Clearbit (HubSpot) MCP. Get instant, verified B2B context on anyone or any company.
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Clearbit (HubSpot) gives your AI agent B2B intelligence on people and companies. Plug in an email or a website domain and get instant firmographic data, job titles, company size, industry, and even risk scores.
It's how you turn raw contacts into actionable sales leads.
What your AI agents can do
Autocomplete company
Suggests complete company names and domains based on partial text input.
Find company
Looks up a company's detailed profile using its website domain name.
Find person
Retrieves comprehensive professional details for an individual based on their email address.
Finds a person's detailed job history, social links, and their associated company data using just an email address.
Retrieves firmographic details, such as the industry, size, and location of a business using only its website domain name.
Searches for businesses that match specific criteria you set, like having a certain technology stack or generating minimum revenue.
Runs data through specialized checks to calculate an immediate risk score associated with a given contact or company.
Pulls core account and quota information directly from your connected workspace into the chat.
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Supported MCP Clients
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Clearbit (HubSpot) - 8 Tools
These tools allow your agent to perform targeted B2B intelligence lookups, from finding specific people using emails to discovering new companies based on criteria.
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Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.
Start using Clearbit (HubSpot) on Vinkius019d7571autocomplete company
Suggests complete company names and domains based on partial text input.
019d7571find company
Looks up a company's detailed profile using its website domain name.
019d7571find person
Retrieves comprehensive professional details for an individual based on their email address.
019d7571find person and company
Finds and links both a person's profile and the company they work at using combined inputs.
019d7571find risk
Calculates an immediate risk score for a given contact or company based on various data points.
019d7571get prospects
Retrieves lists of potential leads and contacts that match specified criteria.
019d7571get watchlist
Pulls information about companies you have previously flagged or added to a monitoring list.
019d7571reveal ip
Reveals the IP address associated with a given domain name.
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Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 8 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
The Problem: Data research is a click-through nightmare.
Today, vetting a potential client means jumping between five different systems. You grab an email from a list, then you have to open the company dashboard to check their size, switch over to another tool just to see if they're high risk, and finally copy-paste all those details into your CRM record. It’s slow, frustrating, and you lose context every time.
With this MCP, that process vanishes. You give your agent a single piece of data—like an email address—and it handles the entire lookup sequence for you. The AI client pulls together person intelligence, company logistics, and risk scoring into one cohesive answer. It’s immediate, comprehensive context.
Getting Context with `find_person` and `find_company`
The manual steps that disappear include looking up job titles in LinkedIn, verifying the industry on a separate website, and then figuring out if the company is big enough to care about your product. These three checks used to take ten minutes.
Now you ask your agent to find person & company details using `find_person_and_company`. It delivers the full picture instantly—the professional context plus the corporate background. You're done with manual data stitching.
What you can do with this MCP connector
This MCP lets your AI client pull deep background intel on prospects without leaving the chat window. Instead of opening ten different tabs or manually entering domains into a dashboard, your agent handles it all through natural language conversation. You can feed in a single email address and get details on the person—like their job title and social profiles—and simultaneously get data on the company they work for, like its industry or employee count.
Need to find new targets? You can even search for companies based on criteria such as technology stack or revenue bracket.
Because you're dealing with sensitive B2B credentials, we run everything through Vinkius’s zero-trust proxy. This means your API keys pass securely in transit; they never sit on a disk. It keeps the data clean and focused entirely on actionable intelligence. You can use this MCP to enrich entire lists of contacts or audit existing accounts just by asking your agent what you need.
019d7571-2495-72be-ba83-12c9be146f5b 
How Clearbit (HubSpot) MCP Works
- 1 Subscribe to this MCP and enter your Clearbit API Key, which you get from your dashboard.
- 2 Ask your agent to enrich data using a specific piece of information, like an email or domain name.
- 3 The agent calls the necessary tools, pulls the structured data, and presents it back to you in plain text.
The bottom line is that you get deep B2B intelligence on demand, without having to navigate a single dashboard.
Who Is Clearbit (HubSpot) MCP For?
This MCP is for sales and marketing professionals who are tired of spending hours manually cross-referencing data points. It gives them the context they need in minutes.
Needs to quickly research a prospect's background and verify company details during initial outreach, so they don't waste time on bad leads.
