Lookalike Company Finder MCP Server
Related Servers
Alternatives to Lookalike Company Finder MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseAqualityAmaintenanceEnables users to pull portfolio company lists from Y Combinator, a16z, Sequoia, Accel, and other investors or any portfolio page URL, returning one row per company with name, domain, website, description, and stage or batch. Runs on Apify and produces Clay-ready output, with YC results filterable by batch, industry, region, status, and search terms.1350 npmMIT
- AlicenseAqualityAmaintenanceClassifies company sites as B2B or B2C and as SaaS, online store, agency, manufacturer, wholesaler, distributor, or marketplace, while matching your own buyer phrases and returning the quoted text and page as evidence. Runs deterministically on Apify, giving one row per domain with grace-free status rows for unreachable, blocked, or empty sites.179 npmMIT
- FlicenseNot gradedqualityBmaintenanceProvides competitor intelligence and private company data, including named competitors, revenue estimates, employee counts, funding totals, and firmographics from company URLs.-
- AlicenseAqualityBmaintenanceEnables AI clients to analyze any company domain and determine its AI maturity tier (commercialized, deployed, declared, or none) with supporting evidence, via a single tool backed by an Apify actor.173 npmMIT
- AlicenseAqualityBmaintenanceEnables users to convert a vendor partner directory (such as PartnerPage or the Shopify Partner Directory) or a trade body member list into one company row per listing, each carrying website, domain, tier, tags, and location for Clay-ready output. It runs the extraction on Apify, returning dataset rows for up to 20 directory URLs with optional deduping, detail enrichment, and a cost cap.165 npmMIT
- FlicenseNot gradedqualityDmaintenanceEnables competitive analysis by validating companies, identifying sectors and top competitors, and generating comparative reports with actionable insights.-
TDQS
Scored across 1 tool
There is only one tool, so there is no possibility of confusing it with another operation. Its purpose—finding lookalike companies from seed domains—is clearly stated and distinct.
The single tool name follows a clear verb_noun pattern: find_lookalike_companies. With only one tool, there is no inconsistency across the set.
The server has a narrow, well-defined purpose, and the single tool directly implements that purpose. No additional tools are needed for the stated function, and the rich parameterization is contained within one coherent operation.
The tool covers the core lookalike-company discovery workflow, including seed handling, scoring, evidence breakdown, and source controls. Minor gaps exist around run status/polling or retrieving historical results, but the primary advertised capability is fully represented.