MCP tools list: 76 AI tools with a confirmed MCP server

Best fit: teams that need an agent to pull live public web data without building their own scraping infrastructure.

Bright Data's review on this site covers its residential proxy network; the MCP server sits on that same 400M-plus proxy pool across 195 countries, documented at docs.brightdata.com in a vendor-owned GitHub repo, and it's the only entry in this list with a genuinely free tier. It also shows up in this site's broader web-scraping tools ranking, measured against other extraction platforms.

A dedicated Bright Data MCP review covers the server's setup and free-tier limits in more depth. This site's Bright Data vs. Oxylabs comparison runs the two proxy networks side by side.

Key features

• An agent runs a live Google/Bing/Yandex search & returns structured results (title, URL, snippet), no manual SERP scraping required.
• An agent pulls a competitor's pricing page as clean markdown on a schedule, to catch a price change the same day it goes live.
• An agent batch-scrapes a list of URLs (a job board, a review site, a directory) in one call over one page at a time.
• An agent unlocks a page sitting behind bot detection or a CAPTCHA that a plain HTTP request can't reach.
• An agent checks session usage stats mid-run to see how much of a request budget a scraping job has burned through.
• An agent asks a built-in research assistant tool to summarize a page, skipping the raw HTML a second model call would otherwise have to parse.

Pricing

Free to 5,000 requests/month; pay-as-you-go from $1.50/1,000 requests; Scale $499/month; Enterprise custom.

Pros

• Genuinely free entry tier.
• Largest proxy footprint on this list.
• Docs and code both on the vendor's own domain.

Cons

• Browser-automation billed by the gigabyte scales unpredictably, a double-edged sword against the free tier's appeal.
• The server covers scraping and proxy data only, leaving out company or contact records.

Why it's ranked #1. Bright Data sets the pace on measured demand at 490 combined monthly searches, and it's the only entry in this list's top five with a free MCP tier; the rest gate access behind a paid plan.

Best fit: content and SEO teams who want an agent to draft, score, and improve against live SERP data without leaving the chat.

Surfer's own MCP server, built on what the company calls the biggest API update in its history, exposes 57 individual tools across 12 categories plus 6 prebuilt "skills" that chain several tools into one command, documented at docs.surferseo.com/en/articles/12944186-surfer-mcp.

That's the widest tool count of any server in this list, covering content editors, SEO guidelines, AI Search guidelines, full article generation, Auto-Optimize, and AI visibility tracking under one roof.

Surfer SEO is the same product this site reviews under its current name, Positive Surfer; that review covers pricing, the content editor, and AI visibility tracking. A separate Surfer MCP review covers the server itself.

This site's Positive Surfer vs. Semrush comparison runs the two platforms side by side. Surfer also carries a spot in this site's competitive-intelligence SEO tools ranking.

Key features

• An agent creates a Content Editor for a target keyword, pulls the SERP-derived outline, and drafts a full article without a human opening the dashboard.
• An agent pulls a live Content Score before a post goes out, then runs Auto-Optimize to close the SEO and AI Search score gaps in one command.
• An agent checks SERP-based term and topic coverage for a keyword against ranking competitors and flags exactly which required phrases are missing.
• An agent pulls AI Tracker mention-gap data to see which ChatGPT or Gemini prompts cite a competitor over the brand.
• An agent works through Surfer's prioritized Recommendations queue and executes the highest-impact item directly. That's a finished action already completed, leaving no queued suggestion for someone else to act on.
• An agent audits an already-published post by spinning up a scoped Content Editor and reporting exactly which guideline items it's missing.

Pricing

Discovery $49/month (entry plan); MCP access ships on the Pro plan and above, $182/month, with AI Search Analytics, Peace of Mind, and Enterprise tiers also included.

Pros

• Widest tool count of any server on this list.
• Covers content, SEO, and AI-search visibility together as one connected workflow, over three separate ones.

Cons

• MCP access sits behind the Pro tier over the $49 entry plan.
• A server this broad takes longer to learn than a single-purpose one.

Why it's ranked #2. Surfer's 57-tool, 6-skill server covers more of the content workflow, end to end, than any other entry here, and it's the only server in this list built by a company whose day job is this exact category.

Best fit: sales and RevOps teams that need verified contact data enriched mid-workflow, ahead of a spreadsheet export.

