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Detect a company’s tech stack signals for sales targeting and competitor research.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-gtm-tech-stack-signal-scraper" yet — see the docs or source repo.
Scan the public web presence of https://example.com, identify its frontend framework, analytics tools, customer support system, and cloud services, and return structured tech stack signals with evidence sources and confidence levels.
A structured tech stack list with technology names, categories, evidence links or page clues, and confidence scores.
Analyze the public websites of example1.com, example2.com, and example3.com, detect their technology stacks, and compile a comparison table focused on ecommerce, marketing automation, and analytics tools.
A competitor comparison table showing key tools used by each company and their differences.
Bulk analyze these company websites: companyA.com, companyB.com, and companyC.com, and output tech stack signal data in a standardized format for later CRM import and lead segmentation.
Standardized structured results ready for spreadsheet review, CRM import, or customer segmentation analysis.
Aggregate hiring, tech, LinkedIn, and job signals into one company report.
Detect website tech stacks and SaaS footprints for competitive and vendor research.
Scan job boards for intent signals, tech adoption, and hiring expansion opportunities.
Profile a company's tech stack, domains, SSL, and infrastructure using public data.
Extract technology signals from Hacker News to monitor trends and emerging topics.
Query website technology stacks and tools using natural language questions.