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HubSpot MCP Server

by martini177
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Python
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    • HubSpot MCP Server

      blackhole2100
      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

    • HubSpot MCP Server

      kjeong36780
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to interact with HubSpot CRM data for creating and retrieving contacts, companies, activity, and conversations, with built-in vector storage and caching for faster semantic search.
      -

    • HubSpot MCP Server

      jfqojvbqnd
      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.
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    • HubSpot MCP Server

      sgreen87929
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to interact with HubSpot CRM data by accessing contacts, companies, activity, and conversations, while providing vector-backed semantic search and caching for faster, more reliable workflows.
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    • HubSpot MCP Server

      MichalWatanabe498
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to interact with HubSpot CRM data, including contacts, companies, and engagement information, with built-in vector storage and caching for semantic search and faster responses.
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    • HubSpot MCP Server

      SitaTakeda92
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to interact with HubSpot CRM data, including contacts, companies, and engagement information, with semantic search over previously retrieved data and built-in caching/vector storage to improve response times.
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