Integration
Connect Frame.io and Kenect Text Messaging
When Comment Completed fires in Frame.io, your agent runs Add contacts to contact group in Kenect Text Messaging, or Lead Push in Kenect Text Messaging to Create Comment in Frame.io. 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 Frame.io and Kenect Text Messaging 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 Frame.io and Kenect Text Messaging can do together
From Frame.io to Kenect Text Messaging
When Comment Completed in Frame.io
then Add contacts to contact group in Kenect Text Messaging
From Kenect Text Messaging to Frame.io
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 Frame.io and Kenect Text Messaging
Triggers and actions 10 triggers · 27 actions
- Comment Completed
Triggers when a comment is marked as completed. Shows live data from your projects.
- Comment Created
Triggers when a new comment is created.
- Comment Updated
Triggers when a comment is updated.
- File Created
Triggers when a file is first created, but before it is uploaded and processed.
- File Deleted
Triggers when a file is deleted. Note: Only deletion metadata is available, not the original file content.
- File Ready
Triggers when a newly uploaded file has been fully processed and is available for preview, comments, sharing, and downloads.
- File Upload Completed
Triggers when a file has been fully uploaded to Frame.io and is ready for processing.
- Metadata Value Updated
Triggers when a metadata value is updated. Shows live data from your projects. Prioritizes Status field changes (Approved, In Review, etc.) for workflow automation.
- Project Created
Triggers when a new project is created. Shows live data from your workspace.
- Create Comment
Creates a new comment on a file.
- Create Folder
Creates a new folder within a project.
- Create Project
Creates a new project within a workspace.
- Create Share
Creates a new share.
- Create Version Stack
Create a new version stack to group related asset versions together.
- Create Workspace
Creates a new workspace within an account.
- Custom API Request (SDK)
Make a custom request to the Frame.io v4 API using the official SDK with guided method selection.
- Delete File
deletes a file, firing the file.deleted webhook.
- Show Project Details
Get detailed information about a specific project.
- Show Share
Returns one share by id.
- Show Workspace
Returns a single workspace's details.
- Update Comment
Updates an existing comment with new text, annotation, or completion status.
- Update File Metadata
sets metadata field values (field_definition_id + value) on one or more file_ids; fires metadata.value.updated.
- Update Project
Updates an existing project name, status, or access restrictions.
- Upload File From URL
Upload a file to Frame.io from a remote URL (like Google Drive, AWS S3, etc.)
- Lead Push
Triggers when a new conversation starts in Kenect, the closest record Kenect's API exposes to an incoming lead.
- Add contacts to contact group
Adds one or more contacts to an existing contact group and returns the per-contact processing status.
- Find contact by phone
Finds the contact at a Kenect location that has the given phone number.
- Get contact
Returns a single Kenect contact by its contact ID, including its phone numbers and contact groups.
- Get conversation
Returns one Kenect conversation with its messages, contact, assignment and read status.
- List contact groups
Returns the contact groups in a Kenect location, with each group's name and its contact, opt-in and opt-out counts.
- List contacts
Returns the contacts in your Kenect account, optionally narrowed by location, search text or status, and sorted the way you choose.
- List locations
Returns all the Kenect locations available to your account, including each location's name and address.
- List reviews
Returns all Google and Facebook reviews for the locations assigned to the connected Kenect user, including their ratings, comments and reply status.
- List users
Returns the users on the Kenect account, optionally only those with permissions in a chosen location.
- Push Lead
Submits a lead to a Kenect location, which begins a text conversation with the person making the inquiry. Returns the id of the new lead.
- Reply to conversation
Sends a reply in an existing Kenect conversation from a chosen location, with optional subject and attachments.
- Review Request
Sends a review request to a contact's phone number from a Kenect location and returns the message that was sent.
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
Frame.io and Kenect Text Messaging, answered
What can start an automation from Frame.io?
Any of Frame.io's 9 triggers in the catalog, including Comment Completed, Comment Created, Comment Updated and File Created. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Kenect Text Messaging when something happens in Frame.io?
Any of Kenect Text Messaging's 12 actions, including Add contacts to contact group, Find contact by phone, Get contact and Get conversation. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Kenect Text Messaging to Frame.io?
Yes. When something happens in Kenect Text Messaging, your agent can act in Frame.io too. This page covers both directions: Kenect Text Messaging's triggers and Frame.io's actions are listed here as well.
Do I have to build a connector for Frame.io or Kenect Text Messaging?
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 Frame.io and Kenect Text Messaging 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.