Connects Claude directly to your HubSpot CRM through the HubSpot API, exposing tools to create contacts and companies, pull recent activity data, and search conversation threads. Includes FAISS-powered vector storage for semantic search across previously retrieved CRM data, which helps work around HubSpot's API rate limits. Ships as a Docker container and handles the most common CRM operations you'd want an AI assistant to perform. Best when you need Claude to analyze pipeline activity, create records from unstructured data like LinkedIn profiles, or maintain context across multiple CRM interactions without hitting API quotas.
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.
Create HubSpot contacts and companies from this LinkedIn profile:
[Paste LinkedIn profile text]
What's happening lately with my pipeline?
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 |
You'll need a HubSpot access token with these scopes:
# Install via Smithery (recommended)
npx -y @smithery/cli@latest install mcp-hubspot --client claude
# Or pull Docker image directly
docker run -e HUBSPOT_ACCESS_TOKEN=your_token buryhuang/mcp-hubspot:latest
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
"buryhuang/mcp-hubspot:latest"
]
}
}
}
To build the Docker image locally:
git clone https://github.com/buryhuang/mcp-hubspot.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 buryhuang/mcp-hubspot:latest --push .
pip install -e .
MIT License
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