"A guide for using sentiment analysis to identify investment opportunities" matching MCP servers:

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

Provides a suite of MCP tools for evidence-grounded investment research, including time-bounded search of reports and news, thesis verification against subsequent events, market response calculations, and generation of validated research briefs.

Turkish sentiment anlaysis with MCP

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

An evidence-first investment research MCP server that combines official disclosures, market data, and domain-specific evidence for Korean biotech companies like Samsung Biologics, Daewoong Pharmaceutical, and Lunit.

A small MCP server exposing investment-data tools (search_companies, get_company) over a synthetic firmographic dataset, enabling natural language queries for company information.

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 free public investment research tools including stock quotes, SEC filings, macroeconomic indicators, and clinical trial searches without requiring API keys.

A lightweight Gradio application that analyzes text for sentiment (positive/negative) and sarcasm detection using Hugging Face Transformers, designed to run on CPU and compatible with the MCP server architecture.

A production-grade MCP server that provides tools to fetch historical stock data, company information, and technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands) via yfinance, and includes a Flask web dashboard for visual analysis.

Provides real-time Korean stock market data, including stock prices, rankings, investor trends, and derivatives, via the Korea Investment & Securities OpenAPI. Enables AI models to query and analyze Korean financial data through natural language.

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

Enables AI agents to access and manage project guidelines, documentation, and context through a structured content system with template support and workflow management.

A beginner-friendly Model Context Protocol (MCP) server that helps users understand MCP concepts, provides interactive examples, and lists available MCP servers. This server is designed to be a helpful companion for developers working with MCP. Also comes with a huge list of servers you can install.

Provides access to clean code guide documents and enables code quality inspection of external project files based on coding standards and best practices.

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 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.

Provides a hello and echo tool for basic interaction.

A deterministic read on Hacker News developer sentiment for any brand, tool, or library, exposing four MCP tools for sentiment summary, mention search, feature requests, and trending discussions.

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