HubSpot

Name: HubSpot
Author: peakmojo

bypeakmojo

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117

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Marketing Automation

API Development

Data Science & ML

Enables AI assistants to interact with HubSpot CRM data, leveraging vector storage and caching for improved performance.

Connect AI models, such as Claude, directly to your HubSpot CRM data with this Model Context Protocol (MCP) server. It provides tools for managing contacts, companies, and engagement data, overcoming HubSpot API limitations through built-in vector storage and caching. Utilizing FAISS for efficient semantic search and offering persistent storage, it ensures reliable performance and data retention across sessions. Simplifies AI-driven interactions with HubSpot, allowing for complex CRM workflows to be automated and streamlined.

Key Features

01Vector storage with FAISS for semantic search across interactions

02Duplicate prevention for contact and company creation

03Persistent data storage between sessions

04Direct access to HubSpot CRM data for AI assistants

05Embedding caching using SentenceTransformer

0650 GitHub stars

Use Cases

01Creating HubSpot contacts and companies from unstructured data (e.g., LinkedIn profiles)

02Answering questions about pipeline status using semantic search

03Retrieving company activity and conversation history for AI-driven summarization