MCP for Data & Lead Enrichment: 10 Servers Reviewed (2026)

Every data enrichment MCP server we tested sometimes described the wrong company. None invented one, but Walmart came back as a one-person consultancy and Doctolib as a local health center. The most important thing to check in any enrichment result is whether the tool matched the right company, because every other answer depends on it.

We reviewed 10 of them: what data they return and how much of it is right, where that data comes from, what else each MCP server can do, and what it costs. We tested 5 on the same 20 companies and checked all 700 answers.

What we found:

• None of them invented a company, but all five sometimes described the wrong one. Walmart came back as a one-person consultancy. Doctolib, a French health company, came back as a local health center.
• Clay made the fewest mistakes (93% right when it answered). FullEnrich was second and Hunter third (75%).
• Hunter and Clay matched the right company most often (19 of 20).
• Of the five we tested, only Hunter shows where its email addresses came from. Each one comes with the pages it was found on, which is your answer when someone asks "how did you get my details?"

Our default recommendation is Hunter, if you're looking up companies so you can contact people there. It covers the whole process in one MCP server, and it's the only one we tested that shows where the emails it returns were found. If company details are the whole job, Clay made the fewest mistakes. Yes, Hunter wrote this review. The evidence is below, including where other tools beat it.

What is an MCP server for data enrichment (lead enrichment)?

An MCP server for data enrichment, also called lead enrichment, is an add-on that lets ChatGPT, Claude, or another AI assistant look up a company or a person in a real database instead of guessing.

You type "Tell me about pipedrive.com" and get back its size, location, industry, and funding. In ChatGPT and Claude, you add one as a custom connector, using the web address the vendor gives you. "MCP" stands for Model Context Protocol, the standard that makes this work.

It's different from your CRM's or ATS's MCP server, which reads data you already have. An enrichment MCP server is where new data comes from.

How to evaluate a data enrichment MCP server

• Company match. Check that the tool matched the right company before trusting any other field. In our test, every tool matched at least one website to the wrong company.
• Accuracy on the fields you use. Headquarters and industry were reliable across tools. Employee counts and funding were not, and no tool got employee numbers within 30% for more than 9 of 20 companies.
• Source transparency. Under GDPR Article 14, you need to tell people where you got their data. Check whether the tool shows where each email was found.
• Workflow coverage. Decide whether you need lookups only, or lookups plus verification, CRM sync, and sending.
• Real cost. Compare price per lookup, per-seat charges, and whether your assistant can run up credits without asking.

The 10 MCP servers for data enrichment at a glance

All 10 MCP servers return company and person details, three also send emails (Hunter, Apollo, and Amplemarket), and only Hunter has a separate email verification step.

"Partly" means the tool can filter for verified emails but has no separate verification step.

Last checked: 22 October 2026.

What data you get back, and how much is right

Clay made the fewest mistakes (93% right when it answered), and Hunter and Clay matched the right company most often (19 of 20). Funding and employee counts were the weakest fields at every tool.

The test

We picked 20 companies: big ones like Microsoft, Walmart, and Siemens, software companies like Pipedrive and lemlist, companies outside the US like Doctolib and Rakuten, small startups like Plausible and Buttondown, and three with confusing names or recent changes: x.com, meta.com, and block.xyz. Then we added two websites we made up.

For each real company, we checked 7 answers against the company's own website, annual reports, Wikipedia, and LinkedIn: is it the right company, headquarters, year founded, number of employees, industry, funding, and social profiles. That's 140 answers per tool.

Hunter, Prospeo, and Crustdata were tested through their own MCP servers. Our test ran on API keys, and FullEnrich's and Clay's MCP servers only accept a browser sign-in, so we called the same services directly. Signing in is still the safer setup for you. For Clay, that was its company database, not its multi-source "waterfall" lookup.

Copy this prompt to run the same test on companies you know:

The results

Clay was right most often when it answered (93%), FullEnrich was second (77%), and Hunter third (75%); Crustdata made the most mistakes.

"Right when it answered" ignores blanks, so a tool that leaves more blank can score higher.

