Integration
Connect Earth Class Mail to Optimizely
When New Scan Completed fires in Earth Class Mail, your agent runs Add page in Optimizely. 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 Earth Class Mail and Optimizely 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 Earth Class Mail can start in Optimizely
When New Scan Completed in Earth Class Mail
then Add page in Optimizely
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 Earth Class Mail and Optimizely
Triggers and actions 1 trigger · 57 actions
- New Scan Completed
Triggers when a mail piece in the inbox has been opened and scanned.
- Add Tags to Piece
Adds tags to a mail piece, keeping its existing tags.
- Archive Piece
Archives a mail piece, hiding it from the default inbox view.
- Cancel Check Deposit
Cancels a check deposit request the mailroom has not acted on yet.
- Cancel Piece Shredding
Cancels a pending shred request for a mail piece.
- Create Shipment
Creates a shipment of mail pieces using a rate from Get Shipping Rates.
- Create Tag
Creates a tag in an inbox.
- Delete Tag
Deletes a tag from an inbox.
- Email Scan
Emails a scan's PDF to one or more email addresses.
- Get Bulk Piece Media
Returns envelope images and content scans for several mail pieces at once.
- Get Current User
Returns the Virtual Mail user the API key belongs to, including the user ID other operations need.
- Get Piece
Returns one mail piece's details, including sender, recipient and attributes.
- Get Piece Media
Returns a mail piece's envelope images and content scans, with download URLs.
- Get Piece Scans
Lists the scans of a mail piece, with status and page counts.
- Get Piece Shredding
Returns the pending or completed shred request for a mail piece.
- Get Shipping Rates
Returns live shipping rates for sending mail pieces to a shipping address.
- Get User
Returns one Virtual Mail user's details.
- List Check Deposit Bank Accounts
Lists the bank accounts an inbox's checks can be deposited to.
- List Check Deposit Requests
Lists the check deposit requests for an inbox.
- List Inboxes
Lists the mail inboxes a user can access, with piece counts.
- List Inbox Pieces
Lists the mail pieces in an inbox, with optional filters.
- List Inbox Tags
Lists the tags defined for an inbox.
- List Piece Check Deposit Requests
Lists the check deposit requests for one mail piece.
- List Shipments
Lists the shipments for an inbox.
- List Shipping Addresses
Lists the shipping addresses saved for an inbox.
- List User Accounts
Lists the Virtual Mail accounts a user belongs to.
- List User Recipients
Lists the mail recipients a user has across their inboxes.
- Remove Tag from Piece
Removes one tag from a mail piece.
- Request Check Deposit
Requests a deposit of the checks in a mail piece to one of the inbox's bank accounts.
- Request Piece Shredding
Requests that a mail piece be shredded, optionally deleting its scans.
- Unarchive Piece
Restores an archived mail piece to the default inbox view.
- Update Tag
Renames a tag in an inbox.
- Add attribute
Creates a new attribute in an Optimizely project, which can be used to target audiences.
- Add audience
Adds a new audience to an Optimizely project and returns the id of the audience that was created.
- Add campaign
Creates a new personalization campaign in an Optimizely project and returns its id.
- Add experiment
Creates a new experiment in an Optimizely project and returns its id.
- Add feature
Creates a new feature flag in an Optimizely project. Works only with legacy Full Stack projects, and returns the id of the new feature.
- Add page
Creates a new page in an Optimizely project, defining the URL where experiments and campaigns can run and when it activates. Returns the created page.
- Add project
Creates a new Optimizely project in your account and returns the created project.
- Delete experiment
Archives an Optimizely experiment by its ID. Optimizely keeps archived experiments rather than permanently removing them.
- Get audience
Returns a single Optimizely audience by its ID, including its name, targeting conditions and status. An error occurs if the audience is not found.
- Get campaign
Returns a single Optimizely campaign by its ID, including its status, metrics, targeting and custom field values.
- Get experiment
Returns a single experiment by its ID, including its status, variations, metrics and targeting. Fails if the experiment is not found.
- Get experiment results
Returns the results of an Optimizely experiment, including metric performance per variation, reach and statistical significance, optionally limited to a time range or visitor segment.
- Get feature
Returns a single feature by its ID, including its variables and its rollout rules in each environment. Works only with legacy Full Stack projects.
- Get project
Returns all the properties of a single Optimizely project, including its platform, status and web snippet settings.
- List attributes
Returns all attributes in an Optimizely project, including their keys, names and archived status.
- List audiences
Returns the audiences in an Optimizely project, optionally filtered by archived or journey status.
- List campaigns
Returns all campaigns in an Optimizely project, optionally narrowed by journey or archived status.
- List environments
Returns all of the environments that have been created in an Optimizely project.
- List events
Returns all events in an Optimizely project, including pageview events and, optionally, classic goals.
- List experiments
Returns all experiments in an Optimizely project or campaign.
- List features
Returns all features created in an Optimizely project, including their variables and per-environment rollout rules.
- List pages
Returns the pages defined in an Optimizely project, optionally including single-use pages generated for campaign URL targeting.
- List projects
Returns all the projects in your Optimizely account, with their settings and status.
- Update campaign
Updates an existing Optimizely campaign's details, targeting and metrics, and can publish, start, pause, resume or unarchive it. Returns the updated campaign.
- Update experiment
Updates an Optimizely experiment's settings, such as its name, audiences, metrics, variations and schedule, and can optionally publish, start, pause, resume or unarchive it. Returns the updated experiment.
- Update feature
Updates an existing feature's name, key, description, variables, environment rollout rules or archived state, and returns the updated feature.
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
Earth Class Mail and Optimizely, answered
What can start an automation from Earth Class Mail?
Any of Earth Class Mail's 1 trigger in the catalog, including New Scan Completed. Describe the moment in plain language and your agent picks the right one.
What can your agent do in Optimizely when something happens in Earth Class Mail?
Any of Optimizely's 26 actions, including Update campaign, Update experiment, Update feature and Add attribute. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Optimizely to Earth Class Mail?
Optimizely has no triggers in the catalog today, so automations start in Earth Class Mail. If you need the other direction, ask: your agent reads Optimizely's API documentation and adds it.
Do I have to build a connector for Earth Class Mail or Optimizely?
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 Earth Class Mail and Optimizely 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.