--- title: "Connect Metaview and Openlayer - APIANT.ai" description: "When \"New Conversation\" fires in Metaview, your agent runs \"Publish Record\" in Openlayer." canonical: "https://apiant.ai/connect/metaview-to-openlayer" --- # Connect Metaview and Openlayer When **New Conversation** fires in [Metaview](https://apiant.ai/connections/metaview), your agent runs **Publish Record** in [Openlayer](https://apiant.ai/connections/openlayer), or **New Project** in Openlayer to **Send sourcing message** in Metaview. Describe the whole flow and it is built, tested on every scenario and kept running. Metaview **1** trigger Metaview **31** actions Openlayer **2** triggers Openlayer **22** actions What the catalog holds today. Ask for anything missing and your agent reads the API documentation and adds it. ## What do you want Metaview and Openlayer 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 Metaview and Openlayer can do together ### From Metaview to Openlayer - When **New Conversation** in Metaview then **Publish Record** in Openlayer - When **New Conversation** in Metaview then **Create Project** in Openlayer ### From Openlayer to Metaview - When **New Project** in Openlayer then **Send sourcing message** in Metaview - When **New Test Result** in Openlayer then **Create AI field** in Metaview 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 Metaview and Openlayer ## Triggers and actions 3 triggers · 53 actions - Trigger **New Conversation** Triggers when a new conversation is available in Metaview. - Action **Build chart** Creates a visual chart from conversation data with optional filtering, grouping, and timezone adjustment. - Action **Check enrichment status** Returns enrichment status and usage metrics for candidate data, with options to scope by person or enrichment type. - Action **Create AI field** Creates a new AI-powered field that analyzes conversations to answer a custom question, with configurable value type. - Action **Create report** Builds a report from conversations with filtering, metrics, grouping, and custom field inclusion. - Action **Fetch candidates** Looks up candidate information by ID, LinkedIn URL, email, or phone number in bulk. - Action **Find candidate's sequences** Finds which outreach sequences a candidate is enrolled in using their ID, LinkedIn URL, email, or phone. - Action **Get note template** Returns a note generation template by ID for use in automating note creation. - Action **Get search details** Retrieves configuration and results for a sourcing search by ID. - Action **Get sourcing analytics** Returns sourcing analytics and metrics grouped by user, search, or date range with filtering options. - Action **Get sourcing messages** Lists outreach messages sent in a sourcing search with pagination support. - Action **Get User Context** Returns information about the connected user account and available features. - Action **Give sourcing feedback** Submits feedback on candidates from a sourcing search, optionally linking to the search that sourced them. - Action **Group conversations** Groups recorded conversations by a field (like recruiter, stage, or outcome) and returns counts and metrics per group. - Action **List application reviews** Returns a list of application reviews, optionally filtering by name or showing only active ones. - Action **List ATS jobs** Returns ATS job postings, optionally filtered by job title. - Action **List ATS stages** Returns hiring pipeline stages for a job, or workspace-level stages if no job is specified. - Action **List available fields** Returns available data fields for reports, optionally filtered by name. - Action **List candidates in sequence** Returns candidates enrolled in a sequence, with optional enrollment status and per-step delivery details. - Action **List field values** Returns distinct values for a field across conversations, useful for building filters or dropdowns. - Action **List mailboxes** Returns email mailboxes available in this Metaview workspace. - Action **List note template folders** Returns folders of note templates organized in the workspace. - Action **List note templates** Returns note templates available in the workspace, optionally filtered by name or with full section details. - Action **List sequences** Returns candidate sequences, optionally filtered by name, creator, or status; includes full configuration if requested. - Action **List sourcing candidates** Returns candidates from a specified sourcing search with optional filtering by pack, feedback status, and detail level. - Action **List sourcing searches** Returns all sourcing searches with optional pagination. - Action **Manage candidate sequence** Adds, pauses, resumes, cancels, removes, or updates candidate enrollments in a recruitment sequence. - Action **Manage note template** Creates, updates, or deletes call note templates with customizable sections for structured note-taking. - Action **Manage sequence** Creates, updates, duplicates, or deletes recruitment sequences. - Action **Search conversations** Searches call conversations with optional filtering, sorting, and field selection. - Action **Search reports** Searches reports by name, category, or ID with optional full configuration details. - Action **Send sourcing message** Starts or continues a sourcing or research search with a message to the AI agent. - Trigger **New Project** Triggers when a new project is created in your Openlayer workspace. - Trigger **New Test Result** Triggers when a new test result is available for a data source. Useful for alerting on passing or failing model tests. - Action **Create Data Source** Creates a new data