"A service for finding global stocks based on analyst recommendations" matching MCP servers:

Provides agents with real Linux VMs to run commands, manage files, expose ports, and track costs, all through an ephemeral sandbox service.

Enables AI agents to discover long-tail podcasts through randomized probe queries, trend lookups, and RSS feed peeks, providing cadence, episode length, and feed details without requiring API keys.

Enables AI agents to get book recommendations by topic or mood, discover serendipitous blind-date picks from first sentences, and access free public-domain classics with read-now availability, all with no API keys required.

Unifies prediction markets, global news events, aviation state, and internet-infrastructure telemetry into a single async MCP server for macro and financial analysis.

MCP server that gives AI agents human-like persistent memory, with auto-encoding, proactive recall, and memory rooms for cross-agent context.

An MCP server that lets an AI assistant read your pre-installed macOS Apple Stocks app — its watchlist and its cached quotes — and open symbols in the app to add them.

Enables Claude to analyze local CSV or Parquet files, handling larger datasets without uploading full files.

An MCP server providing stock market data and trading capabilities through multiple broker APIs including Robinhood and Schwab.

Interprets advanced hockey player cards to translate metrics into plain-language assessments, supporting player evaluation, claim verification, and player comparisons with deterministic rules.

MCP server that provides AI agents with personalized travel recommendations for members, enforcing partner-specific rules such as category exclusions, loyalty tier eligibility, and recommendation caps.

Exposes five tools for querying and analyzing a customer-support dataset, including listing categories/intents, filtering, counting, and summarizing records.

Connect Claude to your Power BI semantic models. Browse workspaces, tables, and measures, run DAX queries, and get results — with large datasets automatically saved to local CSV files to protect the LLM context window. Includes a query history log for cross-session reuse and auditability.

Enables agents to inspect ROS topics, processes, tmux sessions, and logs, and to perform operational actions such as sending tmux commands, restarting services, executing commands in containers, and running SSH remote commands.

Provides AI assistants access to international education data from UNESCO UIS (4,000+ indicators) and OECD Education at a Glance via SDMX, with no API keys required.

An MCP server that provides Google Analytics and Search Console data as tools for AI assistants, enabling natural language queries for web analytics, SEO performance, and site insights.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

An MCP server that enables AI assistants to load, query, and analyze local CSV files using tools for filtering, aggregation, and grouping. It provides capabilities to describe schemas, calculate statistics, and sample data directly from CSV files.

A minimal Model Context Protocol (MCP) service for integration with external platforms. Provides CRUD operations, reference data fetching, and authentication capabilities.

MCP server that fetches, ranks, and summarizes global news from 28 RSS sources across 12 categories, exposing 16 tools for LLMs to query technology, AI, finance, politics, and more.