#sentiment

MCP Server - get a heat check headlines

Custom MCP Server that provides real-time stock sentiments

Real-time trend data from Google Trends (Search, Images, News, Shopping), YouTube, TikTok, Reddit, Amazon, Wikipedia, X (Twitter), LinkedIn, Spotify, GitHub, Steam, npm, App Store, news sentiment and web traffic via one MCP connection. Free API key, no credit card required.

A basic server using the Model Context Protocol, around text sentiment

MCP server to facilitate Sentiment Analysis

Projects on MCP server

We design and operate proprietary signal systems that turn noisy market, macro, and media data into structured, calibrated intelligence — exposed through web dashboards, a Signals API, and a public MCP server any AI assistant can reason over directly. The eight pillars Every product above reads from the same nightly signal pipeline (00:05–04:05 UTC) organised into eight analytic pillars: Composite risk monitor — 0–100 regime score with AR / turbulence / GDELT decomposition, extended by a 4-way liquidity gate. Financial turbulence — cross-asset covariance regime with Markov transition probabilities. Systemic fragility — three-tier Absorption Ratio alerts plus per-asset PC1 / PC2 eigenvector history. Media sentiment — GDELT-derived tone, volume, and outliers across 27+ assets plus a global geopolitical tension gauge. Global liquidity — GLI composite with policy / private-sector / cross-border sub-indices and regional breakdown. Statistical arbitrage — 550+ security scanner for oversold and overbought mean-reversion candidates. AI-generated intelligence — cross-pillar briefings and narrative commentary, clearly flagged as synthesized vs deterministic. Supporting analytics — multi-year asset-class returns and a RAG stablecoin scorecard.

Remote-only social media MCP server for Twitter/X, Instagram, and TikTok data & insights.

Fused crypto trading signals — sentiment, macro regime, and market structure in one call

Web and data tools for AI agents. Validate emails, geolocate IPs, scrape URL metadata, analyze text sentiment, generate QR codes, and create random test data. 11 tools in one server.

Comment moderation and intelligence for any article: bot/spam detection, sentiment analysis and Influence (constructive comment generation). Multilingual.

Multi-language crypto news with editorial sentiment + importance scoring; cites original publisher.

Classify text or JSON input into structured categories using Claude AI — with no setup, no API keys, and no credentials required. Connect directly and start classifying immediately. Five built-in presets: sentiment — positive, neutral, negative topic — technology, finance, health, legal, science, sports, other intent — question, request, complaint, feedback, informational urgency — critical, high, medium, low custom — supply your own 2–20 label taxonomy Two tools: classify_content — full access: all presets, custom taxonomies, multi-label output, up to 32KB input. Billed at $0.005 USDC per call via x402 micropayment on Base mainnet. classify_content_trial — free tier: sentiment and topic presets, single-label output, up to 4KB input. No payment required. Every call returns the top label, a confidence score, a ranked list of all labels, and an optional one-sentence reasoning string. Supports plain text and JSON input. Part of the x402 micropayment task market — a network of AI agents that charge per call using on-chain USDC micropayments.