Lusha's review on this site covers its prospecting platform; its official MCP server, documented at docs.lusha.com/mcp-docs, exposes 23 tools across contact search, company search, buying-signal search, and lookalike expansion, backed by 290M-plus verified B2B contacts and 29M-plus companies. Lusha also carries an entry in this site's b2b data providers ranking, for a side-by-side against the other contact databases there.

A dedicated Lusha MCP review covers setup and limits in more depth. This site's Lusha vs. ZoomInfo comparison weighs the two contact databases directly. A separate pricing breakdown runs every tier in full.

Key features

• An SDR types "find marketing directors at companies using Salesforce" into Claude, and the agent runs a contact search plus enrichment call that returns real people with verified emails and phones.
• An agent enriches an inbound lead the moment a form is filled, chaining a form-fill trigger to Lusha's enrichment tool before a rep ever opens the record.
• An agent builds a target-account list from ICP filters (industry, size, location), then pulls the decision-makers at each matched company.
• An agent monitors an existing account list for buying signals & surfaces which accounts show hiring or funding activity inside a CRM-connected session.
• An agent expands a seed list of best customers into a lookalike prospect list using the same firmographic pattern.
• An agent checks remaining credit balance before kicking off a bulk enrichment job, so a run doesn't stall halfway through.

Pricing

Free, 40 credits/month, 1 seat; Starter $37.45/month (annual); Pro $52.45/month; Premium $299.95/month; Scale custom.

Pros

• Largest data scale of the four entries in this range (290M-plus contacts).
• Genuinely free tier.
• Transparent per-credit pricing.

Cons

• Free-tier credits run out fast for a team doing volume prospecting.
• Phone-number lookups cost 5x the credits of an email lookup.
• Lusha's MCP docs contradict themselves on the auth header, and its own pages give different plan-access rules and accuracy figures.
• The data it serves faces two pending US class actions and a €2 million Italian fine Lusha is contesting; the Lusha review lists every case.
• Paid plans auto-renew at the then-current price, and the terms make every payment non-refundable.

Why it's ranked #3. Lusha's contact database is the largest of any tool ranked in this range, and its pricing ladder is genuinely public down to the free tier, a level of transparency most contact-data vendors here don't match. That transparency stops at the rate card: the renewal and refund terms are strict, and the legal record behind the data runs to two pending class actions and a contested EU fine.

Best fit: outbound teams running full sequences, past single-contact lookups, who want an agent to trigger and monitor the whole motion.

Amplemarket's review on this site covers its sales-engagement platform; its official MCP server, hosted at mcp.amplemarket.com and documented in Amplemarket's own knowledge base, exposes roughly 52 tools across 13 categories, drawing on a 200M-plus business-profile database with 70M-plus data updates a week. Amplemarket also ranks in this site's sales intelligence roundup, alongside the other outbound-focused platforms here.

A dedicated Amplemarket MCP review covers setup and the full tool list in more depth. A separate pricing breakdown runs every tier.

Key features

• An agent searches people and companies against an ICP filter, then enriches the matches with verified emails and phones before a list ever reaches a rep.
• An agent builds and tags a target-account list with custom fields, like funding stage, directly from a chat prompt.
• An agent creates a multichannel outreach sequence and enrolls a fresh lead list into it, covering email, phone, and social touches in one motion.
• An agent checks AI-scored buying-intent signals & prioritizes today's call list before a rep starts dialing.
• An agent screens a new list against a do-not-contact exclusion list before enrollment, to keep a sequence compliant.
• An agent answers a plain-language analytics question, like which sequence had the best reply rate this month, ahead of a pipeline review.

Pricing

Startup $600/month (annual term), 2 users, 27,000 contacts/year; Growth and Elite are both quote-only.

Pros

• Largest raw tool count of any sales-engagement server in this list (52 across 13 categories).
• Covers the full search-to-sequence motion, past contact lookup alone.

Cons

• The entry tier costs an arm and a leg next to Lusha's or Apollo's.
• Pricing above Startup is quote-only, a closed book for anyone comparing costs upfront.

Why it's ranked #4. Amplemarket's 52-tool server covers more of the outbound motion end to end, from search through sequencing to inbox triage, than any single-purpose contact tool in this range, though its $600 floor is the steepest of the four.

