Enrich B2B company profiles with firmographic, technographic, and intent data.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "lead-enrichment-mcp" yet — see the docs or source repo.
Enrich these B2B companies with structured data, including firmographic details, technographic signals, and intent signals, then return the results in a table: Acme Corp, BetaCloud, Northwind Systems.
A structured table for each company with firmographic details, technology usage, and intent-related signals.
Enrich a target company list with firmographic, technographic, and intent data, and output structured fields suitable for downstream lead scoring.
A normalized set of fields that can be used for lead scoring or segmentation.
Generate target account profiles with emphasis on firmographic attributes, technology stack, and buying-intent signals for marketing and sales review.
Structured company profile summaries for account research and go-to-market planning.
Marketing teams can use it during ABM or list qualification to add firmographic, technographic, and intent signals to B2B accounts, reducing manual research time.
Sales or pre-sales teams can enrich company profiles before outreach to quickly understand business background, technology environment, and possible demand signals.
Data analysts can use it to expand raw account lists into structured datasets better suited for analysis, segmentation, or downstream modeling.
It enriches B2B company profiles with structured data, especially firmographic, technographic, and intent signals.
Based on the description, it returns structured fields covering firmographic details, technology-related information, and intent signals. For exact field definitions, see the source repository.
The provided information does not specify installation steps, runtime requirements, or API key prerequisites. See the source repository for details.
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