$ loading_
Score prospects and monitor pipeline health using ICP, RFM, and growth signals.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Artefact Revenue Intelligence MCP Server" yet — see the docs or source repo.
Using the ICP Triangulation Framework, score this prospect list across firmographics, behavioral signals, and growth signals, then return the top 10 high-priority accounts with reasons.
A ranked prospect list with scoring factors explained and a shortlist of accounts to prioritize.
Run an RFM analysis on our customer data to identify high-value customers, dormant users, and churn-risk segments, then suggest actions for each group.
Segmented RFM results, summaries of each customer group, and recommended actions for every segment.
Analyze current pipeline health, identify stalled stages, abnormal conversion rates, and high-risk opportunities; include HubSpot data if available.
A pipeline health score, diagnosis of weak stages, and actionable recommendations for improvement.
Helps B2B teams detect revenue signals, score pipeline health, and suggest GTM changes.
Analyze e-commerce data to uncover customer, product, delivery, and sales insights.
Enrich prospects, scrape LinkedIn, and sync CRM records with natural language.
Audit HubSpot CRM data, flag risky deals, and get RevOps fix guidance.
Provide AI agents with business context for e-commerce operations workflows.
Enable AI to safely analyze business metrics without improvising raw SQL.