Lead Intelligence

ai.saifsPublished by saifs.aiOfficial publisherv1.0.1Updated Nov 4, 2026

Analyze and score leads to identify high-potential prospects and prioritize sales outreach.

The publisher's own server: Customer Intelligence & Segmentation

VerifiedStreamable HTTPWeb executableData & AnalyticsBusiness & Commerce

Overview

AI-generated overview

Remote MCP server that scores sales leads and returns a prioritized call, nurture or verify queue for SDRs and managers.

What you can do
  • Score a lead pipeline of up to 500 leads: conversion probability, expected time to convert, pipeline value at risk, stage outlook and per-lead ledger
  • Attribute conversions across channels with multi-touch Shapley credit
  • Produce manager decisions and a daily CALL / NURTURE / VERIFY queue for reps
  • Generate a runnable Python script to score larger exports locally when a pipeline exceeds 500 leads
When to use it
Useful when a sales team has a CRM or CSV lead export and wants to know who to contact today, which leads are going cold, how much pipeline value is at risk, or which channels actually drive conversions.
Requirements
Remote Streamable HTTP endpoint; nothing to install. OAuth 2.1 sign-in with PKCE and dynamic client registration, so the client opens a sign-in page on first use. Works with any CRM or CSV export containing a lead id and a created date; optional touch log and stage history improve results.
Before you install
Lead records, including contact and pipeline data, are sent to a third-party hosted service for scoring. Access is granted through an OAuth sign-in to your account, so review what data the export contains before submitting it.

Installation

In SourceWeft

  1. Open Lead Intelligence in the dashboard and add it to a workspace.
  2. Connect the required credentials. They are stored privately and never shown on public pages.
  3. Enable the server for the chats that should use its tools.

Web executable via Streamable HTTP. Remote servers run from the web runtime once configured in a workspace.

Use with an agent

Paste this prompt into Claude Code, Codex, Cursor or another agent — or into SourceWeft chat. The agent reads this server's install guide, shows you its publisher, endpoint and sign-in, and adds it to your client once you agree. Keys never go into a command.

Read https://sourceweft.com/mcp/ai.saifs%2Flead-intelligence/install.md and connect the MCP server it describes to my client. Before changing any config, show me its publisher, endpoint and sign-in method and wait for my OK. Never put an API key in a command or in a file I would commit; ask me where it should come from.

Read the install guide the agent follows

Other MCP clients

Add this to your client's mcpServers config. The client completes OAuth sign-in on first connect.

{
  "mcpServers": {
    "lead-intelligence": {
      "type": "http",
      "url": "https://lead-scoring-mcp.saifs.ai/mcp"
    }
  }
}

README

Lead Intelligence

Scores an open sales pipeline from lead records: probability and expected time to convert, money at risk and the value of one contact, a funnel-stage outlook, multi-touch channel credit (Shapley attribution), and a daily CALL / NURTURE / VERIFY queue for SDRs and sales managers. Works from any CRM or CSV export with a lead id and a created date.

Registry nameai.saifs/lead-intelligence
Endpointhttps://lead-scoring-mcp.saifs.ai/mcp
TransportStreamable HTTP (remote, nothing to install)
AuthOAuth 2.1 — PKCE (S256) and dynamic client registration; your client opens a sign-in page on first use
PublisherSAIFS AI

Install

VS Code / GitHub Copilot

Add to .vscode/mcp.json (workspace) or your user mcp.json:

json
{  "servers": {    "saifs-lead-intelligence": {      "type": "http",      "url": "https://lead-scoring-mcp.saifs.ai/mcp"    }  }}

Then start the server from the MCP view and sign in when prompted.

Claude (claude.ai, Desktop)

Settings → Connectors → Add custom connector, and paste:

https://lead-scoring-mcp.saifs.ai/mcp

Claude Code

bash
claude mcp add --transport http saifs-lead-intelligence https://lead-scoring-mcp.saifs.ai/mcp

Any other MCP client

Point it at https://lead-scoring-mcp.saifs.ai/mcp using the Streamable HTTP transport. The server returns 401 with a WWW-Authenticate: Bearer … resource_metadata=… challenge, so OAuth-aware clients sign in automatically.

Tools

ToolWhat it does
lead_pipelineScores up to 500 leads: conversion probabilities, pipeline value at risk, stage outlook, channel attribution, manager decisions (CALL TODAY / PUSH FORWARD / QUALIFY) and a per-lead ledger. Optional touch log and stage history improve the results.
lead_pipeline_get_engineFor pipelines over 500 leads: returns a runnable Python script that scores the export locally with no network calls.

Example prompts

  • “Here's our HubSpot lead export. Who should the team call today?”
  • “Which leads are going cold and how much pipeline value is at risk?”
  • “Which channels actually drive conversions — email, demo or webinar?”

Support

Source: servers/lead-intelligence/README.md at commit 2b4eab8

Tools

0
This server asks you to sign in, so SourceWeft could not read its tools without an account and has not indexed them. What a connected account sees can depend on that account and its permissions.

Version history

2
  1. v1.0.1LatestOct 21, 2026
  2. v1.0.0Sep 16, 2026

Score

85% of the applicable checks met

How complete this listing is, computed from the registry entry, the endpoint and public sources. Not a rating of the server and not a statement that it is safe or working today: reachability is a dated check, and no installs or reviews go into the score.

  • Reached in the last 30 daysRequired25 pts
  • Auth declaredRequired10 pts
  • Tools listed15 pts

    Answer tools/list without a credential, or ship a package that starts in a sandbox without one.

  • DescriptionRequired15 pts
  • Logo10 pts
  • Documentation15 pts
  • License10 pts

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