Retrieve sentiment analysis scores and labels (positive, neutral, negative) for customer conversations to evaluate overall sentiment direction.
MIT
134,669 tools. Last updated 2026-05-22 23:27
"Exploring Sentiment Analysis with Google NLP" matching MCP tools:
- Audit your online reputation across review platforms. Get a reputation score, sentiment analysis, response rate, and recommendations for improvement.MIT
- Fetch Google Trends data including interest over time, geographic breakdowns, and related topics/queries. Supports multiple queries, custom dates, and categories for demand forecasting and seasonality analysis.MIT
- 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
- Find online brand mentions with source, sentiment, and context. Monitor brand reputation across the web.MIT
- 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
Matching MCP Servers
- Alicense-qualityBmaintenanceSentiment Analysis AI - MCP server providing AI-powered tools and automation by MEOK AI LabsLast updated97MIT
- AlicenseBqualityBmaintenanceNLP without the bloat — 45 tools for sentiment, keywords, readability, summarization. Zero heavy dependencies. 42KB wheel.Last updated451MIT
Matching MCP Connectors
Toxicity, sentiment, NER, PII detection, and language identification tools
Find local businesses on Google: name, address, phone, hours, ratings, and photos.
- Visualize Bitcoin market sentiment using a logarithmic growth curve with color bands to identify potential buy or sell areas based on historical valuation patterns.MIT
- Retrieve Google Play Store category identifiers for filtering apps in market research and competitor analysis.MIT
- Retrieve raw feedback-score distribution time-series data with per-score buckets to analyze sentiment mix over time. Enterprise-gated.MIT
- Retrieve detailed feedback information including customer data, reporter details, sentiment analysis, and associated items to understand user input context.MIT
- Analyze codebases and design user interfaces using Google Gemini's visual understanding and detective capabilities for rapid prototyping and comprehensive analysis.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
- Analyzes domain keyword presence across Google regions to identify optimal regional database for SEO analysis, ensuring correct market context by comparing keyword counts and regional performance.MIT
- Get social sentiment score for a PulseChain token based on categorized events (partnerships, exploits, dumps). Provide token symbol to retrieve aggregated sentiment from -100 to +100. API key needed.MIT
- Retrieve key market sentiment indicators including VIX fear index, financial conditions, stress index, and consumer sentiment to gauge market mood and risk perception.MIT
- Retrieve user reviews for Google Play apps to analyze feedback, track ratings, and understand customer sentiment for market research and competitor analysis.MIT
- Retrieve and analyze management statements with sentiment and source attribution to assess company leadership communication.MIT
- Analyze hourly sentiment scores from Twitter, Reddit, and news sources to gauge market sentiment. Provides concise summaries of key events for informed cryptocurrency decisions.TypeScript
- Identify semantically similar elements in DollhouseMCP using NLP scoring to discover related personas, skills, templates, agents, memories, or ensembles based on Jaccard similarity and Shannon entropy analysis.
- Retrieve endpoints for social media analytics, sentiment analysis, influencer tracking, and trend detection across crypto, stocks, and NFTs. Analyze engagement metrics, track virality, and monitor real-time social sentiment with comprehensive indicators.MIT