Best fit: marketing and comms teams that need real-time sentiment on a brand or launch over a weekly digest.

Brand24's review on this site covers its monitoring platform; its official MCP server, hosted at mcp.brand24.com and documented in Brand24's help center, is one of the only social-listening tools with official status in the OpenAI App Store, & fetches live data on every query, never a cached snapshot.

A dedicated Brand24 MCP review covers pricing, setup, and alternatives in more depth. This site's Brand24 vs. Brandwatch comparison weighs the two monitoring platforms directly.

Brand24 also carries a spot in this site's social listening ranking. A separate pricing breakdown runs every tier.

Key features

• Ahead of a product launch, an agent pulls real-time sentiment across a brand's tracked keywords to gauge pre-launch buzz.
• When negative mentions spike, an agent surfaces the driving conversations & drafts a response grounded in what people are saying right now.
• An agent compiles a live competitor report by querying mentions and topics across a rival's monitored project.
• An agent identifies the week's most active influencers discussing a brand, for outreach targeting.
• An agent lists the news outlets currently covering a brand, for a PR digest.
• A marketing lead asks an agent for a plain-language summary of what happened across every monitored project, no dashboard required.

Pricing

Individual $199/month (annual), 2,000 mentions/month; Team $349/month; Pro $499/month; Business $699/month; Enterprise from $1,499/month.

Pros

• Monitors 25M-plus sources in real time across 154 countries.
• Live data on every query, never a cached snapshot.

Cons

• Narrowest category of the four entries here, social listening only.
• No free tier, and the entry price is the steepest per-seat of the five tools ranked above position 6.

Why it's ranked #5. Brand24 holds its own on real-time coverage, 25M-plus sources against 25B-plus mentions delivered, a genuine differentiator even against tools with a broader category footprint, though it's also the narrowest and priciest entry point of the four.

Best fit: SEO and content teams already paying for Semrush who want its keyword and ranking data queryable from Claude or ChatGPT.

Semrush's own MCP page lists Claude, ChatGPT, Perplexity, and Gemini as supported clients, backed by versioned developer docs at developer.semrush.com, topping this half of the list at 460 combined monthly searches. Its review on this site covers the platform this server queries.

This site's Semrush vs. Similarweb comparison weighs the two platforms directly. Semrush also carries a spot in this site's digital marketing intelligence ranking.

A separate pricing breakdown runs every tier in full.

Key features

• An agent calls the keyword-research tool to pull search volume and difficulty for a topic cluster before a content brief goes out.
• An agent pulls domain and traffic overview data to size a prospect's organic footprint by market ahead of a sales call.
• An agent runs competitor research to find a domain's top organic rivals and its shared or missing keywords, for a gap analysis.
• An agent audits a client's backlink profile before a link-building pitch.
• An agent checks position tracking inside a saved project & flags a ranking drop for a monitored keyword.
• An agent runs a site audit and summarizes the fixes for a client over a raw crawl report.

Pricing

SEO plan $117.33/month annual ($139 monthly); Starter $165.17/mo; Pro+ $248.17/mo; Advanced $455.67/mo.

Pros

• Broadest client support of the volume-ranked entries.
• Fully public 4-tier pricing.

Cons

• No free MCP tier, $117+/month is the floor.
• G2 reviewers report friction getting refunds on auto-renewed annual plans.

Why it's ranked #6. Semrush clears ZoomInfo's 390 monthly searches by 70, helped by public API docs at a maturity level ZoomInfo's GitHub-and-documentation rollout doesn't yet match.

Best fit: enterprise sales orgs that need the largest available contact database queryable by an agent, and can absorb a five-figure annual contract.

ZoomInfo's MCP server connects its 500M-plus profile database to AI models via a documented setup on zoominfo.com, naming 16-plus individual tools including Search Companies, Search Contacts, Search Intent, and Search Scoops, plus a set of "Context Agentic" research tools. Its review on this site covers the core platform.

This site's Apollo.io vs. ZoomInfo comparison weighs the two contact databases directly. ZoomInfo also carries a spot in this site's revenue intelligence software ranking.

