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mcp-hubspot MCP Server

baryhuang/mcp-hubspot

Score: 48.6 Rank #3695 Search & RAG
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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.

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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.

Ecosystem

Python MIT
crmmcp-serverhubspotfaissfaiss-vector-databasesemantic-search

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 121

121 stars → growing community

Freshness 25% 5mo ago

Last commit 5mo ago → stale

Issue Health 25% 60%

3/5 issues closed → decent issue management

Contributors 10% 5

5 contributors → small team

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 61
Description Detailed
License MIT

Weights: Freshness 25% · Issue Health 25% · Dependents 25% · Stars 15% · Contributors 10% · How we score →

How to Improve

Freshness high impact

Last commit was 159 days ago — a recent commit would boost your freshness score

Dependents medium impact

No downstream dependents detected yet — adoption by other projects is the strongest trust signal

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Matched Queries

"mcp server""mcp-server""model context protocol""model-context-protocol"

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 con
Read full README on GitHub →

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