Right answers by field, out of 20 companies:

Company match, headquarters, and industry were the most reliable fields; employee counts and funding were the least reliable at every tool.

What it shows

Getting the right company matters most, and Hunter and Clay did it best. Whatever tool you use, check the company match before trusting any other field. When a tool matches a website to the wrong company, every answer after that describes someone else, with no warning. In our test, Walmart came back as a one-person consultancy (FullEnrich), Doctolib as a Bordeaux health center (Prospeo) and a one-person naturopath practice (Crustdata), and Rakuten as Rakuten Mobile (Clay, FullEnrich, Prospeo, and Crustdata). Hunter matched 19 of 20 correctly. Its one miss was x.com, which it matched to Alphabet's research lab.

Nobody invented a company. Both fake websites came back as "no match" or empty from all five tools, with nothing charged.

More detail meant more mistakes. Clay made the fewest errors, partly by offering less: no founding year, employee counts only as ranges, and one funding total. Crustdata returned the most, including the most founding years (13 of 20), and made the most funding errors, including "acquired by" entries for buyers that never bought the company.

Funding and employee counts were weak everywhere. No tool got employee numbers right for more than 9 of 20 companies. Hunter listed investment rounds for Microsoft, IBM, and Walmart that never happened. If you target companies by size or funding, check those numbers yourself.

The tools shared mistakes. Pipedrive's 2018 funding round showed as $10M instead of $50M in more than one tool. Four of five placed lemlist in New York instead of Paris. All five used Unilever's employee count from before it split off its ice cream business. So two tools agreeing doesn't prove they're right.

This test can't rank overall data quality, which would take thousands of companies. It shows how each tool handles the same hard cases.

Before you let your AI update your CRM

Give your AI four rules before it writes to your CRM. Rule 3 alone would have caught every wrong-company match in our test, because every tool returned some wrong answers that looked exactly like right ones. Paste these into your instructions:

1. Only fill in fields that are empty. Never overwrite something that's already there.
2. Don't fill in funding or employee numbers without showing them to me first.
3. If the company name you get back doesn't match the one in the CRM, stop and ask me.
4. Add a note saying where each new detail came from and when.

Rule 3 would have caught every wrong-company match in our test. Rule 2 would have held back the two weakest fields for every tool.

People and email addresses

Hunter returned an email for 73% of 305 people in our AI email study, and 64% of the 305 were verified deliverable. This test covered company details only; for how well each tool finds and checks emails, see our email verification review.

When someone asks "how did you get my details?"

Of the five tools we tested, only Hunter shows where each email address it returns was found, with dates. That is your answer under GDPR Article 14, which requires you to tell people the source when you collect their data from somewhere other than them. None of the five shows where individual company facts come from (more in our email verification review).

What else each MCP server can do

If you're looking up companies so you can contact someone, enrichment is one step of several. So we checked which steps each MCP server covers.

Hunter, Apollo, and Amplemarket are the only three that go from finding a company to sending an email; Hunter is the only one with a confirmed separate verification step.

Three MCP servers go from finding a company all the way to sending the email: Hunter, Apollo, and Amplemarket. Of those, Hunter is the only one where we could confirm a separate email verification step and a source list for every email it returns.

What Hunter doesn't have is buying signals. If you prioritize accounts by intent data or job changes, ZoomInfo, Explorium, Lusha, Prospeo, and Crustdata offer them, and you can run one alongside Hunter.

Which MCP server to choose

Pick Hunter if you enrich companies to contact people there, and Clay if company details are the whole job. Whichever you pick, check the company match before trusting any other field.

Our default is Hunter. If you look up companies because you want to contact someone there, Hunter's MCP server covers every step of that in one account.

It wasn't the most accurate on company details. Clay was, and FullEnrich edged Hunter too. If company data is the whole job, those are worth a look.

What a lookup costs

Hunter has the lowest published price per lookup ($0.17 per 100), and ZoomInfo the highest ($25 per 100).

These prices come from each vendor’s own pricing page, checked on 22 October 2026. “Smallest purchase” is the least you can spend to get started. “Lowest price” is the best rate they publish, which needs a big plan or pack.

