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by punkpeye • Workflow & Task Management
An MCP server that lets AI agents interact programmatically with HubSpot (contacts, companies, engagements) and store shared conversation summaries for team collaboration.
Create or deduplicate HubSpot contacts and companies programmatically from scraped profiles or AI-parsed input.
Fetch recent engagement activity and company-specific activity histories to provide up-to-date context during conversations.
Store, retrieve, and share meeting or conversation summaries centrally so managers and teams can access real-time insights.
This project implements a Model Context Protocol (MCP) server integrating with HubSpot CRM, exposing tools to create and manage contacts and companies, fetch recent engagements and activities, and manage a centralized shared space for conversation summaries. It includes duplicate checking for HubSpot objects, Docker and Smithery installation instructions, and a shared_space module that supports CRUD operations and real-time notification hooks. The shared space enables authorized managers to store and retrieve meeting summaries centrally to improve team collaboration and handoffs.
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