A Model Context Protocol (MCP) server that enables AI assistants to interact with HubSpot CRM data, providing built-in vector storage and caching mechanisms help overcome HubSpot API limitations while improving response times.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"mcp-hubspot": {
"command": "<see-readme>",
"args": []
}
}
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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.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
Click any tool to inspect its schema.
create_contacts_from_linkedinCreate HubSpot contacts and companies from LinkedIn profile information
pipeline_activityRetrieve recent activity and updates from HubSpot sales pipeline
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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