Call Score: AI Call Review & QA for Receptionists and Sales

io.github.Nero-Enginev0.1.0Updated Oct 2, 2026

Score call recordings: booked or lost, lead quality, missed questions, 0 to 10 score, next step

VerifiedStreamable HTTPWeb executableBusiness & Commerce

Overview

AI-generated overview

Scores call recordings for booked or lost outcomes, lead quality, missed questions, a 0-10 rating, and next steps.

What it does
This remote MCP server reviews call recordings and returns a quality assessment. According to its description, it scores each call as booked or lost, rates lead quality, flags missed questions, assigns a 0 to 10 score, and suggests a next step. It is hosted by Apify and reached over streamable HTTP.
When to use it
Useful for receptionist or sales teams that want automated QA on recorded calls without listening to each one. It fits workflows where calls need consistent scoring and follow-up suggestions at scale.
Requirements
A remote endpoint at mcp.apify.com over streamable HTTP. An Apify API token is required, sent in the Authorization header as a Bearer token. Runs are billed per event to the Apify account.
Before you install
The Authorization header carries an Apify API token, a secret that should be kept private. Usage is billed per event to the Apify account, so costs can accumulate. Call recordings are sent to a third-party service for scoring.

Installation

In SourceWeft

  1. Open Call Score: AI Call Review & QA for Receptionists and Sales in the dashboard and add it to a workspace.
  2. 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.

Other MCP clients

Add this to your client's mcpServers config.

{
  "mcpServers": {
    "call-score": {
      "type": "http",
      "url": "https://mcp.apify.com/?tools=nerolabs/call-score"
    }
  }
}

Tools

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Version history

1
  1. v0.1.0LatestOct 2, 2026