source in a project for streaming production data to Openlayer. - Action **Create Project** Creates a new AI or ML project in your Openlayer workspace. - Action **Create Test** Creates a data quality test in a project. Checks for duplicate rows, null values, or row counts. - Action **Delete Inference Pipeline** Delete an inference pipeline by its ID. - Action **Delete Project** Delete a project by its ID. - Action **Delete Test** Delete a test by its ID. - Action **Evaluate Test** Evaluates a test for a specific time range. Use after publishing records to get immediate results. - Action **Find Data Source** Finds a data source (inference pipeline) by name in a project. - Action **Find Project** Finds a project by name in your Openlayer workspace. - Action **Find Test Result** Finds test results for a data source, including whether each test passed or failed. Filter by outcome or test type to branch an automation on the result. - Action **Get Inference Pipeline** Retrieve the details around a specific inference pipeline. - Action **Get Project** Retrieves one project by its id. Openlayer has no single-project endpoint, so this reads the workspace's first 100 projects and returns the one matching the id. - Action **Get Test** Retrieve a test by ID. - Action **Get Test Result** Retrieves one test result by its id. Openlayer has no single-result endpoint, so this reads the data source's 100 most recent results and returns the matching one. - Action **List Inference Pipelines** List the authenticated user's inference pipelines under a project. - Action **List Projects** Lists the projects in your Openlayer workspace, optionally narrowed to one kind of project. Returns up to 100 projects. - Action **List Test Results** List all results for a test/goal under an inference pipeline. - Action **List Tests** Lists the tests in a project, optionally narrowed by kind, archived state or monitoring mode. Returns up to 100 tests. - Action **Publish Record** Publishes an LLM inference record to a data source for monitoring. Streams the model input, output, and metadata to Openlayer. - Action **Update Inference Pipeline** Update an inference pipeline. - Action **Update Project** Update a project. - Action **Update Test** Update a test (partial updates allowed). ## Each app on its own - [ **Metaview** Metaview writes your recruiting notes for you so you can save time and focus on high-quality interactions...](https://apiant.ai/connections/metaview) - [ **Openlayer** Openlayer is a platform for monitoring, evaluating, and testing AI and ML models in production.](https://apiant.ai/connections/openlayer) Reviews ## What our customers say ## More from Metaview - [ **Metaview to Salesforce** Salesforce is a leading enterprise customer relationship management (CRM) platform.](https://apiant.ai/connect/metaview-to-salesforce) - [ **Metaview to Slack** Slack is a messaging platform for teams. Post messages, manage channels, users, reminders, and react to...](https://apiant.ai/connect/metaview-to-slack) - [ **Metaview to Google Calendar** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/metaview-to-google-calendar) - [ **Metaview to Stripe** Stripe is a payment processing platform for online businesses.](https://apiant.ai/connect/metaview-to-stripe) - [ **Metaview to Shopify** Shopify is a commerce platform for online stores and retail point-of-sale.](https://apiant.ai/connect/metaview-to-shopify) - [ **Metaview to QuickBooks Online** QuickBooks Online accounting — manage customers, invoices, bills, payments, vendors, expenses, and more via...](https://apiant.ai/connect/metaview-to-quickbooks-online) ## More into Openlayer - [ **Airtable to Openlayer** Organize anything with Airtable, a modern database created for everyone.](https://apiant.ai/connect/airtable-to-openlayer) - [ **Google Sheets to Openlayer** Google Sheets is Google's online spreadsheet app for creating, editing and sharing spreadsheets.](https://apiant.ai/connect/google-sheets-to-openlayer) - [ **Gmail to Openlayer** Gmail is Google’s email service, featuring spam protection, search functions, and seamless integration with...](https://apiant.ai/connect/gmail-to-openlayer) - [ **Google Calendar to Openlayer** Google Calendar is a time management tool providing scheduling features, event reminders, and integration...](https://apiant.ai/connect/google-calendar-to-openlayer) - [ **Google Drive to Openlayer** Google Drive is a cloud storage solution for uploading, sharing, and collaborating on files across devices...](https://apiant.ai/connect/google-drive-to-openlayer) - [ **Mailchimp to Openlayer** Mailchimp marketing automation and email platform.](https://apiant.ai/connect/mailchimp-to-openlayer) Questions ## Metaview and Openlayer, answered ### ### What can start an automation from Metaview? Any of Metaview's 1 trigger in the catalog, including New Conversation. Describe the moment in plain language and your agent picks the right one. ### ### What can your agent do in Openlayer when something happens in Metaview? Any of Openlayer's 22 actions, including Create Data Source, Create Project, Create Test and Update Inference Pipeline. Your agent maps the data both ways and tests every scenario before it ships. ### ### Can it also run from Openlayer to Metaview? Yes. When something happens in Openlayer, your agent can act in Metaview too. This page covers both directions: Openlayer's triggers and Metaview's actions are listed here as well. ### ### Do I have to build a connector for Metaview or Openlayer? 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 Metaview and Openlayer 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.