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HubSpot MCP Server

HubSpot MCP Server

[Docker Hub]

Overview

A Model Context Protocol (MCP) server that enables AI assistants to interact with HubSpot CRM data. This server bridges AI models with your HubSpot account, providing direct access to contacts, companies, and engagement data. Built-in vector storage and caching mechanisms help overcome HubSpot API limitations while improving response times.

Our implementation prioritizes the most frequently used, high-value HubSpot operations with robust error handling and API stability. Each component is optimized for AI-friendly interactions, ensuring reliable performance even during complex, multi-step CRM workflows.

Related MCP server: HubSpot MCP Server

Why MCP-HubSpot?

  • Direct CRM Access: Connect Claude and other AI assistants to your HubSpot data without intermediary steps

  • Context Retention: Vector storage with FAISS enables semantic search across previous interactions

  • Zero Configuration: Simple Docker deployment with minimal setup

Example Prompts

Create HubSpot contacts and companies from this LinkedIn profile:
[Paste LinkedIn profile text]
What's happening lately with my pipeline?

Available Tools

The server offers tools for HubSpot management and data retrieval:

Tool

Purpose

hubspot_create_contact

Create contacts with duplicate prevention

hubspot_create_company

Create companies with duplicate prevention

hubspot_get_company_activity

Retrieve activity for specific companies

hubspot_get_active_companies

Retrieve most recently active companies

hubspot_get_active_contacts

Retrieve most recently active contacts

hubspot_get_recent_conversations

Retrieve recent conversation threads with messages

hubspot_search_data

Semantic search across previously retrieved HubSpot data

Performance Features

  • Vector Storage: Utilizes FAISS for efficient semantic search and retrieval

  • Thread-Level Indexing: Stores each conversation thread individually for precise retrieval

  • Embedding Caching: Uses SentenceTransformer with automatic caching

  • Persistent Storage: Data persists between sessions in configurable storage directory

  • Multi-platform Support: Optimized Docker images for various architectures

Setup

Prerequisites

You'll need a HubSpot access token with these scopes:

  • crm.objects.contacts (read/write)

  • crm.objects.companies (read/write)

  • sales-email-read

Docker Configuration

For manual configuration in Claude desktop:

{
  "mcpServers": {
    "hubspot": {
      "command": "docker",
      "args": [
        "run", "-i", "--rm",
        "-e", "HUBSPOT_ACCESS_TOKEN=your_token",
        "-v", "/path/to/storage:/storage",  # Optional persistent storage
        "dennis/mcp-hubspot:latest"
      ]
    }
  }
}

Building Docker Image

To build the Docker image locally:

git clone https://github.com/dennis19741216/AI-assistant-with-HubSpot-CRM.git
cd mcp-hubspot
docker build -t mcp-hubspot .

For multi-platform builds:

docker buildx create --use
docker buildx build --platform linux/amd64,linux/arm64 -t dennis/mcp-hubspot:latest --push .

Development

pip install -e .

Related MCP Connectors

Related MCP Servers

  • 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.
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables AI assistants to interact with HubSpot CRM data by creating contacts and companies, retrieving activity and recent conversations, and performing semantic search across previously retrieved records with built-in caching and vector storage.
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables AI assistants to interact with HubSpot CRM data, including creating contacts and companies, retrieving activity and conversations, and performing semantic search over previously retrieved data. It includes vector storage and caching to improve response times and address HubSpot API limitations.
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables AI assistants to interact with HubSpot CRM data by creating and retrieving contacts, companies, and recent activity, while providing semantic search over stored conversations with vector storage and caching.
    -