Key features

• An agent runs Search Companies with firmographic filters, then Enrich Companies on the top matches to build a target-account list.
• An agent runs Search Contacts to find VP-level buyers at a target account, then Enrich Contacts for verified email and phone before outreach.
• An agent runs Search Intent to surface accounts showing in-market buying signals, then Account Research to draft a pre-call briefing.
• An agent runs Search Scoops to catch a real-world trigger, like a leadership change or funding round, & times outreach around it.
• An agent runs Find Similar Companies off a closed-won account to build a lookalike prospect list.
• An agent runs Contact Research to assemble a full briefing on a specific buyer, combining ZoomInfo data with CRM context.

Pricing

No public list price; Vendr tracks a $33,500/year median across 1,571 purchases, range $7,200–$156,000.

Pros

• Largest contact & company database of any server ranked here.
• The most granularly documented tool list of any entry, down to credit cost per call.

Cons

• No published price, every buyer negotiates in the dark.
• Configuration is a one-time manual step over a zero-install hosted endpoint.

Why it's ranked #7. ZoomInfo sits 70 searches behind Semrush (390 vs. 460) but ahead of Clay's 370, and its named-tool documentation is the most granular of any server in this list.

Best fit: GTM and RevOps teams building enrichment and outreach workflows who want an agent to trigger Clay tables directly.

Clay's MCP server, documented at developers.clay.com, groups its capability into three moves: finding contacts by natural-language search, enriching leads through 200-plus data providers in one place, and pushing validated prospects into a sequencer or CRM. Its review on this site covers the enrichment platform underneath.

Clay carries a spot in this site's data enrichment tools ranking. A separate pricing breakdown runs every tier in full.

Key features

• A rep prompts an agent to search Clay's database in natural language for contacts matching an ICP, returning up to 1,000 results.
• A rep triggers a Clay enrichment "Function" to run a waterfall across 200-plus providers & attach a verified work email or phone to a shortlist.
• A rep invokes an Ops-built custom Function, like lead scoring, from inside the AI tool to prioritize a batch of leads.
• An agent checks a new contact list against the CRM through Clay MCP, filtering out duplicates before adding net-new records.
• An agent pushes validated, enriched contacts from a chat session straight into the sequencer under Ops-governed write rules.
• An agent pulls a centralized Clay Audience, combining first- and third-party signal data, to decide which accounts to work first.

Pricing

Launch plan $167/month ($134 annual), 15,000 actions and 3,000 data credits/month; free plan 500 actions/100 credits.

Pros

• Widest tool count outside Instantly and Seamless.AI.
• Free tier to test before paying.

Cons

• Data is metered separately from actions, so entry-tier credits run out fast.
• G2 reviewers note a real learning curve on the table-based workflow builder.

Why it's ranked #8. Clay edges out FactSet by 70 monthly searches (370 vs. 300) and is the only entry in this stretch of the list with fully public dollar pricing, though FactSet's server exposes nine named financial datasets against Clay's GTM-only focus.

Best fit: equity research and investment teams that need financial fundamentals, estimates, and ownership data inside an AI workflow.

FactSet announced what it called the industry's first production-grade MCP server in a December 16, 2025 press release, after running a beta with 45 firms and more than 800 users, exposing 9 named content datasets over a plain numbered tool list. Its review on this site covers the data platform underneath.

This site's FactSet vs. Bloomberg comparison weighs the two platforms directly. FactSet also carries a spot in this site's financial data providers ranking.

A separate pricing breakdown covers what Vendr's buyer data shows.

Key features

• An agent pulls a company's consensus EPS or revenue estimate before drafting a pre-earnings note.
• An analyst has the agent pull a target's ownership table to flag activist or index-fund concentration ahead of a call.
• A corp-dev team has the agent screen recent global M&A deals in a sector as comparable-transaction inputs for a pitch.
• A research assistant cross-references a company's geographic revenue exposure before a tariff-impact memo.
• An agent builds a one-page company brief combining fundamentals, pricing history, and upcoming calendar events.
• A strategist has the agent map a company's supply-chain relationships to assess concentration risk.

Pricing

No public price, quote-only; Vendr tracks a $25,160/year median, range $4,200–$28,179.

Pros

• Broadest named-dataset coverage of any server ranked here.
• Ran a real beta before GA.

Cons

• Quote-only pricing, no published floor.
• A Verified User in Financial Services wrote on G2 that their bank is considering dropping FactSet over its pricing against Capital IQ, a named competitor.

