🤖 AsyncPraiseRebuke MCP Server

Name: 🤖 AsyncPraiseRebuke MCP Server
Author: fabianwilliams

@fabianwilliams

リポジトリ

🤖 AsyncPraiseRebuke MCP Server について

MCP Server to get access to Reviews that are posted using the Async Praise Rebuke App

#asyncpraiserebuke #mcp #business-feedback

基本情報

カテゴリ

その他

ライセンス

MIT license

ランタイム

node

トランスポート

stdio

公開者

fabianwilliams

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "asyncpraiserebuke-mcp": {
      "command": "npx",
      "args": [
        "--yes",
        "@fabianwilliams/asyncpraiserebuke-mcp",
        "scanAndLogNewBusinessEmails"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is 🤖 AsyncPraiseRebuke MCP Server?

The 🤖 AsyncPraiseRebuke MCP Server is a Model Context Protocol (MCP) server that exposes business feedback and contact discovery tools for integration with Claude Desktop or any MCP‑compliant client. It provides tools to list/search customer reviews, view top/bottom‑rated businesses, discover business emails via scraping, and log entries to a Cosmos DB directory.

How to use 🤖 AsyncPraiseRebuke MCP Server?

Install the package globally with npm install -g @fabianwilliams/asyncpraiserebuke-mcp. Then configure it in Claude Desktop by adding the ClicknContactScannerAgent entry to your config, setting REVIEW_API_KEY and REVIEW_API_BASE_URL environment variables. Alternatively, run the CLI agent directly with npx --yes @fabianwilliams/asyncpraiserebuke-mcp scanAndLogNewBusinessEmails.

Key features of 🤖 AsyncPraiseRebuke MCP Server

Lists and searches all public customer feedback reviews
Views top‑rated and lowest‑rated businesses
Discovers business contact emails via scraping and heuristics
Logs new business entries to a Cosmos DB directory
Automates multi‑step email discovery with an AI agent tool
Works with any MCP‑compatible client like Claude Desktop

Use cases of 🤖 AsyncPraiseRebuke MCP Server

Automatically scan a list of business websites to find and store contact emails
Query top‑performing and underperforming locations from a review API
Search existing feedback or business directory records by partial name
Manually add a business email to the Cosmos DB directory
Chain email discovery, duplicate prevention, and logging in a single agent call

FAQ from 🤖 AsyncPraiseRebuke MCP Server

What environment variables are required?

The server needs REVIEW_API_KEY and REVIEW_API_BASE_URL to access your review API and Cosmos DB backend.

How does the email discovery tool work?

The discoverBusinessEmail tool uses ClicknContact’s scraping and heuristics to find contact emails and form fields from business websites.

Which tools are available as agents?

The discoverAndLogBusinessEmail agent automates the full workflow: it calls ClicknContact, checks your Cosmos DB directory for duplicates, and logs new businesses.