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sharonc70886

HubSpot MCP Server

by sharonc70886

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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to interact with HubSpot CRM data, including contacts, companies, and engagement activities, with built-in vector storage and caching for semantic search and improved response times.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to interact with HubSpot CRM data, providing tools to create and retrieve contacts, companies, activities, and conversations, plus semantic search across previously retrieved data. Built-in vector storage and caching help overcome HubSpot API limitations and improve response times.
      -
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to interact with HubSpot CRM data, including contacts, companies, engagement, conversations, and semantic search over previously retrieved data, with vector storage and caching to overcome API limitations and improve response times.
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to directly access and manage HubSpot CRM data, including contacts, companies, and conversations, with semantic search and caching for improved performance.
      1
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to read and write HubSpot CRM data, including creating contacts and companies with duplicate prevention, retrieving active records, company activity, and recent conversations. Built-in vector storage and caching add semantic search across previously retrieved data while working around HubSpot API limitations.
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to interact with HubSpot CRM data, providing tools for managing contacts and companies, retrieving activity and conversations, and performing semantic search with vector storage and caching for improved performance.
      MIT