Track review velocity trends over time, including monthly counts, rating changes, reply rates, and sentiment themes. Identify patterns in your Google Business Profile reviews.
MIT
137,319 tools. Last updated 2026-05-19 02:06
"A tool for finding and analyzing company reviews sorted by sentiment" matching MCP tools:
- Retrieve paginated Google Maps reviews for a place using dataId or placeId, with sorting, topic filtering, and language selection. Supports reputation management, sentiment analysis, and competitor benchmarking.MIT
- Retrieve community reviews for anime or manga, including sentiment summaries, scores, and helpfulness ratios. Understand what others think about a title.MIT
- Retrieve recent news articles for any company by name. Returns titles, descriptions, sources, and publication dates from Brave Search and NewsAPI, sorted by recency.MIT
- Retrieve community reputation for an ACP agent including reviews, average rating, sentiment analysis, and market consensus to evaluate trustworthiness.MIT
- Analyze Steam game reviews to extract sentiment, common themes, and key insights. Drill down into specific topics or time periods for targeted understanding.MIT
Matching MCP Servers
- AlicenseAqualityBmaintenanceAbout Search Steam games, fetch user reviews, and analyze sentiment with topic drill-down to make informed purchasing decisions.Last updated4112MIT
- Alicense-qualityCmaintenanceEnables sentiment analysis of text blocks using the Api Ninjas API, returning sentiment scores and overall sentiment classification for up to 2000 characters of text.Last updatedMIT
Matching MCP Connectors
Search Japanese company database
News sentiment scores over time, with growth for any topic. Free key at trendsmcp.ai
- Retrieve user reviews and ratings for movies to analyze public opinions and critiques for sentiment analysis.MIT
- Analyze cryptocurrency sentiment balance by calculating positive minus negative sentiment scores for specific assets over a defined period.MIT
- Extract structured Facebook company reviews data using a valid URL and review count. This tool provides reliable access to review information without direct scraping.MIT
- Extract and analyze YouTube video comments to understand audience sentiment and gather feedback. Returns author details, comment text, likes, and dates for analysis.MIT
- Audit your online reputation across review platforms. Get a reputation score, sentiment analysis, response rate, and recommendations for improvement.MIT
- Search for businesses by category and location. Retrieve names, ratings, reviews, addresses, phone numbers, and categories for local SEO analysis.MIT
- Retrieves OpenSea listings for an NFT collection sorted by price ascending, enabling price discovery and deal identification.MIT
- Get Google reviews for a business by name and location, including review text, rating, date, author, and owner replies with sort options.MIT
- Retrieve all Google Maps reviews authored by a specific Local Guide using their contributor ID. Analyze reviewer reputation, detect fake or bot reviews, and build trust profiles.MIT
- Retrieve Amazon product reviews by ASIN with filters for star rating, reviewer type, media-only, keyword search, and sort. Returns review title, body, rating, author, date, helpful votes, and media URLs for customer analysis.MIT
- Analyze market sentiment for crypto investments by retrieving the Fear and Greed Index, which provides real-time and historical data to inform trading decisions.MIT
- Search audit findings by title, severity, or status to check for duplicates before creating a new finding or to locate a specific finding for update or evidence attachment.MIT
- Attach an asset to a finding by matching an existing asset or creating a new one. Use when specifying which asset a finding affects.MIT
- Assess Korean crypto market sentiment in English using exchange intelligence and news context from Coinness Telegram. Receive sentiment label, score, English report, and exchange signals for informed decisions.MIT