- MQL
- SQL
- LOW
- MANUAL
Short answer
How can I automate lead qualification with my AI?
Your AI pulls lead data and applies your custom scoring weights to categorize every prospect. You get a clear breakdown of which leads are MQLs and which are SQLs. This process turns raw data into actionable sales targets.
Where every lead lands.
The outcomes of automated scoring
The AI sorts your incoming data into these specific buckets.
MQL
Marketing Qualified Leads
The AI identifies prospects that meet your engagement thresholds. These are ready for nurturing campaigns.
SQL
Sales Qualified Leads
High-value prospects that hit your strictest scoring criteria. These go straight to your sales team.
LOW
Low priority leads
Prospects that don't meet the minimum score. The AI flags these for later review or automated drip sequences.
MANUAL
Human review needed
Leads with ambiguous data or conflicting signals. You decide how to handle these edge cases.
The workflow
What your AI does when the lead arrives.
The AI follows your logic to move from raw data to a final status.
Fetch lead data
The AI pulls the necessary profile details from your connected source.
query_lead_profile_dataLoad scoring rules
Your agent looks up your specific weighted logic and thresholds.
query_scoring_configurationRun the math
The AI applies the weights to the profile data to find the final score.
calculate_converted_scoreAssign status
The AI compares the final score against your MQL and SQL definitions to categorize the lead.
calculate_converted_score
Try it
Copy these to start.
Use these prompts to trigger the scoring process.
Starting points
These are just ways to kick things off. Swap out the specific sheet or CRM name for yours.
Lead Scoring Calculator Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_uoilBWK8cmCuLVgE45G5ZwaBq3LHEJq0ydM8nLWP/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Lead Scoring Calculator capabilities are ready to use.
{
"mcpServers": {
"lead-scoring-calculator-mcp": {
"url": "https://edge.vinkius.com/vk_preview_uoilBWK8cmCuLVgE45G5ZwaBq3LHEJq0ydM8nLWP/mcp"
}
}
}Score the leads in my 'Q3 Prospects' Google Sheet.
Check the latest profiles from my HubSpot integration and tell me which are SQLs.
Run the scoring logic on the contacts listed in this CSV file.
Analyze the leads from my recent webinar signup list and categorize them.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Lead Scoring Calculator once, then ask.
You only need to link your data source once. Your credentials stay encrypted, and you can immediately start asking your AI to score leads.
Connect Lead Scoring Calculator to your AIFAQ
How the scoring works
- 01
Can the AI change my scoring rules?
No. The AI only reads your existing configuration to perform the math. You must update your rules manually in your source system.
- 02
Will the AI delete any of my leads?
No. This MCP only reads profile data and calculates scores. It has no capability to delete or modify your original lead records.
- 03
How does it know which leads are SQLs?
It uses the weighted logic you have defined in your scoring configuration to compare the calculated score against your thresholds.
- 04
Can I use this with any CRM?
It works with any data source you can provide to your AI client, provided the data is accessible through the profile query tool.
- 05
Does the AI decide which leads a human should call?
The AI identifies leads that fall into the 'needs human review' category based on your scoring gaps, but you make the final call.
More questions about Lead Scoring Calculator? The Connector page answers them. See everything the Lead Scoring Calculator Connector can do
Connect Lead Scoring Calculator to Claude, Cursor, ChatGPT & more
