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Servidor MCP de Saber • Applied AI for Enterprise

Quais servidores do registro oficial de MCP são de Saber • Applied AI for Enterprise, se respondem e o que oferecem. Um programa verificou cada item; nada foi copiado da página do produto.

lido em 2026-10-13

← Voltar para Saber • Applied AI for Enterprise

De quem é o servidor
  • Nome no registroapp.saber.mcp/saberverificado no registro MCP

O nome no registro fica sob saber.app. O registro só libera esse espaço de nomes para quem prova controle do domínio por DNS ou HTTP.

Quando perguntamosverificado em 2026-10-13
  • Estadorespondeverificado em 2026-10-13
  • Ferramentas76
  • O servidor se chamasaber
  • Versão do servidor1.0.0
  • Versão do protocolo2025-06-18

Em 2026-10-13 o servidor respondeu a initialize e tools/list sem login. Primeira resposta em 476 ms.

Ferramentas que oferece76 ferramentas · lido em 2026-10-13
  • contacts-enrich_work_email_batch

    Submit a bulk find-email batch

  • contacts-enrich_work_email_batch_get

    Poll a bulk find-email batch

  • companies-enrich_custom

    Enrich a company with a custom question

  • companies-enrich_custom_batch

    Enrich many companies with one shared custom question — one run per target domain. Capped at 100 targets per call; split a larger list into successive calls of 100 or fewer. Returns 202 immediately; poll each run with enrichment_runs-get…

  • contacts-enrich_custom

    Enrich a contact with a custom question

  • companies-resolve-domain

    Resolve a company name to its official domain. Supply country and article context for ambiguous names. Branch on status; ambiguous candidates are alternatives, not a ranked answer. Allow up to four minutes.

  • companies-enrich_firmographics

    Enrich a company with firmographics

  • companies-enrich_funding

    Enrich a company with funding status

  • companies-enrich_mna

    Enrich a company with M&A activity

  • companies-enrich_open_jobs

    Enrich a company with open jobs

  • companies-enrich_tech_stack

    Enrich a company with its tech stack

  • contacts-enrich_work_email

    Find a contact's verified work email

  • enrichment_types-list

    List enrichment types

  • enrichment_runs-list

    List enrichment runs

  • enrichment_runs-get

    Get an enrichment run

  • companies-list_summaries

    List company summaries

  • companies-generate_summary

    Generate a company summary

  • enrichment_templates-list

    List enrichment templates

  • enrichment_templates-create

    Create an enrichment template

  • enrichment_templates-get

    Get an enrichment template

  • enrichment_templates-update

    Update an enrichment template

  • enrichment_templates-delete

    Delete an enrichment template

  • monitors-list

    List monitors

  • monitors-create

    Create a monitor

  • monitors-get

    Get a monitor

  • monitors-update

    Update a monitor

  • monitors-delete

    Delete a monitor

  • monitors-pause

    Pause a monitor

  • monitors-resume

    Resume a monitor

  • monitors-trigger

    Trigger a monitor run

  • monitors-list_signals

    List a monitor's signals

  • monitors-list_actions

    List monitor actions

  • monitors-create_action

    Create a monitor action

  • monitors-get_action

    Get a monitor action

  • monitors-update_action

    Update a monitor action

  • monitors-delete_action

    Delete a monitor action

  • monitors-pause_action

    Pause a monitor action

  • monitors-resume_action

    Resume a monitor action

  • contacts-get_research_by_external_id

    Retrieve contact research using an external system ID, such as a HubSpot contact ID, plus the source name.

  • contacts-create_research

    Start asynchronous AI research for a contact using LinkedIn and other sources, then poll the research ID for results.

  • contacts-get_research

    Retrieve the current status and AI-generated insights for a contact research job when it has completed.

  • contacts-search

    Search for contacts by person, role, tenure, industry, company headcount, company type, or recent job change using the API key owner's Sales Navigator connection.

  • contact_lists-list

    List saved contact lists with pagination.

  • contact_lists-create

    Run a LinkedIn Sales Navigator search, store a point-in-time contact snapshot, and return contact list metadata.

  • contact_lists-get

    Retrieve contact list metadata and the stored contact count.

  • contact_lists-update

    Rename a saved contact list without changing its stored contact snapshot.

  • contact_lists-delete

    Permanently delete a contact list and its stored contact snapshots.

  • contact_lists-get_contacts

    Page through contacts stored in a saved list without making a new Sales Navigator request.

  • connectors-list

    List connectors and their connection status

  • credits-get_balance

    Check how many Saber API credits your organization has left in the current billing period.

  • organisation-get

    Get your organisation profile

  • organisation-update

    Update your organisation profile

  • company_lists-import

    Import companies from a HubSpot list, view, or segment into a saved Saber company list.

  • company_lists-count_preview

    Estimate how many companies match a list filter and how many credits the list operation would cost.

  • company_lists-list

    List saved company lists with pagination.

  • company_lists-create

    Save a company filter as a reusable list for review, enrichments, scoring, export, and CRM workflows.

  • company_lists-get

    Retrieve company list metadata, including its filter and current company count.

  • company_lists-update

    Update a company list name or filter and refresh cached matching companies.

  • company_lists-delete

    Delete a saved company list and remove its reusable segment boundary.

  • company_lists-get_companies

    Page through companies that match a saved company list filter.

As primeiras 60 de 76, na ordem do servidor.

Como conectar

Adicione o servidor à configuração do seu cliente MCP. Claude Desktop, Cursor e a maioria dos outros clientes leem este formato:

{
  "mcpServers": {
    "saber": {
      "type": "http",
      "url": "https://mcp.saber.app/mcp"
    }
  }
}

Cada linha é algo que um programa encontrou ao procurar: o registro, a resposta do próprio servidor, uma especificação que se lê. Linha ausente quer dizer que não encontramos, não que não exista.