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

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.

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

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

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

Enables sentiment analysis of text blocks using the Api Ninjas API, returning sentiment scores and overall sentiment classification for up to 2000 characters of text.

A lightweight MCP server for linear-static structural analysis of bridges and building frames, providing tools to build 3D beam/truss models, analyze with built-in or CalculiX solvers, and export to FreeCAD.

Provides A-share (Chinese stock market) quantitative analysis through tools for stock screening, northbound capital flow tracking, dragon-tiger list analysis, margin trading, sector analysis, technical indicators, IPO info, and limit-up/down statistics using akshare data.

Enables AI assistants to access options analysis data, market research tools, portfolio risk snapshots, and platform context via 32 tools.

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.

AI-powered terrain analysis for any location on Earth. Uses super-resolution and computes environmental risk metrics including erosion, water flow, and a composite Site Intelligence Score.

Records and scores prospective equity earnings predictions made by AI agents, allowing comparison of different agent configurations.

Enables AI models to analyze audio files through numerical fingerprints, pitch tracking, and visual spectrograms without requiring direct audio playback. It provides tools for comparing audio iterations and detecting patterns using token-efficient analysis operations.

Enables MCP clients like Claude to query Chinese A-share market data, including K-line charts with forward/backward adjustment, limit-up and limit-down pools, per-stock fund flows, index quotes, and stock news, with automatic symbol normalization and retry handling for throttled data sources.

Self-hostable, read-only Taiwan stock-analysis MCP server that retrieves market data and computes reproducible indicators.

Enables querying options chains and estimating gamma exposure for ETFs and liquid underlyings, including proxy gamma calculations and historical gamma snapshots.

MCP server providing 29 A-share analysis skills including real-time data, capital flow, limit-up tracking, technical/fundamental analysis, backtesting, risk control, and Xueqiu portfolio tracking, enabling AI agents to execute market research and strategy tasks.

Enables LLM clients to access crop yield predictions from RGB imagery, topic-based PDF literature, and soil lab/moisture CSV data.

Enables aspect-level sentiment mining from customer reviews and produces satisfaction radar breakdowns with structured output for AI agents.

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.