# Lead Scoring Calculator MCP for AI Agents AI Agent Connect

> Lead Scoring Calculator lets you turn raw lead data into actionable sales priorities. It takes company size, job titles, and behavior to give every contact a score from 0 to 100. You'll see exactly who's ready to buy and who needs more nurturing, cutting out the guesswork from your outreach.

## Overview
- **Category:** marketing-automation
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_uoilBWK8cmCuLVgE45G5ZwaBq3LHEJq0ydM8nLWP/ai-agent-connect
- **Tags:** lead-scoring, mql, sql, firmographics, behavioral-data, conversion-rate

## Description

Lead Scoring Calculator lets you turn raw lead data into actionable sales priorities. Imagine your sales team spending hours calling people who aren't even ready to talk. This Connector changes that by giving your agent a way to rank every lead based on actual data rather than gut feelings. Instead of just looking at a list of names, you can have your agent pull company profiles and cross-reference them against your specific qualification rules. It handles the heavy lifting of math and logic to tell you who fits the MQL or SQL criteria right now. Because it's part of the Vinkius catalog, you can plug it into your existing workflow and let your agent do the sorting while you focus on closing deals. It takes the mess of firmographics and behavioral signals and turns them into a clear priority list. You'll know exactly which accounts to target first because the system calculates the conversion probability for you. No more guessing if a lead is warm or cold because the data tells you the truth. You can set specific thresholds for different regions or job titles, ensuring that your agent always follows your exact playbook. This moves your team away from manual spreadsheets and into a system where high-value opportunities are flagged the moment they appear. You'll get a clear view of your pipeline health and spend your energy where it actually moves the needle. By automating the calculation of conversion probabilities, you can spot trends in your lead flow that were previously hidden. Whether you're looking for enterprise-level accounts or small business targets, the system adapts to your specific criteria. It's about making sure your best people are talking to the best leads at the right time.

## Tools

### calculate_converted_score
This tool gives you a final score and a status like SQL or MQL. It helps you see exactly how likely a lead is to convert.

### query_scoring_configuration
This pulls your specific weights and qualification limits. It ensures your agent uses the right rules for every lead it checks.

### query_lead_profile_data
This retrieves the basic info like company size and industry for a lead. It provides the raw data needed to make smart scoring decisions.

## Prompt Examples

**Prompt:** 
```
Check lead L12345 and tell me if they are ready for a sales call.
```

**Response:** 
```
I've analyzed the profile for L12345. Based on their Director title and company size, they scored an **88/100**. They are currently classified as a **Hot Lead** with a **high conversion probability of 85%**.
```

**Prompt:** 
```
What are our current rules for an MQL in the UK?
```

**Response:** 
```
According to the current configuration, a lead in the UK needs a minimum score of 80 to be considered an MQL. The Director job title currently adds 30 points to the total score.
```

**Prompt:** 
```
Give me a summary of the conversion chances for our last 5 leads.
```

**Response:** 
```
| Lead ID | Score | Status | Probability |
|---|---|---|---|
| L99 | 92 | SQL | 90% |
| L88 | 75 | Warm | 60% |
| L77 | 40 | Cold | 15% |
| L66 | 82 | MQL | 70% |
| L55 | 95 | SQL | 95% |
```

## Capabilities

### Pull company and job data
Get the basic details for any lead in your database.

### Fetch custom scoring rules
Load your specific scoring weights for different industries or regions.

### Rank leads by readiness
See a 0 to 100 score for every contact you're tracking.

### Identify MQLs and SQLs
Automatically categorize leads based on your internal thresholds.

### Predict conversion chances
Get a percentage estimate on how likely a lead is to close.

## Use Cases

### SDR Prioritization
An SDR asks the agent to find all Hot leads in the Northeast who have a Director title to start their morning calls.

### MQL Audit
A marketing manager checks if the current scoring weights are actually producing high-quality SQLs for the sales team.

### New Market Entry
A team wants to see how leads in a new industry sector score compared to their usual targets using query_lead_profile_data.

### Bulk Lead Review
A growth lead asks the agent to summarize the conversion probability for the last 50 signups to identify trends.

## Benefits

- Stop wasting time on cold leads by using calculate_converted_score to filter your outreach list.
- Keep your criteria consistent across teams by pulling weights from query_scoring_configuration.
- Get a clear picture of your pipeline with automated MQL and SQL labels.
- Identify high-value targets faster by using query_lead_profile_data to scan firmographics.
- Predict which deals will close first with the estimated conversion probability from your agent.

## How It Works

The bottom line is you get a prioritized list of high-value leads without doing any manual math.

1. Your agent gathers the lead's profile info and job titles.
2. It pulls your specific scoring weights and qualification limits.
3. It outputs a final score, a status like Hot or SQL, and a conversion probability.

## Frequently Asked Questions

**How does the Lead Scoring Calculator help my sales team?**
It automatically ranks your leads so your reps know exactly who to call first, saving them from chasing cold contacts.

**Can I use the Lead Scoring Calculator for different industries?**
Yes, you can update the scoring weights and thresholds to fit any industry or region you target.

**Does the Lead Scoring Calculator identify MQLs and SQLs?**
It identifies them automatically based on the scoring rules you set up in your configuration.

**What kind of data does the Lead Scoring Calculator use?**
It looks at firmographics like company size and job titles, along with other behavioral data points.

**Can I see the conversion probability for my leads?**
Yes, the Connector provides an estimated percentage chance of a lead converting based on your specific scoring logic.

**How does the Lead Scoring Calculator improve my marketing ROI?**
By focusing your budget and effort on Hot leads with high conversion probabilities, you spend less on low-quality leads.

**What types of signals does the calculator use?**
The scoring model is comprehensive. It combines static **Firmographic Signals** (like company size and industry sector) retrieved via `query_lead_profile_data` with dynamic **Behavioral Signals** (such as page visits or emails opened). The final score weights these signals to give a true picture of intent.

**How configurable are the scoring rules?**
The model is highly flexible. It fetches all necessary weights and thresholds using `query_scoring_configuration`. This allows administrators to adjust the importance of any attribute (e.g., boosting the value of a 'Director' title) without changing core code.

**What inputs are needed to get a final score?**
To calculate the final result, three pieces of information are required. First, you need raw lead data using `query_lead_profile_data`. Second, you must provide the scoring weights from `query_scoring_configuration`. These inputs feed into the core function, `calculate_converted_score`, which provides the total score and status.