed)
- [ **Slack to TensorFeed** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/slack-to-tensorfeed)
- [ **Google Sheets to TensorFeed** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-tensorfeed)
- [ **Gmail to TensorFeed** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-tensorfeed)
- [ **Google Calendar to TensorFeed** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-tensorfeed)

Questions

## Calendly and TensorFeed, 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 TensorFeed when something happens in Calendly?

Any of TensorFeed's 27 actions, including Buy credits, Find AI news, Get AFTA adopter directory and Get AI agent directory. Your agent maps the data both ways and tests every scenario before it ships.

###

### Can it also run from TensorFeed to Calendly?

TensorFeed has no triggers in the catalog today, so automations start in Calendly. If you need the other direction, ask: your agent reads TensorFeed's API documentation and adds it.

###

### Do I have to build a connector for Calendly or TensorFeed?

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 TensorFeed 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.
