mcp-hubspot
by baryhuang
An MCP server implementation that seamlessly connects Claude and other AI models to HubSpot CRM data. Provides tools for managing contacts, companies, and engagement activities through standardized interfaces. Simplifies contact creation, duplicate detection, and pipeline management with minimal configuration.
What is mcp-hubspot
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 โข 500+ connections Experience Tech Corp Software Engineer Jan 2020 - Present ยท 4 yrs San Francisco, California Previous Company Inc. Senior Developer 2018 - 2020 ยท 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 namelastname
(string): Contact's last nameemail
(string, optional): Contact's email addressproperties
(dict, optional): Additional contact properties- Example:
{"phone": "123456789", "company": "HubSpot"}
- Example:
- 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 nameproperties
(dict, optional): Additional company properties- Example:
{"domain": "example.com", "industry": "Technology"}
- Example:
- 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:
- 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:
-
Create a new builder instance (if you haven't already):
docker buildx create --use
-
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 .
-
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.
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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