Requires immediate access to stakeholder profiles and firmographics right inside the chat interface before calling a client.
Needs to automate lead enrichment and segment audiences without manually opening or updating multiple marketing automation tools.
What Changes When You Connect
- Contextualizing leads is easy. Instead of just having an email, your agent uses
find_personto pull the person's job title, social profiles, and professional background instantly. - Never guess a company's size again. By using
find_company, you get core firmographic data like industry, employee count, and revenue right from the domain name alone. - Stop wasting time on dead ends. Use
get_prospectsto search for new companies based on criteria—like needing specific technology stacks or a minimum revenue level. - Add risk context to every conversation. Running
find_riskprovides an immediate score, helping your team prioritize which leads are worth the call. - Maintain compliance and focus. Because Vinkius manages all tool calls through its secure sandbox, you know your credentials are used only in transit for this enrichment process.
Real-World Use Cases
Cold calling a new prospect
You have an email address but no idea if the person is a decision-maker. You ask your agent to run find_person, which confirms they are a Director and provides links to their social profiles, letting you tailor the pitch immediately.
Validating a lead list
A marketing team gets a spreadsheet of domains. You ask your agent to run find_company on all of them. The agent returns the industry and size for every single domain, allowing you to segment the list before sending it to sales.
Auditing an existing account
Before a renewal call, you ask your agent to use get_watchlist on the client's main domains. This quickly reminds everyone what key assets or historical contacts need attention during the meeting.
Identifying competitor gaps
You suspect a target company might be hiding certain information. You ask your agent to run find_risk and also reveal_ip on their domain. This gives you an immediate, technical layer of context for the sales team.
The Tradeoffs
Using multiple manual dashboards
Opening Clearbit's website, then HubSpot’s dashboard, then a separate risk scoring tool, and manually copying data points into a Google Sheet.
→
Connect this MCP. Your agent calls find_person, then uses the resulting company data to run find_company—all in one chat window.
Relying on basic keyword searches
Searching only by city name or industry type, which gives you hundreds of irrelevant results and no context on employee size.
→
Use get_prospects to narrow your search. Specify criteria like 'SaaS company in California with 100-500 employees' for a much cleaner list.
Assuming data completeness
Sending an email outreach assuming the recipient is still at the company listed three years ago, wasting time and damaging relationships.
→
Before sending, use find_person to confirm their current job title and status. It's a quick check that prevents failed outreach.
When It Fits, When It Doesn't
Use this MCP if your workflow requires deep context about who the person is (job history, social links) or what the company does (industry, tech stack). You need actionable intelligence beyond basic contact info. Don't use it if all you need is to verify a simple name and address—a standard CRM lookup might be enough. However, if you're dealing with lead generation, always run find_risk after finding prospects; that step adds necessary prioritization context. If your goal is simply to build an internal database of emails, this isn't the right tool because it requires active querying.
Common Questions About Clearbit (HubSpot) MCP
How do I use `autocomplete_company`? +
autocomplete_company suggests company names and domains as you type, helping you correct typos or find the official name before running a full lookup.
Can I find information on a company using only its domain with `find_company`? +
Yes. find_company takes a website domain and returns detailed firmographics, like the industry, size (employee count), and location.
What is the best way to use `get_prospects`? +
You should specify clear criteria. For example, asking for 'SaaS companies in California with 100-500 employees' will give you a highly targeted list.
Is `find_risk` the same as basic data lookup? +
No. While it uses underlying data, find_risk specifically calculates and reports an immediate risk score, giving you a prioritization metric that simple lookups skip.
How does `find_person` work when I only have a company name? +
No, you must provide an email address to use find_person. This tool requires the email format for accurate person intelligence. If you only have a company name, try using find_company first.
What is the difference between `get_watchlist` and general searching? +
get_watchlist retrieves pre-curated or saved lists of companies you've designated for monitoring. It doesn't search broadly; it pulls specific, tracked accounts that require attention.
Does using `find_person_and_company` reveal private information? +
No, the data returned is publicly available B2B intelligence compiled by Clearbit. The MCP only passes through verified, non-private firmographic and professional details.
Can I use `reveal_ip` to check for general company legitimacy? +
The reveal_ip tool provides the IP address associated with a connection. This is useful for technical audits, but it cannot validate overall business legitimacy or firmographic details.
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