Integration
Connect Metaview to Cubo Crm
When something happens in Metaview, your agent does the next thing in Cubo Crm. Describe it 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 Metaview and Cubo Crm to do together?
Ask the assistant
Connect your AI client
Give your AI client this address.
https://mcp.apiant.aiAny 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 Metaview can start in Cubo Crm
When New Conversation in Metaview
then Add activity in Cubo Crm
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 Cubo Crm
Triggers and actions 1 trigger · 51 actions
- New Conversation
Triggers when a new conversation is available in Metaview.
- Build chart
Creates a visual chart from conversation data with optional filtering, grouping, and timezone adjustment.
- Check enrichment status
Returns enrichment status and usage metrics for candidate data, with options to scope by person or enrichment type.
- Create AI field
Creates a new AI-powered field that analyzes conversations to answer a custom question, with configurable value type.
- Create report
Builds a report from conversations with filtering, metrics, grouping, and custom field inclusion.
- Fetch candidates
Looks up candidate information by ID, LinkedIn URL, email, or phone number in bulk.
- Find candidate's sequences
Finds which outreach sequences a candidate is enrolled in using their ID, LinkedIn URL, email, or phone.
- Get note template
Returns a note generation template by ID for use in automating note creation.
- Get search details
Retrieves configuration and results for a sourcing search by ID.
- Get sourcing analytics
Returns sourcing analytics and metrics grouped by user, search, or date range with filtering options.
- Get sourcing messages
Lists outreach messages sent in a sourcing search with pagination support.
- Get User Context
Returns information about the connected user account and available features.
- Give sourcing feedback
Submits feedback on candidates from a sourcing search, optionally linking to the search that sourced them.
- Group conversations
Groups recorded conversations by a field (like recruiter, stage, or outcome) and returns counts and metrics per group.
- List application reviews
Returns a list of application reviews, optionally filtering by name or showing only active ones.
- List ATS jobs
Returns ATS job postings, optionally filtered by job title.
- List ATS stages
Returns hiring pipeline stages for a job, or workspace-level stages if no job is specified.
- List available fields
Returns available data fields for reports, optionally filtered by name.
- List candidates in sequence
Returns candidates enrolled in a sequence, with optional enrollment status and per-step delivery details.
- List field values
Returns distinct values for a field across conversations, useful for building filters or dropdowns.
- List mailboxes
Returns email mailboxes available in this Metaview workspace.
- List note template folders
Returns folders of note templates organized in the workspace.
- List note templates
Returns note templates available in the workspace, optionally filtered by name or with full section details.
- List sequences
Returns candidate sequences, optionally filtered by name, creator, or status; includes full configuration if requested.
- List sourcing candidates
Returns candidates from a specified sourcing search with optional filtering by pack, feedback status, and detail level.
- List sourcing searches
Returns all sourcing searches with optional pagination.
- Manage candidate sequence
Adds, pauses, resumes, cancels, removes, or updates candidate enrollments in a recruitment sequence.
- Manage note template
Creates, updates, or deletes call note templates with customizable sections for structured note-taking.
- Manage sequence
Creates, updates, duplicates, or deletes recruitment sequences.
- Search conversations
Searches call conversations with optional filtering, sorting, and field selection.
- Search reports
Searches reports by name, category, or ID with optional full configuration details.
- Send sourcing message
Starts or continues a sourcing or research search with a message to the AI agent.
- Add activity
Create an activity. POST activities; docs "Criar nova atividade".
- Add deal
Create a deal (Negociação). POST on the deals resource; see docs.cubosuite.com.br "Criar novo negócio".
- Add note
Create a note (Anotação). POST notes; docs "Criar nova anotação".
- Add organization
Create an organization. POST organizations; docs "Criar nova organização".
- Add person
Create a person (Pessoa). POST on persons; docs "Criar nova pessoa".
- Add product
Create a product. POST products; docs "Criar novo produto".
- Delete deal
Delete a deal by ID. DELETE on deals/{id}; docs "Excluir negócio".
- Delete person
Delete a person by ID.
- Get deal
Get a deal by ID. GET on deals/{id}; docs.cubosuite.com.br "Obter negócio por ID".
- Get organization
Get an organization by ID.
- Get person
Get a person by ID.
- List organizations
List all organizations. GET organizations; docs "Listar todas as organizações".
- List people
List all people. GET persons; docs "Listar todas as pessoas".
- List pipelines
List all pipelines (Funis). GET pipelines; docs "Listar todos os funis".
- List products
List all products. GET products; docs "Listar todos os produtos".
- List stages
List all stages of a pipeline by pipeline ID; docs "Buscar todos os estágios do funil pelo ID".
- Update activity
Update an activity by ID.
- Update deal
Update a deal by ID. PUT on deals/{id}; docs "Atualizar negócio".
- Update organization
Update an organization by ID.
- Update person
Update a person by ID.
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
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Questions
Metaview and Cubo Crm, 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 Cubo Crm when something happens in Metaview?
Any of Cubo Crm's 20 actions, including Update activity, Update deal, Update organization and Update person. Your agent maps the data both ways and tests every scenario before it ships.
Can it also run from Cubo Crm to Metaview?
Cubo Crm has no triggers in the catalog today, so automations start in Metaview. If you need the other direction, ask: your agent reads Cubo Crm's API documentation and adds it.
Do I have to build a connector for Metaview or Cubo Crm?
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.
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.