HubSpot
Enables AI assistants to interact with HubSpot CRM data, leveraging vector storage and caching for improved performance.
Acerca de
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.
Características Principales
- Vector storage with FAISS for semantic search across interactions
- Duplicate prevention for contact and company creation
- Persistent data storage between sessions
- Direct access to HubSpot CRM data for AI assistants
- Embedding caching using SentenceTransformer
- 50 GitHub stars
Casos de Uso
- Creating HubSpot contacts and companies from unstructured data (e.g., LinkedIn profiles)
- Answering questions about pipeline status using semantic search
- Retrieving company activity and conversation history for AI-driven summarization
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