HubSpot Service Hub MCP Server for Mastra AI 6 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect HubSpot Service Hub through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
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Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"hubspot-service-hub": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "HubSpot Service Hub Agent",
instructions:
"You help users interact with HubSpot Service Hub " +
"using 6 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with HubSpot Service Hub?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About HubSpot Service Hub MCP Server
Connect HubSpot CRM to any AI agent — instant access to your full CRM data without switching tabs.
Mastra's agent abstraction provides a clean separation between LLM logic and HubSpot Service Hub tool infrastructure. Connect 6 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
What you can do
- Contacts — Search, create, and manage contacts
- Companies — Find companies by name or domain
- Deals — Search and create deals with pipeline tracking
- Tickets — Create and search support tickets
- Notes — Create notes attached to any CRM record
- Owners — View all owners and team assignments
- Pipelines — List deal and ticket pipeline stages
The HubSpot Service Hub MCP Server exposes 6 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect HubSpot Service Hub to Mastra AI via MCP
Follow these steps to integrate the HubSpot Service Hub MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 6 tools from HubSpot Service Hub via MCP
Why Use Mastra AI with the HubSpot Service Hub MCP Server
Mastra AI provides unique advantages when paired with HubSpot Service Hub through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add HubSpot Service Hub without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every HubSpot Service Hub tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
HubSpot Service Hub + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the HubSpot Service Hub MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query HubSpot Service Hub, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed HubSpot Service Hub as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query HubSpot Service Hub on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using HubSpot Service Hub tools alongside other MCP servers
HubSpot Service Hub MCP Tools for Mastra AI (6)
These 6 tools become available when you connect HubSpot Service Hub to Mastra AI via MCP:
hs_create_ticket
Subject is required. Optionally provide content (detailed description), hs_pipeline (pipeline ID), hs_pipeline_stage (stage ID), and hs_ticket_priority (HIGH, MEDIUM, LOW). If no pipeline is specified, uses the default support pipeline. Returns the created ticket with its HubSpot ID. Create a new support ticket in HubSpot Service Hub with subject, description, pipeline stage, and priority
hs_list_feedback
Returns survey name, customer rating/score, survey type (NPS/CSAT/CES), and response content. Use when the user asks about customer satisfaction, NPS scores, or wants to review recent feedback from support interactions. List customer feedback survey submissions in HubSpot with ratings, survey type, and response content
hs_search_tickets
Returns ticket subject, current pipeline stage/status, priority (HIGH/MEDIUM/LOW), pipeline name, category, and creation date. Use when the user asks about open tickets, needs to find a specific support case, or wants to check the status of a customer issue. Search HubSpot Service Hub tickets by subject or keyword to find customer support cases
hs_ticket_pipelines
Returns pipeline name, stage labels, stage IDs (needed for creating/filtering tickets), and display order. Support pipelines define the workflow tickets follow: typically New → Waiting on Contact → Waiting on Us → Closed. Essential for finding stage IDs before ticket operations. List all ticket/support pipelines in HubSpot with their stages, display order, and internal IDs
hs_tickets_by_status
Returns tickets with subject, priority, and dates. Use when the user asks "how many tickets are open?", "what is waiting for response?", or for support queue analysis. Find stage IDs using hs_ticket_pipelines first. Get all HubSpot tickets at a specific pipeline stage to analyze queue depth, workload, or resolution bottlenecks
hs_update_ticket
Only specified fields are updated. Common use: advance hs_pipeline_stage when a case progresses, escalate hs_ticket_priority, or update the subject for clarity. Use when the user says a ticket moved stages, priority changed, or needs correction. Update an existing HubSpot ticket — change status, priority, subject, or reassign to reflect case progress
Example Prompts for HubSpot Service Hub in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with HubSpot Service Hub immediately.
"Search for contacts at Acme Corp"
"Create a deal: Enterprise Package $50,000"
"Show me the deal pipeline stages"
Troubleshooting HubSpot Service Hub MCP Server with Mastra AI
Common issues when connecting HubSpot Service Hub to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpHubSpot Service Hub + Mastra AI FAQ
Common questions about integrating HubSpot Service Hub MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect HubSpot Service Hub with your favorite client
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Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect HubSpot Service Hub to Mastra AI
Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.