HubSpot Analytics MCP Server for CrewAI 5 tools — connect in under 2 minutes
Connect your CrewAI agents to HubSpot Analytics through Vinkius, pass the Edge URL in the `mcps` parameter and every HubSpot Analytics tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from crewai import Agent, Task, Crew
agent = Agent(
role="HubSpot Analytics Specialist",
goal="Help users interact with HubSpot Analytics effectively",
backstory=(
"You are an expert at leveraging HubSpot Analytics tools "
"for automation and data analysis."
),
# Your Vinkius token. get it at cloud.vinkius.com
mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)
task = Task(
description=(
"Explore all available tools in HubSpot Analytics "
"and summarize their capabilities."
),
agent=agent,
expected_output=(
"A detailed summary of 5 available tools "
"and what they can do."
),
)
crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
* 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 Analytics MCP Server
Connect HubSpot CRM to any AI agent — instant access to your full CRM data without switching tabs.
When paired with CrewAI, HubSpot Analytics becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call HubSpot Analytics tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.
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 Analytics MCP Server exposes 5 tools through the Vinkius. Connect it to CrewAI 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 Analytics to CrewAI via MCP
Follow these steps to integrate the HubSpot Analytics MCP Server with CrewAI.
Install CrewAI
Run pip install crewai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Customize the agent
Adjust the role, goal, and backstory to fit your use case
Run the crew
Run python crew.py. CrewAI auto-discovers 5 tools from HubSpot Analytics
Why Use CrewAI with the HubSpot Analytics MCP Server
CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with HubSpot Analytics through the Model Context Protocol.
Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools
CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime
Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls
Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports
HubSpot Analytics + CrewAI Use Cases
Practical scenarios where CrewAI combined with the HubSpot Analytics MCP Server delivers measurable value.
Automated multi-step research: a reconnaissance agent queries HubSpot Analytics for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff
Scheduled intelligence reports: set up a crew that periodically queries HubSpot Analytics, analyzes trends over time, and generates executive briefings in markdown or PDF format
Multi-source enrichment pipelines: chain HubSpot Analytics tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow
Compliance and audit automation: a compliance agent queries HubSpot Analytics against predefined policy rules, generates deviation reports, and routes findings to the appropriate team
HubSpot Analytics MCP Tools for CrewAI (5)
These 5 tools become available when you connect HubSpot Analytics to CrewAI via MCP:
hs_analytics_views
Views are named configurations that scope analytics data — similar to Google Analytics views. Use when the user asks about available reporting scopes or needs a view ID for filtered analytics queries. List available analytics views in the HubSpot account for filtering web traffic and reporting data
hs_email_analytics
Returns delivery count, open rate, click rate, bounce count, unsubscribe count, and spam report count. Use when the user asks about email campaign performance, wants to check open/click rates, or needs to audit deliverability for a specific send. Get delivery and engagement analytics for a specific HubSpot marketing email — opens, clicks, bounces, and unsubscribes
hs_list_events
Shows page views, email opens, form submissions, meetings, calls, and other interactions. Essential for understanding engagement history. Requires objectType (contacts, companies, deals) and objectId. Use when the user asks "what has this contact done?" or "show me the activity timeline for this deal." List timeline events for a specific HubSpot CRM record — see all activity history for a contact, company, or deal
hs_list_reports
Returns report name, type, and description. These are custom reports created by users or auto-generated by HubSpot. Use when the user asks about available reports, wants to find a specific saved report, or needs to audit the reporting configuration. List custom analytics reports configured in HubSpot with name, type, and description
hs_web_analytics
Returns metrics like total sessions, pageviews, new contacts generated, and bounce rate. Parameters: objectType controls the report view (totals, sessions, sources), period controls granularity (total, daily, weekly, monthly), and start/end define the date range. Use when the user asks about website performance, traffic trends, lead generation from the website, or traffic source breakdown. Get website traffic analytics from HubSpot — sessions, pageviews, new contacts, and traffic sources over time
Example Prompts for HubSpot Analytics in CrewAI
Ready-to-use prompts you can give your CrewAI agent to start working with HubSpot Analytics immediately.
"Search for contacts at Acme Corp"
"Create a deal: Enterprise Package $50,000"
"Show me the deal pipeline stages"
Troubleshooting HubSpot Analytics MCP Server with CrewAI
Common issues when connecting HubSpot Analytics to CrewAI through the Vinkius, and how to resolve them.
MCP tools not discovered
Agent not using tools
Timeout errors
Rate limiting or 429 errors
HubSpot Analytics + CrewAI FAQ
Common questions about integrating HubSpot Analytics MCP Server with CrewAI.
How does CrewAI discover and connect to MCP tools?
tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.Can different agents in the same crew use different MCP servers?
mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.What happens when an MCP tool call fails during a crew run?
Can CrewAI agents call multiple MCP tools in parallel?
process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.Can I run CrewAI crews on a schedule (cron)?
crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.Connect HubSpot Analytics with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect HubSpot Analytics to CrewAI
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.
