Business Problem
Sales teams waste time on unqualified leads because CRM data is incomplete and scoring is based on gut feeling rather than data. High-value leads slip through the cracks.
Solution Overview
Connect Salesforce MCP Server with Clearbit and LinkedIn MCP Servers to automatically enrich lead profiles, score based on firmographic and behavioral data, and prioritize the sales pipeline.
Implementation Steps
Enrich Lead Data
When a new lead enters Salesforce, automatically enrich with company data from Clearbit.
Score Leads
Apply a scoring model based on company size, industry, funding stage, technology stack, and engagement.
Prioritize Pipeline
Rank leads by score and alert sales reps about hot leads via Slack.
async function enrichAndScore(lead) {
const company = await clearbit.enrichCompany({ domain: lead.email.split('@')[1] });
const score = calculateScore({ revenue: company.metrics.annualRevenue, employees: company.metrics.employees, industry: company.category.industry });
await salesforce.updateLead({ id: lead.id, company_size: company.metrics.employees, lead_score: score });
if (score > 80) await slack.sendMessage({ channel: '#hot-leads', text: `🔥 High-score lead: ${lead.name} (${score})` });
}Track Conversion
Monitor how scored leads convert through the funnel to continuously improve the scoring model.
Code Examples
function calculateScore(data) {
let score = 0;
if (data.revenue > 10000000) score += 30;
else if (data.revenue > 1000000) score += 20;
if (data.employees > 100) score += 20;
if (['technology', 'finance'].includes(data.industry)) score += 15;
return Math.min(score, 100);
}