What kind of data does this MCP use for scoring?

It uses firmographic and behavioral data points, such as company size, industry, and job title, to calculate a score.

Can I change the scoring weights?

Yes, the MCP uses the weights retrieved by the query_scoring_configuration capability, allowing you to use your own specific thresholds.

Which AI clients can I use with this MCP?

You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.

What is the output of the scoring capability?

The capability returns a total score from 0 to 100, a qualification status (like MQL or SQL), and an estimated conversion probability.

How does this help my sales team?

It provides a definitive status for every lead, allowing sales teams to focus their time on the leads most likely to convert.

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.

An astronaut overseeing a futuristic data hub

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Connect Lead Scoring Calculator to ChatGPT and Claude

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn raw lead data into actionable sales priorities.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

Waiting for input…

Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 3 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-03

3 capabilities in this set.

Part of 3 available through Lead Scoring Calculator.

01
Query scoring configuration
This capability pulls your current scoring weights and qualification thresholds. It ensures your AI client uses the most up-to-date logic for MQL and SQL definitions.
02
Calculate converted score
This capability runs the weighted algorithm to produce a final result. It returns a total score, a specific qualification status, and the estimated probability of conversion.
03
Query lead profile data
This capability retrieves the raw profile information for a specific lead. It gathers the foundational attributes needed to run a score.

Real work

What teams actually run

Sales Handoff Validation

Ensure leads meet specific SQL thresholds before they are passed to account executives.

Daily Lead Prioritization

Identify the hottest leads in your database every morning to guide your outreach strategy.

Scoring Logic Audits

Check current job title weights and industry thresholds to see how they impact lead scores.

Conversion Probability Mapping

Analyze the estimated conversion rates of your current lead pool to forecast pipeline health.

Automate a task

Put Lead Scoring Calculator to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Lead Scoring Calculator works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

Building your own app? The connector is yours to use.

You don't need a client to put Lead Scoring Calculator to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

701ms average. Fast in production.

Lead Scoring Calculator is checked daily against the live service.

Daily averagePeak 922ms

Oct 3Today

Fastest day: 535ms
Slowest day: 922ms
14-day trend: Slowing+16%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 3 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Lead Scoring Calculator, so you can see the experience inside your AI.

It does not authenticate your account with Lead Scoring Calculator. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Lead Scoring Calculator Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_uoilBWK8cmCuLVgE45G5ZwaBq3LHEJq0ydM8nLWP/mcp

Claude 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.

Configuration · claude_desktop_config.jsonCopy

{
  "mcpServers": {
    "lead-scoring-calculator-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_uoilBWK8cmCuLVgE45G5ZwaBq3LHEJq0ydM8nLWP/mcp"
    }
  }
}

Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Lead Scoring Calculator in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Lead Scoring Calculator owners hand off.

Marketing and sales operations professionals who need to prioritize outreach based on data rather than intuition.

01
Marketing Operations Manager
Uses the MCP to define scoring thresholds and validate lead quality before handoff.
02
Sales Development Representative
Uses the AI client to quickly check which leads in their queue have the highest conversion probability.
03
Revenue Operations Analyst
Uses the capability to audit scoring configurations and ensure alignment between marketing and sales.

FAQ

Questions Lead Scoring Calculator owners ask.

01
What kind of data does this MCP use for scoring?
It uses firmographic and behavioral data points, such as company size, industry, and job title, to calculate a score.
02
Can I change the scoring weights?
Yes, the MCP uses the weights retrieved by the query_scoring_configuration capability, allowing you to use your own specific thresholds.
03
Which AI clients can I use with this MCP?
You can use this MCP with any compatible client, including Claude, Cursor, Windsurf, and VS Code.
04
What is the output of the scoring capability?
The capability returns a total score from 0 to 100, a qualification status (like MQL or SQL), and an estimated conversion probability.
05
How does this help my sales team?
It provides a definitive status for every lead, allowing sales teams to focus their time on the leads most likely to convert.
06
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.
07
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.
08
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.

Explore

More in Marketing Automation

Connect Lead Scoring Calculator to Claude, Cursor, ChatGPT & more

Your AI does the work. We keep it safe and sound.

Each Connector runs inside its own sealed environment.

One switch stops every agent. Instantly.

Spending limits that pause instead of surprise.

We ship only the actions that matter.

01-03

Query scoring configuration

Calculate converted score

Query lead profile data

What teams actually run

Sales Handoff Validation

Daily Lead Prioritization

Scoring Logic Audits

Conversion Probability Mapping

Building your own app? The connector is yours to use.

Lead Scoring Calculator Connector

Claude Desktop

Marketing Operations Manager

Sales Development Representative

Revenue Operations Analyst

What kind of data does this MCP use for scoring?

Can I change the scoring weights?

Which AI clients can I use with this MCP?

What is the output of the scoring capability?

How does this help my sales team?

What types of signals does the calculator use?

How configurable are the scoring rules?

What inputs are needed to get a final score?

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