INDIVIDUAL MCP TOOL

segment_analysis

How cohorts relate: shared steps, shared accounts and shared channels, rolled up into market segments.

salesentry.appnone authenticationAvailability not checked

LIVE ENDPOINT

https://salesentry.app/mcp

No auth detected

Connect to this endpoint to inspect the live schema for segment_analysis and invoke it with your own arguments.

{}

Inferred read-only · medium confidence · heuristic, not a guarantee.

No write-capable action terms were found; this is not proof that invocation has no side effects.

CONNECT WITH APPROVAL

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.salessentinel-mcp]
url = "https://salesentry.app/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "salessentinel-mcp": {
      "type": "http",
      "url": "https://salesentry.app/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: salessentinel-mcp
Remote MCP URL: https://salesentry.app/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "salessentinel-mcp": {
      "url": "https://salesentry.app/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "salessentinel-mcp": {
      "type": "http",
      "url": "https://salesentry.app/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "salessentinel-mcp",
  "transport": "streamable-http",
  "url": "https://salesentry.app/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

visitor_lookup — Profile for one visitor: decayed intent and friction scores, state, journey depth, top steps, cohort membership, corroborating sources and lifetime revenue.
predict_journey — JRI-VBRL forecast of the funnel steps a visitor is most likely to take next, with the similarity-weighted probability that the journey ends in a purchase and what it is worth.
funnel_analytics — Stage-by-stage funnel over the journeys in the retrieval window: reach, drop-off, conversion rate per stage, and the stage where the most journeys are lost.
friction_report — Where journeys die, ranked by how much the loss costs, each with a concrete recommendation.
channel_performance — Acquisition channels with visitors, conversion rate, revenue per visitor, a volume-damped quality index, and the live intent still open in each channel.
cohort_analysis — Behavioural cohorts discovered by journey similarity, with member counts, mean intent and friction, conversion rate and revenue.
journey_signatures — Cohort journey shapes with every visitor identifier stripped out — the exportable audience definitions, safe to paste into a CDP or an email tool.
experiment_results — Treatment against the held-out control for every action: conversion rates, absolute and relative uplift, a two-proportion z score and incremental revenue per impression.