Can I find the LinkedIn profile of an email address through the agent?

Yes! Use the `enrich_person_details` tool. The agent will return professional social links, including LinkedIn, Twitter, and others, if available in the Clearbit database.

How do I see the estimated revenue and size of a company?

Use the `enrich_company_details` tool with the company domain. Your agent will fetch firmographic data, including employee count and estimated annual revenue.

Where do I find my Clearbit API Key?

Log in to your Clearbit dashboard and go to the **API** section. You can copy your Secret API Key from there. (Note: Standalone keys are being moved to HubSpot Breeze Intelligence).

Clearbit (HubSpot) MCP Server for CrewAI 8 tools — connect in under 2 minutes

Name: Clearbit (HubSpot)
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Clearbit (HubSpot) through the Vinkius — pass the Edge URL in the `mcps` parameter and every Clearbit (HubSpot) tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Clearbit (HubSpot) Specialist",
    goal="Help users interact with Clearbit (HubSpot) effectively",
    backstory=(
        "You are an expert at leveraging Clearbit (HubSpot) 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 Clearbit (HubSpot) "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* 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 Clearbit (HubSpot) MCP Server

Connect your Clearbit (HubSpot) account to any AI agent and take full control of your B2B intelligence through natural conversation. Streamline how you research prospects and companies natively.

When paired with CrewAI, Clearbit (HubSpot) becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Clearbit (HubSpot) tools autonomously — one agent queries data, another analyzes results, a third compiles reports — all orchestrated through the Vinkius with zero configuration overhead.

What you can do

Combined Enrichment — Enrich both person and company data simultaneously using a single email address natively
Person Intelligence — Access detailed professional information including job titles and social profiles flawlessly
Company Logistics — Retrieve firmographic data such as industry, size, and location using domain names securely
Discovery Logistics — Search for new companies based on specific criteria like technology stack or revenue flawlessly
Autocomplete Intelligence — Suggest company names and domains based on partial queries flawlessly
Account Visibility — Retrieve core account and quota information directly within your workspace

The Clearbit (HubSpot) MCP Server exposes 8 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 Clearbit (HubSpot) to CrewAI via MCP

Follow these steps to integrate the Clearbit (HubSpot) 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 8 tools from Clearbit (HubSpot)

Why Use CrewAI with the Clearbit (HubSpot) MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Clearbit (HubSpot) 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 the 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

Clearbit (HubSpot) + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Clearbit (HubSpot) MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Clearbit (HubSpot) 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 Clearbit (HubSpot), analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Clearbit (HubSpot) 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 Clearbit (HubSpot) against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Clearbit (HubSpot) MCP Tools for CrewAI (8)

These 8 tools become available when you connect Clearbit (HubSpot) to CrewAI via MCP:

autocomplete_company

Autocomplete company

find_company

Find company by domain

find_person

Find person by email

find_person_and_company

Find person & company

find_risk

Calculate risk

get_prospects

Get prospects

get_watchlist

Get watchlist companies

reveal_ip

Reveal IP address

Example Prompts for Clearbit (HubSpot) in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Clearbit (HubSpot) immediately.

"Enrich this email address: alex@clearbit.com"

"Show me firmographic data for 'segment.com'."

"Find SaaS companies in California with 100-500 employees."

Troubleshooting Clearbit (HubSpot) MCP Server with CrewAI

Common issues when connecting Clearbit (HubSpot) to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts — check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

The Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Clearbit (HubSpot) + CrewAI FAQ

Common questions about integrating Clearbit (HubSpot) MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily — when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard 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?

Yes. Each agent has its own 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?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using 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)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.