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

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

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.

MCP server to scan for open Global Entry / NEXUS appointment slots and get notified via email, Slack, or Discord.

A persistent 24/7 background daemon that aggregates all downstream MCP servers into one unified connection and layers on a real-time notification gateway so AI agents can receive events from X/Twitter, Slack, Email, and webhooks.

Enables natural language data queries with statistical rigor and a semantic layer, supporting 23+ analytical tools for product analytics.

A natural-language data analyst MCP server that lets users query SQLite sales datasets via MCP tools (list_tables, aggregate, time_series, run_sql) with read-only SQL safety guards, returning results through a FastAPI dashboard.

MCP server for personal finance via Open Finance, consolidating accounts and cards and answering spending questions with aggregated numbers. Provides tools for category spending, recurring subscriptions, budgets, card bills, and installment forecasts, with data stored locally in an encrypted SQLite database.

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

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 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.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Provides local-first, project-aware durable memory for coding agents, with a human-reviewed Markdown vault, MCP daemon, and dashboard for managing and retrieving shared knowledge.

Enables natural language querying of SQLite databases through a secure MCP server that writes, runs, and explains SQL with a three-layer read-only guarantee.

Enables natural-language Q&A over customer support ticket data. Provides tools for schema inspection, SQL-based ticket counts and grouping, and full-text search for customer wording without requiring API keys.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.