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

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

Provides financial stock analysis for U.S. public companies via SEC EDGAR APIs, offering tools to resolve companies, retrieve filings, calculate profitability metrics, compare periods, detect red flags, and get audit evidence, all without API keys.

Enables MCP clients to fetch Google Trends data for any term, including interest over time, interest by region, and related queries and topics, all as structured JSON.

Enables AI assistants to fetch real-time news from Google News RSS feeds with support for headlines, categories, location-based queries, and advanced search operators. Features automatic URL decoding, concurrent processing, and intelligent caching for optimized access to global news content.

Provides access to Google Trends data including status, trending questions, and trending topics via MCP tools.

Enables users to retrieve current daily trending Google searches for any ISO country, including approximate traffic floors and associated news coverage.

Enables searching Google's Knowledge Graph for real-world entities via two tools: search by query or lookup by Machine ID, returning structured data including entity types, descriptions, and URLs.

Enables AI assistants to query Google Trends data, including search interest over time, regional breakdowns, trending searches, and keyword ideas.

Enables querying Google Trends data directly from conversational MCP clients, including search interest over time, related queries and topics, regional breakdowns, and trending searches, for market research without leaving the chat.

Provides access to comprehensive U.S. economic data including GDP, personal income, and regional statistics via the Bureau of Economic Analysis API. It enables users to query datasets and retrieve specific economic indicators for states, counties, and industries through natural language.

Enables querying and exploring the City of Vancouver Open Data Portal, including dataset search, schema inspection, record filtering, facet discovery, and data export.

An MCP server for exploring British and Irish hills (Munros, Wainwrights, Corbetts, Marilyns) with offline search, nearby hills, and detailed hill data, no API key required.

Enables natural language discovery, querying, and analysis of Thailand's official statistics from the National Statistical Office via SDMX REST API. It provides tools for searching dataflows, exploring structures, and fetching data with caching and bilingual support.

Enables read-only investigative research across any Aleph instance, providing ten GET-only tools for searching entities, exploring relationships, discovering datasets, and retrieving document text through MCP clients.

MCP server for exploring GitHub public data. It provides tools to fetch user profiles, list top repositories, and calculate language usage statistics, which AI agents can invoke dynamically.

MCP server for exploring French public open data via APIs like data.gouv.fr, geo.api.gouv.fr, INSEE Sirene, and Radio France.

Enables querying, exploring, and downloading ISTAT statistical datasets via SDMX REST API, with unified metadata, territorial code resolution, and data extraction.

MCP server for exploring Texas public school data through conversational interfaces, enabling campus search, district details, geospatial lookup, comparisons, and transfer insights using TEA data.

Wikipedia MCP server with 25 tools for searching, summarizing, and exploring Wikipedia — search, summaries, full extracts, pageviews, recent changes, translations, backlinks, media, and more. No API key required. Python, stdio transport.

Read-only MCP server for exploring US federal spending data via the USAspending.gov API, enabling natural language queries on awards, agencies, recipients, and spending trends.