5 Best Company Search MCPs for B2B Prospecting in 2026

A company search MCP lets Claude query a live company database instead of guessing from training data. Ask for "200-employee fintechs that raised a Series B" and a connected MCP returns real rows, not plausible-sounding names.

Five servers do this well right now, and they do not do it the same way. Some hand back a company name and a domain and stop there. Others attach revenue, funding history, tech stack, and headcount to every row.

What Is a Company Search MCP?

A company search MCP is a Model Context Protocol server that connects Claude to a live company database. A plain-English ICP description turns into a real, filterable query instead of a guess.

The gap between the two is not subtle. Ask a raw model for "Series B fintechs in Germany with 200+ employees" and it invents plausible names from training data. Ask the same question with a company search MCP connected and it issues a query, gets rows back, and reports what the database actually returned — including whether the query returned zero results.

Most major B2B data vendors have shipped a server on this logic, sitting alongside the broader wave of data enrichment MCPs built for the same purpose: real records, not generated ones.

What to Actually Compare Before You Pick One

Most roundups rank these tools on how they connect and whether they plug into a sequencer. That skips the question that actually determines your bill: what happens to one company match.

• ICP filter depth. How many fields can you actually query on — industry and headcount, or industry, headcount, funding round, investors, and tech stack with exclude_ variants on each?
• Data per match. Does the search call itself return revenue, funding, and tech stack, or does a match arrive as a bare name and domain that needs a second, separately-billed enrichment call?
• Pricing transparency. Is the cost per search and per enrichment published, or do you need a sales call to find out what a 500-row batch actually costs?

The five below are scored against those three axes, not against how many logos they can plug into.

1. SyncGTM

SyncGTM exposes company search alongside people search, waterfall enrichment across 50+ providers, and other lead-data tools in the same MCP, so a company list can be enriched in the same Claude session.

find_companies costs 0.5 credits per company returned and returns up to 100 profiles per call. Filters span firmographic (industry, headcount bucket or exact range, year founded), financial (revenue range, total funding, last round type and amount, investors), technographic (tech stack, categories, detected-technology count), and growth (headcount growth over 1, 3, 6, or 12 months) — plus an exclude_ counterpart on every categorical filter. Full detail lives in the B2B database MCP guide.

Pros

• Filters cover revenue, funding, investors, technologies, and headcount growth in a single call
• Published per-tool credit costs (0.5 credits per company returned), not a sales-led pricing page
• exclude_ filters on every categorical field; free to start with a browser sign-in and no API key

Cons

• Newer entrant than Apollo or ZoomInfo, with a shorter public track record
• Capped at 100 companies per call, so larger lists mean paging through results, and credits scale with every company returned

Best for: teams that want company search alongside people search and waterfall enrichment in one MCP. Pricing: free to start; find_companies costs 0.5 credits per company returned (see the pricing page for plans).

2. Crustdata

Crustdata is built for teams that need to slice an account list six ways before they touch it. It ships 95+ company filters with nested boolean logic, pulling from a claimed 60M+ company and 1B+ people dataset that refreshes every two weeks.

That filter count is the deepest of the five here. What's thinner is public documentation on exactly what firmographic detail — revenue precision, funding date granularity — ships with a default match versus what needs a follow-up call.

Pros

• Highest filter count of the five, with nested AND/OR/NOT logic most competitors don't expose
• Large claimed dataset with a stated two-week refresh cadence

Cons

• No published self-serve, per-call credit pricing — budgeting a batch means a sales conversation first
• Public documentation is thin on which firmographic details ship with a default match versus a follow-up call

Best for: enterprise RevOps teams that need complex, layered filters and can absorb a sales-led pricing process. Pricing: free trial, enterprise pricing thereafter.

3. Apollo

Apollo ships company and people search on every plan, including the free tier, so it's the cheapest way to try a company search MCP with zero commitment. The MCP launched in February 2026 against Apollo's 230M+ contact database.

Filters cover industry, size, location, and technology. Apollo's strength has always been contact volume rather than per-company firmographic depth — pull a match and you get the core fields, but funding history and tech stack detail typically need a follow-up enrichment call.

Pros

• Free tier includes company and people search, zero extra MCP fee on paid plans
• 230M+ contact database backing every company match

Cons

• Funding history and tech-stack detail typically need a follow-up enrichment call
• Primarily a contact-first tool with company search layered on top, not the other way around

Best for: teams already paying for Apollo who want company search folded into the same subscription. Pricing: free on all plans.

4. Amplemarket

Amplemarket covers the full workflow — search, enrich, and sequence — in one MCP connection. Search itself runs free through the MCP, but the platform underneath costs $2,880 to $3,960 per user, per year.

Search works by title, seniority, department, location, company, industry, and size, and you can describe an ICP in plain language. Enrichment runs 0.5 credits per contact on top of the subscription.

Pros

• Search, enrichment, and outbound sequencing on one connection and one bill
• Native support in both Claude and ChatGPT without workarounds

Cons

• Annual platform fee applies regardless of how much company search you actually use
• Filters lean person-centric; company-level firmographic filters are the lighter half of the tool

Best for: teams that want search, enrichment, and sequencing on one bill and don't mind the annual commitment. Pricing: $2,880–$3,960/user/year.

5. Explorium (Vibe Prospecting)

Explorium's Vibe Prospecting is built for scale. One connection handles search, research, and enrichment server-side, up to 1,000 entities per call at 100 queries per second, on a unified credit pool with no per-seat tax.

That throughput is the headline feature. Per-match firmographic depth varies by call type, and credit cost does too: a company or prospect record is 1 credit, an email 2, and a phone number 5, so model the mix before a large batch run, the same due diligence worth running on any B2B database provider before you commit a batch to it.

Pros

• Highest per-call throughput of the five — 1,000 entities at 100 QPS
• Single credit pool across search and enrichment, no seat-based pricing tax

Cons

• Shorter public track record than Apollo or Crustdata
• Per-credit dollar pricing isn't published — confirm cost before a large batch

Best for: teams building large lead lists in one pass rather than narrow, filtered account lists. Pricing: credit-based, not published self-serve.

Company Search MCPs Compared

How to Choose the Right One

• If you want company search, people search, and waterfall enrichment in one MCP with a free plan to start, try SyncGTM — and confirm the enrichment step's cost on any alternative before you commit.
• If you need six-way boolean filtering on a narrow account list, Crustdata's filter count wins — budget time for the sales conversation on pricing.
• If you're already paying for Apollo or Amplemarket, company search is close to zero marginal cost. Use what you have before adding a new bill.
• If the job is building a 1,000-company list in one pass, Explorium's per-call scale matters more than filter depth.
• Whichever you pick, check your credit balance before a large batch. Billing models differ — per run, per record returned, or per seat — so model the cost before you commit a big list.

Conclusion

None of these five is objectively "best" — they optimize for different variables. Pick the axis that matches how your team works: filter depth, per-match enrichment, price transparency, or raw throughput.

If you want company search alongside people search and waterfall enrichment in one MCP, SyncGTM is worth a look. Create a free SyncGTM account and connect the MCP to run your first search. For the full setup walkthrough, see the B2B database MCP guide.