HubSpot RevOps MCP Server
Provides read-only diagnostic and advisory capabilities over a HubSpot CRM, including auditing contacts, companies, deals, pipelines, and workflows, diagnosing RevOps maturity, identifying at-risk deals, lifecycle funnel bottlenecks, and critical workflow gaps, benchmarking sales metrics, and offering step-by-step how-to guides for manual fixes.
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
HubSpot RevOps MCP Server
A read-only Model Context Protocol server that connects to your HubSpot account via a Private App and gives an AI assistant (Claude) diagnostic and advisory capabilities over your CRM.
What it does
Audits contacts, companies, deals, pipelines, and workflows for data quality issues
Diagnoses RevOps maturity across 4 levels
Identifies at-risk deals, lifecycle funnel bottlenecks, and critical workflow gaps
Benchmarks your key sales metrics against industry standards
Guides you step-by-step on how to fix issues manually in HubSpot
Read-only by design. The MCP server never writes to HubSpot. All changes are made by you in the HubSpot UI.
Related MCP server: Artefact Revenue Intelligence MCP Server
Setup
1. Create a HubSpot Private App
In HubSpot: Settings → Integrations → Private Apps → Create a private app
Give it a name (e.g., "RevOps MCP")
Under Scopes, enable:
crm.objects.contacts.readcrm.objects.companies.readcrm.objects.deals.readcrm.schemas.contacts.readcrm.schemas.companies.readcrm.schemas.deals.readcrm.objects.owners.readautomation(requires Sales Hub Professional)
Create the app and copy the Access Token (starts with
pat-na1-…)
2. Clone and install
git clone <your-repo-url>
cd server
npm install3. Configure environment
cp .env.example .env.local
# Edit .env.local and paste your HubSpot Access Token4. Run locally
npm run dev
# MCP endpoint: http://localhost:3000/api/mcpDeploy to Vercel
Option A — Vercel CLI
npm install -g vercel
vercel
# Follow prompts; add HUBSPOT_ACCESS_TOKEN as an environment variable when askedOption B — Vercel Dashboard
Push this repo to GitHub
Import the repo at vercel.com
Set root directory to
server/Add environment variable:
HUBSPOT_ACCESS_TOKEN = pat-na1-…Deploy
The vercel.json already sets maxDuration: 60 for the MCP route.
Connect to Claude
Once deployed, add the MCP server to Claude Desktop or Claude.ai:
Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"hubspot": {
"url": "https://your-deployment.vercel.app/api/mcp"
}
}
}Claude.ai: Settings → Integrations → Add MCP Server → paste your Vercel URL + /api/mcp
Available Tools (15)
Tool | What it does |
| Object counts, pipelines, users |
| Custom + default properties; flags missing critical fields |
| Pipeline stages, probabilities, issues |
| Open deals with data quality flags |
| Deals past close date or with no recent activity |
| Contact funnel counts + conversion rates |
| All active workflows + stale detection |
| Gap analysis against 12 must-have workflows |
| Win rate, avg deal size, avg cycle, velocity |
| Open + closed pipeline per sales rep |
| Level 1–4 maturity score + action plan |
| Step-by-step how-to for any HubSpot task |
| Find contacts by name, email, or company |
| List all HubSpot users |
| Most frequent HubSpot/RevOps mistakes + fixes |
Project structure
server/
├── app/
│ ├── api/
│ │ └── mcp/
│ │ └── route.ts # MCP JSON-RPC 2.0 endpoint
│ └── layout.tsx
├── lib/
│ ├── hubspot.ts # HubSpot API wrapper (read-only)
│ ├── knowledge.ts # Embedded RevOps knowledge base
│ └── tools.ts # Tool definitions + handlers
├── .env.example
├── next.config.ts
├── package.json
├── tsconfig.json
└── vercel.jsonThis server cannot be deployed
Maintenance
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The HubSpot MCP Server acts as a bridge that enables AI assistants and Large Language Models to securely interact with HubSpot CRM data through natural conversation, without requiring users to understand complex API structures. It provides read-only access to standard CRM objects (contacts, companies, deals, tickets, products, invoices, and more) and their associations, secured via OAuth 2.0, allowing AI agents to perform tasks like summarizing deals, fetching company updates, and looking up record changes.
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