HubSpot MCP Server

Overview

A Model Context Protocol (MCP) server implementation that provides integration with HubSpot CRM. This server enables AI models to interact with HubSpot data and operations through a standardized interface.

For more information about the Model Context Protocol and how it works, see Anthropic's MCP documentation.

Components

Resources

No resources are implemented. At the end of the day, tools are all we need.

Example Prompts

• Create Hubspot contacts by copying from LinkedIn profile webpage:

  Create HubSpot contacts and companies from following:
  
  John Doe
  Software Engineer at Tech Corp
  San Francisco Bay Area • 500+ connections
  
  Experience
  Tech Corp
  Software Engineer
  Jan 2020 - Present · 4 yrs
  San Francisco, California
  
  Previous Company Inc.
  Senior Developer
  2018 - 2020 · 2 yrs
  
  Education
  University of California, Berkeley
  Computer Science, BS
  2014 - 2018
  

• Get latest activities for your company: What's happening latestly with my pipeline?

Tools

The server offers several tools for managing HubSpot objects:

Contact Management Tools

• hubspot_create_contact
• Create a new contact in HubSpot (checks for duplicates before creation)
• Input:
  • firstname (string): Contact's first name
  • lastname (string): Contact's last name
  • email (string, optional): Contact's email address
  • properties (dict, optional): Additional contact properties
  • Example: {"phone": "123456789", "company": "HubSpot"}
• Behavior:
  • Checks for existing contacts with the same first name and last name
  • If company is provided in properties, also checks for matches with the same company
  • Returns existing contact details if a match is found
  • Creates new contact only if no match is found

Company Management Tools

• hubspot_create_company

• Create a new company in HubSpot (checks for duplicates before creation)

• Input:

  • name (string): Company name
  • properties (dict, optional): Additional company properties
  • Example: {"domain": "example.com", "industry": "Technology"}

• Behavior:

  • Checks for existing companies with the same name
  • Returns existing company details if a match is found
  • Creates new company only if no match is found

• hubspot_get_company_activity

• Get activity history for a specific company

• Input:

  • company_id (string): HubSpot company ID

• Returns: Array of activity objects

Engagement Tools

• hubspot_get_recent_engagements

• Get recent engagement activities across all contacts and companies

• Input:

  • days (integer, optional): Number of days to look back (default: 7)
  • limit (integer, optional): Maximum number of engagements to return (default: 50)

• Returns: Array of engagement objects with full metadata

• hubspot_get_recent_companies

• Get most recently active companies from HubSpot

• Input:

  • limit (integer, optional): Maximum number of companies to return (default: 10)

• Returns: Array of company objects with full metadata

• hubspot_get_recent_contacts

• Get most recently active contacts from HubSpot

• Input:

  • limit (integer, optional): Maximum number of contacts to return (default: 10)

• Returns: Array of contact objects with full metadata

Setup

Installing via Smithery

To install buryhuang/mcp-hubspot for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install buryhuang/mcp-hubspot --client claude

Prerequisites

You'll need a HubSpot access token. You can obtain this by:

1. Creating a private app in your HubSpot account: Follow the HubSpot Private Apps Guide

• Go to your HubSpot account settings
• Navigate to Integrations > Private Apps
• Click "Create private app"
• Fill in the basic information:
  • Name your app
  • Add description
  • Upload logo (optional)
• Define required scopes:
  • tickets
  • crm.objects.contacts.write
  • crm.objects.contacts.sensitive.read
  • crm.objects.companies.sensitive.read
  • sales-email-read
  • crm.objects.deals.sensitive.read
  • crm.objects.companies.write
  • crm.objects.companies.read
  • crm.objects.deals.read
  • crm.objects.deals.write
  • crm.objects.contacts.read
• Review and create the app
• Copy the generated access token

Note: Keep your access token secure and never commit it to version control.

Docker Installation

You can either build the image locally or pull it from Docker Hub. The image is built for the Linux platform.

Supported Platforms

• Linux/amd64
• Linux/arm64
• Linux/arm/v7

Option 1: Pull from Docker Hub

docker pull buryhuang/mcp-hubspot:latest

Option 2: Build Locally

docker build -t mcp-hubspot .

Run the container:

docker run \
  -e HUBSPOT_ACCESS_TOKEN=your_access_token_here \
  buryhuang/mcp-hubspot:latest

You can also pass the access token directly as a command-line argument:

docker run \
  buryhuang/mcp-hubspot:latest \
  --access-token your_access_token_here

Cross-Platform Publishing

To publish the Docker image for multiple platforms, you can use the docker buildx command. Follow these steps:

1. Create a new builder instance (if you haven't already):

   docker buildx create --use

2. Build and push the image for multiple platforms:

   docker buildx build --platform linux/amd64,linux/arm64,linux/arm/v7 -t buryhuang/mcp-hubspot:latest --push .

3. Verify the image is available for the specified platforms:

   docker buildx imagetools inspect buryhuang/mcp-hubspot:latest

Usage with Claude Desktop

Installing via Smithery

To install mcp-hubspot for Claude Desktop automatically via Smithery:

npx -y @smithery/cli@latest install mcp-hubspot --client claude

Docker Usage

{
  "mcpServers": {
    "hubspot": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "HUBSPOT_ACCESS_TOKEN=your_access_token_here",
        "buryhuang/mcp-hubspot:latest"
      ]
    }
  }
}

You can also use the command-line argument:

{
  "mcpServers": {
    "hubspot": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "buryhuang/mcp-hubspot:latest",
        "--access-token",
        "your_access_token_here"
      ]
    }
  }
}

Development

To set up the development environment:

pip install -e .

License

This project is licensed under the MIT License.