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HubSpot Service Hub MCP server

Create a powerful Model Context Protocol (MCP) server for HubSpot Service Hub to automate support ticket management, customer communication, knowledge base operations, and service analytics. This integration enables AI agents to handle help desk automation, customer self-service, satisfaction tracking, and team collaboration with enterprise-grade security.

Setting up an MCP server

This article covers the standard steps for creating an MCP server in AI Gateway and connecting it to an AI client. The steps are the same for every integration — application-specific details (API credentials, OAuth endpoints, and scopes) are covered in the individual application pages.

Before you begin​

You'll need:

  • Access to AI Gateway with permission to create MCP servers
  • API credentials for the application you're connecting (see the relevant application page for what to collect)

Create an MCP server​

Find the API in the catalog​

  1. Sign in to AI Gateway and select MCP Servers from the left navigation.
  2. Select New MCP Server.
  3. Search for the application you want to connect, then select it from the catalog.

Configure the server​

  1. Enter a Name for your server — something descriptive that identifies both the application and its purpose (for example, "Zendesk Support — Prod").
  2. Enter a Description so your team knows what the server is for.
  3. Set the Timeout value. 30 seconds works for most APIs; increase to 60 seconds for APIs that return large payloads.
  4. Toggle Production mode on if this server will be used in a live workflow.
  5. Select Next.

Configure authentication​

Enter the authentication details for the application. This varies by service — see the Authentication section of the relevant application page for the specific credentials, OAuth URLs, and scopes to use.

Configure security​

  1. Set any Rate limits appropriate for your use case and the API's own limits.
  2. Enable Logging if you want AI Gateway to record requests and responses for auditing.
  3. Select Next.

Deploy​

Review the summary, then select Deploy. AI Gateway provisions the server and provides a server URL you'll use when configuring your AI client.

Connect to an AI client​

Once your server is deployed, you'll need to add it to the AI client your team uses. Select your client for setup instructions:

Tips​

  • You can create multiple MCP servers for the same application — for example, a read-only server for reporting agents and a read-write server for automation workflows.
  • If you're unsure which OAuth scopes to request, start with the minimum read-only set and add write scopes only when needed. Most application pages include scope recommendations.
  • You can edit a server's name, description, timeout, and security settings after deployment without redeploying.

Authentication​

HubSpot Service Hub uses OAuth 2.0 for secure API access. You'll create an app in HubSpot's developer portal to obtain your Client ID and Client Secret. The integration requires OAuth scopes that grant permissions—for example, tickets to manage support tickets, conversations.read and conversations.write to access chat and messaging, content to manage knowledge base articles, crm.objects.feedback_submissions.read and crm.objects.feedback_submissions.write to handle surveys and feedback. HubSpot's OAuth endpoints are https://app.hubspot.com/oauth/authorize for authorization and https://api.hubapi.com/oauth/v1/token for token exchange.

Available tools​

These tools let AI agents manage the complete customer support lifecycle—from ticket creation through resolution and feedback collection. They handle triage, communication, knowledge management, and performance tracking.

ToolDescription
List ticketsFind support tickets by status, priority, or date range
Create ticketCreate a new support ticket linked to a contact
Update ticketChange ticket status, priority, or assignment
Delete ticketRemove a ticket from the system
Associate ticketLink ticket to contact, company, or deal
List conversationsView chat and messaging threads
Create conversationStart a new support conversation
Update conversationChange status or assign to agent
Send messageReply to conversation or add internal notes
List knowledge articlesFind help articles by category or status
Create articlePublish a new knowledge base article
Update articleEdit article content or visibility
Delete articleArchive outdated articles
List feedback submissionsFind survey responses and satisfaction scores
Create feedbackRecord customer satisfaction score and comments
Update feedbackModify feedback submission details

Tips​

Create workflows that automatically triage tickets by category, assign them to the right team, and escalate unresolved tickets after a time threshold.

Build a knowledge base indexed by common issues, then direct customers to self-service articles before creating tickets. This reduces support volume.

Create workflows that monitor ticket age and trigger alerts or auto-escalation when tickets are approaching SLA deadlines.

Automatically send surveys after ticket closure to measure satisfaction, then flag low scores for quality review and coaching.

Link conversations across channels (email, chat, phone) to the same ticket so agents see the full customer history regardless of how they're contacted.