Why it's ranked #9. FactSet leads DataForSEO by 60 searches (300 vs. 240) on the strength of a formal, beta-tested December 2025 launch, a maturity signal DataForSEO's blog-announced rollout doesn't carry in public documentation.

Best fit: developers and agencies who want raw SEO and SERP data at API scale, billed by usage & not a monthly seat.

DataForSEO's current MCP server, an open-source TypeScript project under the vendor's own GitHub org, takes a different shape than most servers on this list. It skips dozens of named endpoints for exactly 4 tools: three for documentation lookup and one generic api_request tool that calls any DataForSEO REST endpoint by path. Its review on this site covers the API suite underneath. A dedicated DataForSEO MCP review covers the v3 redesign, setup and per-request costs in more depth.

A separate pricing breakdown runs the pay-as-you-go math in full.

Key features

• An agent searches the docs tool to find the right SERP endpoint, then calls it to pull live Google organic rankings for a target keyword.
• An agent builds a competitor backlink audit by hitting the backlinks-summary endpoint through the generic request tool.
• An agent scores a page's Core Web Vitals by calling the on-page Lighthouse endpoint before a content edit ships.
• A developer lists available API categories before wiring a new integration, no guessing which endpoint exists.
• An agent chains a docs lookup into an endpoint call to fetch search-volume data for a full keyword list in one pass.

Pricing

Pay-as-you-go, $50 minimum payment, no subscription required.

Pros

• Largest keyword database in this list.
• Open-source server code inspectable before deployment, no black box.

Cons

• Help center guides give three different server URLs, and the npm package needs Node.js 22 or newer.
• A Founder reviewing it on G2 said it stood out against Ahrefs and Semrush on price, but reviewers moving from consumer tools like Ubersuggest describe a real learning curve reaching raw API access.

Why it's ranked #10. DataForSEO outranks Apollo.io by 80 searches (240 vs. 160) and backs its server with a 5-billion-plus keyword database, though its $50 minimum only beats Apollo's per-user pricing for single-user, low-volume use.

5B-plus keyword database, one generic API tool

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Best fit: smaller sales teams that want a contact database and an AI-callable server without an enterprise contract.

Apollo.io's MCP plugin, maintained under the vendor's own GitHub org, names 12 underlying tools bundled into four callable skills covering prospecting, enrichment, sequencing, and analytics. Its review on this site covers the core prospecting platform.

Apollo.io carries a spot in this site's lead intelligence software ranking.

Key features

• An SDR agent searches for RevOps heads at 50 to 200-employee US SaaS companies in one call.
• Before outreach, an agent bulk-matches a lead list against Apollo's database to enrich it with verified emails and titles.
• An agent logs a newly qualified prospect into the Apollo workspace mid-conversation, no separate CRM step.
• A rep asks an agent to find a named sequence, then enroll a fresh batch of contacts into it.
• A manager has an agent pull a sequence-level analytics report to summarize reply and open rates for a weekly standup.
• An agent checks which sending mailbox has deliverability headroom before a send, to keep a domain out of spam folders.

Pricing

Free ($0, 900 credits/year); Basic $49/user/mo; Professional $79/user/mo; Organization $119/user/mo (3-user minimum).

Pros

• Fully public 4-tier pricing from free to $119/user, levels the playing field against enterprise-only contact tools.
• Database roughly half ZoomInfo's size at a fraction of the cost.

Cons

• Per-user pricing scales fast for a growing team.
• A G2 reviewer described replacing a separate ZoomInfo subscription after consolidating onto Apollo, evidence the two overlap enough to force that choice.

Why it's ranked #11. Apollo.io beats Similarweb by 70 searches (160 vs. 90) and publishes a full price ladder to $119/user/month. Similarweb's comparable $125/month tier covers site-traffic data; Apollo's covers a 240-million-contact GTM database.

Best fit: marketing and competitive-intelligence teams tracking traffic and channel data for named competitors.

Similarweb runs a hosted MCP endpoint at mcp.similarweb.com, documented at developers.similarweb.com, naming 24 discrete tools covering traffic, audience, ad spend, and app-store data. Its review on this site covers the traffic-analytics platform underneath.

A separate pricing breakdown runs every tier in full.

