"Search for an MCP server that can search S&P 500" matching MCP servers:

Enables querying S&P 500 company data—including fundamentals, annual financials, historical prices, news sentiment, officers, and SEC filings—through MCP tools, with embedded UI resources and elicitation support for resolving ambiguous company matches.

Enables querying S&P 500 company data from Supabase, including fundamentals, annual financial metrics, historical price data, news sentiment, executive officers, and SEC filings, with embedded MCP App UI resources plus elicitation and sampling support.

Enables querying S&P 500 company data from Supabase through MCP tools for company fundamentals, annual financial metrics, historical daily prices, news with sentiment filtering, executive officers, and SEC filings, plus embedded MCP App UI resources, elicitation, and sampling support.

Enables querying Supabase-backed S&P 500 data through MCP tools for company info, annual financials, historical OHLCV prices, news sentiment, officers, and SEC filings. Includes embedded MCP App UI resources plus elicitation and sampling support for interactive, client-assisted workflows.

Enables querying S&P 500 company data from Supabase, including fundamentals, annual financial metrics, historical price data, news sentiment, officers, and SEC filings. It also ships embedded MCP App UI resources with elicitation and sampling support for browsing and testing those tools.

Enables querying S&P 500 company fundamentals, annual financial metrics, historical daily prices, news sentiment, executive officers, and SEC filings stored in Supabase, with interactive UI resources for browsing and testing the tools. Ambiguous company names are resolved through elicitation when the client supports it.

Enables querying S&P 500 company data from Supabase through MCP tools that cover company fundamentals, annual financial trends, historical OHLCV prices, news with sentiment filtering, executive officers and compensation, and SEC filing histories, with symbol resolution and elicitation for ambiguous matches.

Enables querying S&P 500 company data from Supabase through MCP tools covering company info, annual financials, historical price data, news sentiment, officers, and SEC filings. Includes embedded MCP App UI resources, elicitation for disambiguating company matches, and sampling support for browsing and testing the tools.

Enables querying S&P 500 company data from Supabase, including fundamentals, annual financial metrics, historical daily OHLCV prices, news with sentiment filtering, executive officers and compensation, and SEC filing history. Also supports company symbol resolution with elicitation for ambiguous matches and ships embedded MCP App UI resources for browsing and testing the tools.

MCP server for querying S\&P 500 company data from Supabase, providing tools for company info, financials, price data, news, officers, and SEC filings.

Enables querying S&P 500 company data from Supabase, including company fundamentals, annual financial metrics, historical OHLCV price data, news with sentiment filtering, executive officers, and SEC filings. It supports elicitation to disambiguate company matches and ships embedded MCP App UI resources for browsing and testing the tools.

Enables querying S&P 500 company data from Supabase, including company fundamentals, annual financial metrics, historical OHLCV price rows, news with sentiment filtering, executive officers and compensation, and SEC filing history. It also supports elicitation for disambiguating company matches and serves embedded MCP App UI resources for browsing and testing the tools.

Enables querying Supabase-backed S&P 500 company data through MCP tools covering company profiles, annual financial metrics, historical OHLCV prices, news sentiment, officers, and SEC filings. Also ships a Next.js web app with embedded MCP App UI resources plus Elicitation and Sampling support for browsing and testing those tools.

Enables querying S&P 500 company data from Supabase through natural language, covering company fundamentals, annual financial metrics, historical daily prices, news with sentiment filtering, executive officers, and SEC filing history. It also ships an embedded MCP App UI, elicitation for disambiguating company matches, and sampling support.

Enables querying S&P 500 company data from Supabase through MCP tools for company info, annual financials, historical price data, news sentiment, officers, and SEC filings, with embedded UI resources and elicitation support.

Enables querying S&P 500 company data from Supabase through MCP tools covering company fundamentals, annual financial metrics, historical OHLCV price data, news sentiment, executive officers, and SEC filings. Ships with a Next.js web UI and embedded MCP App resources for browsing and testing those tools.

Enables users to query S&P 500 company fundamentals, annual financial metrics, historical OHLCV price data, news sentiment, executive officers, and SEC filings stored in Supabase through dedicated MCP tools. Also ships embedded MCP App UI resources plus elicitation and sampling support so clients can browse and test those tools interactively.

Enables querying S&P 500 company fundamentals, annual financial metrics, historical price data, news sentiment, officers, and SEC filings from Supabase through MCP tools, with elicitation for resolving ambiguous company matches and embedded MCP App UI resources for browsing and testing.

Enables querying S&P 500 company data from Supabase through MCP tools for company fundamentals, annual financial metrics, historical OHLCV price data, news with sentiment filtering, executive officers and compensation, and SEC filing history. Includes embedded MCP App UI resources plus elicitation and sampling support, so clients with elicitation can resolve ambiguous company queries interactively.

Enables querying of S&P 500 company data from Supabase, including fundamentals, annual financial metrics, historical price data, news sentiment, executive officers, and SEC filings. Also supports ambiguous-symbol resolution through elicitation and ships embedded MCP App UI resources for browsing and testing each tool.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

Enables querying S&P 500 constituent data from Supabase through MCP tools for company fundamentals, annual financial metrics, historical OHLCV price rows, news with sentiment filtering, executive officers and compensation, and SEC filing history. Ships a Next.js web app plus embedded MCP App UI resources, with elicitation-based disambiguation for ambiguous company names and sampling support.

Enables querying S&P 500 company data from Supabase through MCP tools covering company fundamentals and financials, historical price data, news with sentiment filtering, executive officers, and SEC filings. Ambiguous company names are resolved via elicitation, and embedded MCP App UI resources provide browsable, chart-ready views of the results.

Enables querying S&P 500 company data from Supabase, including fundamentals, annual financial metrics, historical OHLCV prices, news with sentiment filtering, officers and compensation, and SEC filing history with type and date filters. Ships embedded MCP App UI resources for browsing and testing the tools, with elicitation to disambiguate company matches and sampling support.

Enables querying of S&P 500 company data from Supabase, exposing tools for company fundamentals, annual financial metrics, historical OHLCV price data, news with sentiment filtering, executive officers and compensation, and SEC filing history. Ambiguous company lookups are resolved through elicitation, and embedded MCP App UI resources plus a Next.js web app let users browse and test the tools.

Enables querying S&P 500 company data from Supabase, including company fundamentals, annual financial metrics, historical OHLCV price rows, news with sentiment filtering, executive officers and compensation, and SEC filing history. Also supports symbol resolution with elicitation-based disambiguation for ambiguous company matches, alongside embedded MCP App UI resources for browsing and testing the tools.

Enables querying S&P 500 company data from Supabase through tools covering company fundamentals, annual financial metrics, historical daily price rows, news with sentiment filtering, officers and compensation, and SEC filing history. Includes elicitation-based company disambiguation, sampling support, and embedded MCP App UI resources plus a web app for browsing and testing the tools.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

Enables querying S&P 500 company data from Supabase, including fundamentals, annual financial metrics, historical OHLCV prices, news with sentiment filtering, officers and compensation, and SEC filings with type/date filters. It also serves embedded MCP App UI resources, resolves ambiguous company names via elicitation, and supports sampling for modern and legacy Streamable HTTP clients.

Provides an MCP server that enables web search and page extraction across multiple providers with automatic failover and quota rotation, plus a local dashboard for managing keys, engine order, and request history.