Hunter was the cheapest per lookup of the tools with published prices, but the per-lookup rate isn't the whole cost:

• Some plans bundle other tools. Hunter, Apollo, Prospeo, Lusha, Clay, and Amplemarket plans include more than enrichment. Their rates assume every credit goes on company lookups.
• Some tools charge per user. Apollo and Prospeo prices are per seat, so a team of five pays five times. Hunter, FullEnrich, and Clay don’t charge per seat.
• Your assistant decides how many lookups to make. Ask “how many credits will this use?” before it starts, and set a spending cap if the tool has one (Clay and Crustdata do).

How to add Hunter's MCP server to ChatGPT or Claude

Hunter also has ready-made apps for ChatGPT, Claude, and Gemini, but we recommend adding the MCP server itself. It gives your assistant access to the full Hunter platform, including everything covered in this review. It takes a couple of minutes and there's nothing to install.

In Claude:

1. Open Settings → Connectors and click Add custom connector.
2. Paste https://mcp.hunter.io/mcp and give it a name, like "Hunter."
3. Sign in to your Hunter account when asked.
4. In a new chat, ask: "Tell me about [a company you know well]. Say clearly if there's no match."

In ChatGPT:

1. Open Settings → Apps & Connectors and turn on developer mode under Advanced.
2. Create a new connector and paste https://mcp.hunter.io/mcp.
3. Sign in to your Hunter account when asked.
4. Ask the same question.

In other AI tools: any assistant that supports MCP servers can use the same address.

Then try: "Find the head of marketing at [company], verify their email, and show me where it was found."

→ Get started with Hunter's MCP server. The Free plan works.

For your tech person: Hunter's MCP server is at https://mcp.hunter.io/mcp and accepts OAuth or an X-API-Key header. Full details in the MCP setup docs.

FAQ

What's the best MCP server for data enrichment?

Hunter, if you're enriching companies to contact people there: it covers finding, enriching, verifying, and sending in one MCP server, and it's the only one we tested that shows where each email address it returns was found. If you only need company details, Clay made the fewest mistakes in our test.

How accurate is AI data enrichment?

In our test of five tools on 20 companies, answers were right 70-93% of the time when the tool gave one. Company, headquarters, and industry were the most reliable. Employee counts and funding were the least reliable at every tool.

Do enrichment tools make up companies?

Not in our test. All five returned "no match" or an empty result for two made-up websites, and none charged. The bigger risk was a real website matched to the wrong company.

Which enrichment tools also send emails?

Of the 10 we reviewed, Hunter, Apollo, and Amplemarket can run email sequences from the same MCP server. Hunter is the only one of the three where we could confirm a separate email verification step.

Can I trust employee counts from an enrichment tool?

Not without checking. No tool we tested got the number of employees within 30% for more than 9 of 20 companies.

Is there a free MCP server for lead enrichment?

Yes. Hunter's Free plan includes 250 lookups a month and works with its MCP server. FullEnrich offers 200 free, Prospeo 100 a month, Apollo 75 a month, and ZoomInfo 1,000 free credits.

Can I connect a data enrichment MCP server to Claude or ChatGPT?

Yes. In Claude, go to Settings → Connectors → Add custom connector and paste the server's address (Hunter's is https://mcp.hunter.io/mcp).

In ChatGPT, turn on developer mode under Settings → Apps & Connectors → Advanced, then create a connector with the same address.

What's the difference between an enrichment MCP server and an enrichment API?

With an API, you write code that decides which lookups to run. With an MCP server, your AI assistant decides which lookups to run based on a plain-language request. Use the API for batch pipelines and the MCP server for ad-hoc lookups inside a chat.

Does data enrichment through MCP cost credits?

Usually yes, and your assistant decides how many lookups to make. Ask "how many credits will this use?" before it starts, and set a spending cap if the tool offers one (Clay and Crustdata do). In our test, none of the five tools charged for websites with no match.

Every enrichment MCP server we tested sometimes matched the wrong company. If you change one thing, add rule 3 from the CRM section to your assistant's instructions: if the company name doesn't match, stop and ask.