"Search for letter 's' repeated five times" matching MCP servers:

A server that enables document searching using Vertex AI with Gemini grounding, improving search results by grounding responses in private data stored in Vertex AI Datastore.

Enables interaction with SAP S/4HANA systems via OData, allowing service discovery, metadata exploration, field value retrieval, and CRUD operations through natural language.

Enables full-text search of macOS iMessages including link preview metadata. Works as an MCP server for Claude Desktop to search your messages locally.

Downloads your entire Search Console dataset into a local SQLite database, then gives your LLM a pre-built SQL query library for every standard SEO analysis type, with context available for your LLM to perform any SQL query to answer your questions and analyse for you.

Enables AI systems to perform full-text and semantic search operations over structured/unstructured data in Azure Cognitive Search, with capabilities for document indexing and management through natural language.

Provides access to Naver Search APIs, allowing AI agents to search across multiple categories (blogs, news, books, images, shopping items, etc.) with structured responses optimized for LLM consumption.

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.

MCP server that aggregates job listings from Remotive and Arbeitnow, with local SQLite caching, application tracking, and saved searches.

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.

MCP server that connects AI assistants to Redash, enabling listing of assets, read-only query execution, dashboard inspection, and alert management through the Redash API.

A Model Context Protocol server that searches transcript segments in a Turso database using vector similarity, allowing users to find relevant content by asking questions without generating new embeddings.

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

A safety-gated Python MCP server for Metabase that lets MCP clients and agents inspect Metabase, run governed queries, and create or maintain dashboards, cards/questions, collections, snippets, permissions, and other Metabase assets through the Metabase REST API.

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 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 exploring Microsoft Fabric / Power BI workspaces and semantic models, and executing ad-hoc DAX queries.

Enables searching for any text within a specified Algolia index through an MCP-compatible interface. It allows users to integrate Algolia search capabilities into their environment using an application ID and API key.

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 of company profiles, annual financial metrics, historical OHLCV price data, news with sentiment filtering, executive officers, and SEC filing history from Supabase, with elicitation-based disambiguation for ambiguous company names and embedded MCP App UI resources for browsing results.

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.

Exposes an SAP S/4HANA OData service to AI agents over the Model Context Protocol, enabling read-only queries of order headers and line items plus retrieval of computed order totals. Access is brokered through SAP CAP with XSUAA authentication and BTP destination/connectivity, so agents never handle S/4 credentials directly.

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 AI agents to look up Chinese laws and statutory articles fully offline from a local SQLite database, resolving a law name plus article number to verbatim text, searching articles by keyword, and retrieving a law's chapter structure and version history. It also verifies citations in bulk, checking whether each quoted provision exists word-for-word and is currently in force.

This read-only MCP Server allows you to connect to Google Search data from Claude Desktop through CData JDBC Drivers. Free (beta) read/write servers available at https://www.cdata.com/solutions/mcp

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 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 clients to query company fundamentals, annual financial metrics, historical daily prices, news sentiment, officers, and SEC filings from Supabase. It also provides embedded UI resources and a web app for browsing and testing these tools.