"Exploring Sentiment Analysis with Google NLP" matching MCP servers:

Sentiment Analysis AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

Enables end-to-end analysis of Reddit discussions: fetches posts, performs sentiment and toxicity detection, generates visualizations and word clouds, and optionally builds Neo4j knowledge graphs, all through natural language orchestration.

NLP without the bloat — 45 tools for sentiment, keywords, readability, summarization. Zero heavy dependencies. 42KB wheel.

Turkish sentiment anlaysis with MCP

An MCP server that delivers cryptocurrency sentiment analysis to AI agents.

Enables dependable Arabic text normalization and search preparation for RAG and deduplication, with typed outputs, stable fingerprints, and experimental dialect, sentiment, and diacritization tools.

An MCP server that enables advanced CSV analysis and data visualization using Google's Gemini AI and Plotly. It allows users to perform exploratory data analysis, generate interactive charts, and conduct complex reasoning on tabular data.

MCP server for alive-analysis. Query, search, and retrieve structured analysis history written with the ALIVE loop (Ask→Look→Investigate→Voice→Evolve), plus dashboard JSON export.

MCP server that audits Brazilian parliamentary speeches for hate speech and offensive language using a fine-tuned BERTimbau classifier, returning classification, confidence, and human review recommendations.

Provides news sentiment scores and media volume trends for any topic, enabling AI assistants to analyze whether news coverage is positive or negative.

A robust MCP server for real-time sentiment analysis with AI-powered insights, featuring multi-dimensional emotion detection, batch processing, and a Gradio web interface.

Provides sentiment analysis with emotion detection, confidence scores, and key phrase extraction for single texts or batches up to 20, using pay-per-call via x402 micropayments (USDC on Base L2).

Provides real-time XLM (Stellar) market sentiment as a tool, computed from a keyless composite of the Crypto Fear & Greed Index, SDEX order-flow imbalance, and 24h price momentum. Enables users to get deterministic sentiment scores and market data without any API keys or paid data feeds.

Enables AI harnesses to maintain a persistent memory layer backed by a local SQLite file, providing MCP tools to add, search, deprecate, and synchronize facts without deleting history.

Connect your LLMs to SQL databases safely and intuitively using the Model Context Protocol (MCP). NLP Database acts as a secure, read-only bridge that allows AI agents to explore schemas and query data using natural language.

Provides a hello and echo tool for basic interaction.

MCP server for Claude Code CLI that integrates with Google Workspace, enabling management of Docs, Sheets, Drive, Gmail, Calendar, and Apps Script.

Provides news sentiment scores, media volume trends, and historical coverage data for any topic, enabling AI to analyze positive or negative coverage over time.

This server implements the Model Context Protocol to provide sentiment analysis of text, returning polarity, subjectivity, and overall assessment (positive, negative, or neutral).

Algorithmic text and NLP analysis server providing sentiment, readability, keyword extraction, language detection, stats, and more via REST and MCP.