Key features

• An agent pulls a competitor's monthly traffic-and-engagement trend before a board deck.
• Before a paid-search pitch, an agent estimates a prospect's monthly search-ads budget through the PPC-spend tool.
• A sales rep's agent checks which ad tech or CMS a target account runs before outreach.
• A content team's agent pulls SERP players and SERP clicks for a target keyword to see which sites capture the traffic.
• An investor-research agent compares two rivals with audience overlap and similar-sites data to map competitive substitution.
• A mobile marketer's agent checks app-store rank and install penetration by country before timing a launch.

Pricing

Web Intelligence starts at $125/month; enterprise tiers are quote-only.

Pros

• Hosted endpoint, no local server to run.
• Published entry price.
• 24 named tools, one of the most granularly documented servers in this list.

Cons

• Covers web-traffic and channel data only, no company or contact records.
• Reviewers describe real onboarding time to map raw traffic numbers to a specific budget decision.

Why it's ranked #12. Similarweb leads AlphaSense by 10 searches (90 vs. 80) and undercuts AlphaSense's $18,000 Vendr median with a published $125/month floor, though AlphaSense's 500-million-document library serves equity research over web-traffic analytics.

Best fit: analysts who need an agent to search filings, transcripts, and broker notes over the open web.

AlphaSense's developer docs describe a runnable MCP server with two callable tools: GenSearch, a natural-language research query with a deep-research mode, and Document Search, a keyword-based lookup with filters for date, company, and source. Its review on this site covers the platform underneath.

AlphaSense carries a spot in this site's alternative data providers ranking. A separate pricing breakdown covers what Vendr's buyer data shows.

Key features

• An analyst runs GenSearch in deep-research mode to draft an investment-memo-grade summary on a target company.
• Ahead of an earnings call, an agent uses GenSearch's fast mode for a quick factual check on one metric.
• A researcher runs Document Search with a company filter to pull every filing mentioning a specific keyword for one issuer.
• An agent restricts a search to the last two years to surface only recent expert-call transcripts on a topic.
• A due-diligence agent chains Document Search results into GenSearch to ground an answer in specific, citable sources.

Pricing

No public price, sales-only; Vendr tracks an $18,000/year median across 39 recorded purchases.

Pros

• Document library purpose-built for investment research, worth its weight in gold for the right analyst.
• Already carries a live review on this site.

Cons

• No published pricing.
• Smallest MCP tool count (2) of any server in this list, though each one punches above its weight for what it does.

Why it's ranked #13. AlphaSense ties Crunchbase at 80 monthly searches, but its 500-million-document library and existing review on this site give it the edge on the fit criterion over Crunchbase's funding-and-company focus.

Best fit: researchers tracking funding rounds and company data on a fixed, predictable monthly budget.

Crunchbase's MCP server, launched via press release and documented at data.crunchbase.com/docs/tool-reference, names 14 tools across expert search, structured lookup, list-building, and usage metering. Its review on this site covers the core database.

Crunchbase carries a spot in this site's company data providers ranking. A separate pricing breakdown runs every tier in full.

Key features

• A VC associate asks an agent, in plain language, which Series B fintechs raised in the last 90 days.
• A sales-ops agent disambiguates a lead's company name against Crunchbase before enrichment, to avoid matching the wrong entity.
• An agent builds a repeatable prospect list from explicit criteria (industry, funding stage, headcount), then saves the matches to a list.
• An agent flags accounts with a high funding-likelihood score, drawn from Crunchbase's predictive-intelligence data, for an SDR to prioritize.
• A product-intelligence agent pulls full financials, leadership, and relationship data for one already-identified company.
• An agent tracks its own API usage against the metering tool before running a large batch of searches.

Pricing

Crunchbase Pro at $99/month billed monthly.

Pros

• Only entry in this range with a flat, published price and no sales process.
• A formal press-release launch over a quiet docs update.

Cons

• An Insights Analyst on G2 wrote that testing Crunchbase against PitchBook found enough overlap to drop one, and kept PitchBook.
• No document-level research library like AlphaSense's.

Why it's ranked #14. Crunchbase matches AlphaSense's 80 monthly searches and is the only tool in this range with zero-sales-call pricing at $99/month, but that transparency edge doesn't offset AlphaSense's larger document library under the fit criterion.

Best fit: outbound sales teams running multichannel sequences who want an agent drafting, launching, and monitoring campaigns directly.

lemlist's MCP server, documented at developer.lemlist.com and built for Claude Desktop, Claude Code, Cursor, and any other MCP-compatible client, exposes 40-plus tools across campaigns, lead search, enrichment, and multichannel sequencing. Its review on this site covers the core platform.

