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HubSpot MCP Server

@peakmojo

リポジトリ

基本情報

カテゴリ

データと分析

ライセンス

MIT

トランスポート

stdio

作者

peakmojo

HubSpot MCP Server について

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.

#crm#hubspot#semantic-search#faiss#faiss-vector-database#mcp-server

HubSpot MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-hubspot-peakmojo": {
      "command": "npx",
      "args": [
        "-y",
        "@smithery/cli@latest",
        "install",
        "mcp-hubspot",
        "--client",
        "claude"
      ]
    }
  }
}

HubSpot MCP Server のツール

7

Create contacts with duplicate prevention

Create companies with duplicate prevention

Retrieve activity for specific companies

Retrieve most recently active companies

Retrieve most recently active contacts

Retrieve recent conversation threads with messages

Semantic search across previously retrieved HubSpot data

概要

What is HubSpot MCP Server?

A Model Context Protocol (MCP) server that connects AI assistants directly to HubSpot CRM data, enabling interaction with contacts, companies, and engagement records. Built-in FAISS vector storage and caching improve response times and overcome HubSpot API limitations.

How to use HubSpot MCP Server?

Install via Smithery (npx -y @smithery/cli@latest install mcp-hubspot --client claude) or run the Docker image with a HubSpot access token. For Claude desktop, configure the server in mcpServers using the provided Docker command. The token must have scopes for contacts, companies, and sales-email-read.

Key features of HubSpot MCP Server

  • Create contacts and companies with duplicate prevention
  • Retrieve recent company activity and conversations
  • Semantic search across retrieved HubSpot data
  • FAISS vector storage for efficient retrieval
  • Thread-level indexing with embedding caching
  • Persistent storage between sessions

Use cases of HubSpot MCP Server

  • Create HubSpot contacts and companies from a LinkedIn profile
  • Monitor recent pipeline activity and conversation threads
  • Automate CRM data entry without manual steps
  • Query and summarize HubSpot engagement data via AI
  • Enable AI assistants to manage HubSpot workflows

よくある質問

1

What HubSpot scopes does the access token need?

The token requires crm.objects.contacts (read/write), crm.objects.companies (read/write), and sales-email-read.

2

How do I install HubSpot MCP Server?

You can install via Smithery using npx, or pull the Docker image directly with `docker run -e HUBSPOT_ACCESS_TOKEN=your_token buryhuang/mcp-hubspot:latest`.

3

Where does persistent storage data live?

Data persists between sessions in a configurable storage directory. When running Docker, mount a host volume using `-v /path/to/storage:/storage`.

4

How is data retrieved from HubSpot?

The server provides dedicated tools (e.g., `hubspot_get_active_companies`, `hubspot_get_recent_conversations`) and a semantic search tool (`hubspot_search_data`) that uses FAISS vector storage.

5

What transport or authentication does the server use?

Authentication uses a HubSpot access token passed via the `HUBSPOT_ACCESS_TOKEN` environment variable. The server communicates over stdio when run via Docker CLI.

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