Mcp Hubspot
What is Mcp Hubspot
mcp-hubspot is an MCP server implementation that connects AI models, like Claude, to HubSpot CRM data, allowing for seamless interaction and management of contacts, companies, and engagement activities through standardized interfaces.
Use cases
Use cases include creating HubSpot contacts from LinkedIn profiles, retrieving the latest activities related to a company’s pipeline, and managing customer interactions efficiently.
How to use
To use mcp-hubspot, deploy the server and utilize its tools to manage HubSpot objects. You can create contacts, check for duplicates, and manage engagement activities by sending structured prompts to the server.
Key features
Key features include contact creation with duplicate detection, management of companies and engagement activities, and minimal configuration requirements for setup.
Where to use
mcp-hubspot can be used in various fields such as sales, marketing, and customer relationship management, where integration with HubSpot CRM is essential.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Hubspot
mcp-hubspot is an MCP server implementation that connects AI models, like Claude, to HubSpot CRM data, allowing for seamless interaction and management of contacts, companies, and engagement activities through standardized interfaces.
Use cases
Use cases include creating HubSpot contacts from LinkedIn profiles, retrieving the latest activities related to a company’s pipeline, and managing customer interactions efficiently.
How to use
To use mcp-hubspot, deploy the server and utilize its tools to manage HubSpot objects. You can create contacts, check for duplicates, and manage engagement activities by sending structured prompts to the server.
Key features
Key features include contact creation with duplicate detection, management of companies and engagement activities, and minimal configuration requirements for setup.
Where to use
mcp-hubspot can be used in various fields such as sales, marketing, and customer relationship management, where integration with HubSpot CRM is essential.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
HubSpot MCP Server
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.
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
Quick Start
# 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
Docker Configuration
For manual configuration in Claude desktop:
Building Docker Image
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 .
Development
pip install -e .
License
MIT License
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