Key features

• An agent searches lemlist's lead database, filtering by role, company size, and signal, for a list like SaaS founders hiring SDRs in a given country.
• An agent builds and launches a multichannel sequence, email, LinkedIn, call, SMS, or WhatsApp steps, from a natural-language brief.
• An agent reads campaign performance mid-run and rewrites an underperforming step before a rep notices the drop.
• An agent enriches a lead list with verified emails and phone numbers before a sequence starts, drawing down credits separate from the flat seat fee.
• An agent checks lemwarm deliverability signals before a send, so a campaign doesn't launch into a damaged sending reputation.
• An agent authenticates through OAuth on first use, discovery, browser-based consent, and token refresh handled automatically, with no API key to copy in by hand.

Pricing

$55/month entry, the listed price tracked in this page's own master table; lemlist's product page also cites a 14-day free trial with full Multichannel access, no card required. Enrichment actions (email finding, verification, phone lookups) draw down credits separately from the seat price.

Pros

• A genuine OAuth flow, discovery, consent, token refresh, over a hand-copied API key, per the vendor's own setup docs.
• Works across Claude Desktop, Claude Code, Cursor, and other MCP clients without a separate integration build for each.

Cons

• lemlist's own marketing cites its lead database at both 600M-plus (the MCP product page) and 450M-plus (the setup docs), no single confirmed figure.
• The vendor's own docs call the tool set "a growing set of tools that evolve regularly," so the count isn't fixed the way Crunchbase's 14 tools are.

Why it's ranked #15. lemlist pulls 60 combined monthly searches for "lemlist mcp" and "lemlist mcp server," six times Seamless.AI's 10, and backs it with a fully published $55/month price against Seamless.AI's quote-only paid tiers, but neither figure reaches Crunchbase's 80 searches or AlphaSense's document-research depth, which is what keeps both tools behind Crunchbase at #14.

Best fit: sales teams already inside Seamless.AI's contact database who want prospecting and enrichment triggered from Claude directly.

Seamless.AI's MCP server launched via a company blog post on May 6, 2026, hosted at mcp.seamless.ai and reachable from Claude Desktop, Cursor, or VS Code over OAuth or an API key. Its docs, at seamless.ai/customers/blog, split the server's 54 tools into read, write, and destructive classes, each requiring separate authorization. Its review on this site covers the core platform.

A dedicated Seamless.AI MCP review covers the server's read, write, and destructive tool split in more depth. A separate pricing breakdown covers what its free and paid tiers cost.

Key features

• An SDR asks an agent to build a prospect list by role and company size, then hand the results straight to enrichment.
• An agent enriches a CRM record's email and phone fields in place, without a rep copying data between two tabs.
• An agent pulls account research and a pre-call briefing before a rep dials, drawing on Seamless.AI's own contact and firmographic data.
• An agent scores and prioritizes a batch of leads by territory, then routes the top matches to a rep's queue.
• A manager asks an agent to draft outbound sales messaging from a contact's enriched profile, skipping the blank template.
• Write- and destructive-class tools, record updates and deletions, sit behind a separate authorization step from read-only lookups, per the vendor's own docs.

Pricing

Free tier: 1 user, 50 credits a month, no card required. Pro and Enterprise are both quote-only, sized per user and per credit package, with pricing behind a sales call and no published number.

Pros

• A genuine free tier, 50 credits a month, to test the MCP server before a sales conversation.
• Splits tools into read, write, and destructive classes with separate authorization, the same caution this page recommends for every write-capable server.

Cons

• Seamless.AI's own marketing pages disagree on contact database size, 1.3B-plus on its product pages against 500M-plus elsewhere, a contradiction this site's own Seamless.AI vs. ZoomInfo comparison flags directly.
• A 10-search-a-month combined footprint for "seamless.ai mcp" queries, the thinnest measured search interest of any tool on this page with its own profile card.

Why it's ranked #16. Seamless.AI's free tier and its read/write/destructive tool split match the caution this page asks of every write-capable server, but a 10-search combined footprint and quote-only paid tiers put it last among the tools with their own profile here; lemlist's published $55 price and six-times-larger search footprint edge it out for #15.