"Stock trading and investment information" matching MCP servers:

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

Enables AI agents to trade forex, metals, indices, and cryptocurrencies via the Model Context Protocol using the XBTFX Trading API. It provides comprehensive tools for managing account balances, retrieving market data, and executing trade operations like opening, modifying, or closing positions.

Enables AI agents to discover and execute tools via a secure MCP server with JWT authentication, RBAC, rate limiting, and audit logging.

Exposes Amazon Nova Act web automation capabilities through the Model Context Protocol, enabling AI agents to perform browser tasks like navigation, data extraction, and form interaction.

Enables AI agents to discover and invoke backend tools over MCP JSON-RPC while enforcing 3-legged OAuth 2.0 identity propagation, role-based access control, and protocol transcoding to REST APIs.

Provides a standardized protocol for tool invocation, enabling an AI system to search the web, retrieve information, and provide relevant answers through integration with LangChain, RAG, and Ollama.

A production-oriented reliability, benchmarking, and evaluation system that layers multi-version protocol negotiation, adaptive streaming, connection pooling, and resilience onto an MCP agent runtime.

An authless Cloudflare Workers server that provides tools to scrape, analyze, and answer questions about websites using Cloudflare's Browser Rendering and AI capabilities.

Connects Claude AI to TradingView Desktop for multi-angle market analysis using 10 specialized agents, delivering verdicts, confidence scores, and trade levels for symbols like Nifty 50.

A meta-MCP server that acts as a universal gateway, allowing users to discover and execute tools from thousands of other MCP servers through semantic search. It dynamically loads servers on demand and provides standardized functions for searching, discovering, and running tools across the entire MCP ecosystem.

A Model Context Protocol server that provides real-time Caltrain schedule information, allowing AI assistants to look up train departures between any stations and access station information using GTFS data.

LLM Driven Trading Platform Orchestration - Strategy Design, Research & Implementation

Enables AI assistants to interact with the QuantConnect cloud platform for algorithmic trading. Supports creating and managing trading strategies, running backtests, deploying live algorithms, and performing comprehensive trading operations through the QuantConnect API.

A Model Context Protocol server that allows Claude to search and display Pokemon Trading Card Game cards with filtering by attributes like name, type, legality, and statistics.

A server that enables AI models to access user geolocation information via EdgeOne Pages Functions through the Model Context Protocol.

Enables AI agents to execute stock trading operations with built-in risk controls and human approval workflows. Supports paper trading simulation, real brokerage integration (Alpaca, Tradier), backtesting, sentiment analysis, and portfolio management while maintaining strict separation between AI intelligence and trade execution.

Enables AI assistants to create, backtest, and manage automated investment strategies (symphonies) on Composer, including searching through 1000+ existing strategies, monitoring portfolio performance, and executing trades with live market data.

Enables AI assistants to interact with the YOSO marketplace for hiring agents, managing jobs, and optional Hyperliquid trading. Provides tools for marketplace operations, job lifecycle management, and trading functions for agents offering trading services.

Enables AI agents to perform cryptocurrency trading operations on Binance exchange through 30 comprehensive tools supporting spot trading, futures contracts, options, account management, market data analysis, and risk control features. Provides enterprise-grade security with local encrypted API key storage and supports multiple account types with sandbox environment testing.

Production-ready integration of Microsoft Agent Framework with MCP, enabling AI agents to access tools like weather queries, calculations, and Taiwan stock prices through SSE/HTTP streaming transport with Azure OpenAI GPT-4 backend.