How to Use the HubSpot CRM (Full) MCP in Cursor
Inject live HubSpot data straight into your code. Cursor Agent reads deals and contacts while you build CRM integrations.
Works with every AI agent you already use
…and any MCP-compatible client
Connect HubSpot CRM (Full) MCP to Cursor
Create your Vinkius account to connect HubSpot CRM (Full) to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Query pipelines inside your Cursor editor
Calling `hs_search_deals` and `hs_list_pipelines` lets Cursor pull real monetary amounts and stage labels directly into your workspace. When you write a custom dashboard, you don't have to guess the JSON structure of a sales opportunity. The agent fetches the actual deal names and expected close dates, using them to write accurate interface types for your frontend components. You can test write operations without leaving the IDE. Cursor calls `hs_create_deal` to push a test record into your default pipeline, letting you verify the webhook response immediately. It handles the API payload creation, assigning the dealstage and amount while you stay focused on the application logic.
Scaffold integrations with this MCP Server
This server provides `hs_search_companies` and `hs_search_contacts` so your AI client can grab live employee counts, domain names, and lifecycle stages. If you are writing a script to sync user accounts, Cursor reads a real contact record to understand the exact fields returned by the CRM. That means fewer broken builds caused by mismatched data models. The agent can also mock up user registration flows by executing `hs_create_contact`. It passes a unique email address to trigger the auto-deduplication logic, letting you see exactly how the CRM handles existing users. You build the sync logic while Cursor handles the tedious API testing steps.
Build support tools with live ticket data
Using `hs_search_tickets` and `hs_list_owners`, Cursor retrieves active support requests and the CRM users assigned to them. When you build an internal triage tool, the agent injects the real priority levels and pipeline categories into your test environment. You get working code that maps correctly to your actual support team structure. You can verify your submission forms by having the agent run `hs_create_ticket` and `hs_create_note`. It generates a test bug report, sets it to HIGH priority, and attaches an HTML-formatted note to the timeline. This proves your integration works before you ever push it to staging.
Set up HubSpot CRM (Full) MCP in Cursor
Prerequisites
- Cursor installed (macOS, Windows, or Linux)
- Active Vinkius subscription with a valid endpoint token
- 1
Open MCP Settings
Go to Cursor Settings → MCP or open the Command Palette (
Cmd+Shift+P/Ctrl+Shift+P) and search for "MCP: Add Server". - 2
Add the HubSpot CRM (Full) MCP
Cursor will create or open
.cursor/mcp.jsonin your project root. Paste the JSON snippet on the right. Replace[YOUR_TOKEN_HERE]with your endpoint token from cloud.vinkius.com. - 3
Enable Agent mode
Open Composer (
Cmd+I/Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode. - 4
Verify the connection
Ask Cursor something like "List my recent HubSpot CRM (Full) transactions." If the MCP tools are loaded correctly, Cursor will call the HubSpot CRM (Full) tools automatically. You can also check Settings → MCP for a green status indicator.
{
"mcpServers": {
"hubspot-crm-full-mcp": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
} Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by HubSpot. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about HubSpot CRM (Full) MCP in Cursor
Use it with your favorite AI tools
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