mcp-hubspot MCP Server
baryhuang/mcp-hubspot
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.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
baryhuang/mcp-hubspot is a Python MCP server licensed under MIT. 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. Topics: crm, mcp-server, hubspot, faiss, faiss-vector-database, semantic-search.
Ranked #3695 out of 30046 indexed tools.
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121 stars → growing community
Last commit 5mo ago → stale
3/5 issues closed → decent issue management
5 contributors → small team
No dependents → no downstream usage
Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →
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From the README
# 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 conRead full README on GitHub →
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