INDIVIDUAL MCP TOOL

describe_access

What the credential on this session is allowed to do: the role it resolved to (ingest / read / write / admin / anonymous), the shop it is confined to, and which tools that opens.

salesentry.appnone authenticationAvailability not checked

LIVE ENDPOINT

https://salesentry.app/mcp

No auth detected

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

Indexed input schema

{}

Risk classification

Potential side effects detected · medium confidence · heuristic, not a guarantee.

A tool name or description contains a write-action term.
A tool name, description or schema mentions credentials.

Parent server

salesentry.app

CONNECT WITH APPROVAL

Client installation

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.

Related tools

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