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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.
124stars
61forks
Python
crmfaissfaiss-vector-databasehubspotmcp-serversemantic-search
Quality signals
StaleNo testsNo CIThin docsNo licensePopular
AI summary
Auto-generated overview of what this skill does and when to reach for it.
Connect AI assistants directly to HubSpot CRM to read, search, and manage contacts, companies, and conversations with built-in caching and vector storage.
Use this when
- Need to pull HubSpot contacts/companies into an AI workflow
- Want semantic search across past CRM interactions
- Building AI agents that respond to CRM queries
- Need to create/update HubSpot records from AI-generated data
- Working with HubSpot API limits or rate issues
Don't use when
- Only need basic HubSpot API calls without AI integration
- Don’t have a HubSpot access token with required scopes
- Need real-time sync with HubSpot (this is async/on-demand)
Capabilities
- Read contacts, companies, conversations, and activities from HubSpot
- Create/update contacts and companies with duplicate prevention
- Semantic search across past interactions using FAISS vector storage
- Persistent storage of retrieved data between sessions
- Caching of embeddings to speed up repeated queries
- Docker deployment with minimal configuration
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest baryhuang/mcp-hubspotAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx mcp-hubspot
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"mcp-hubspot": {
"command": "uvx",
"args": [
"mcp-hubspot"
]
}
}
}Loading README…
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