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Score companies against your ICP using firmographic and signal data.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-icp-fit-scorer" yet — see the docs or source repo.
Score this list of companies against the following ICP: SaaS industry, 50-500 employees, based in North America, with recent sales hiring and funding signals. Return total score, weighted per-criterion breakdown, and ranking recommendations.
A company fit scoring report with total scores, criterion-level breakdowns, weighting details, and follow-up priorities.
I have a prospect list. Evaluate it using this ICP: prioritize manufacturing companies, revenue above $10M, using cloud software, with website growth and technical hiring signals. Output the top 20 companies to contact and explain why.
A prioritized target account list with the key reasons and signals behind each high score.
Score the same set of companies using two ICP configurations: Version A emphasizes company size and geography, while Version B emphasizes tech stack and hiring signals. Compare the results and identify which companies change rank the most.
A comparison analysis showing scoring differences, rank shifts, and guidance on when to use each ICP model.
Run real-time competitor, review, website, and market intelligence with AI.
Calculate weighted candidate-job fit scores from skills and role requirements.
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Score structured resumes with a fixed engineering rubric and actionable feedback.
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Check AI agent reputation on ICP for trust and partnership decisions.