"Stock trading and investment information" matching MCP servers:

Enables AI assistants to interact with IG Trading API for forex, indices, and commodities trading. Provides 21 tools for account management, position trading, order placement, market data analysis, and watchlist management.

Enables RAG-based querying of local stock company data using a local LLM and vector database, providing tools to ask questions, search raw chunks, and list documents.

An MCP server that implements Retrieval-Augmented Generation to efficiently retrieve and process important information from various sources, providing accurate and contextually relevant responses.

An MCP server that connects to a SQLite database of Zillow real estate data, enabling users to explore property values, rent indexes, and forecasts through a chat interface to make informed investment decisions.

Enables AI-powered natural language stock market queries with real-time data from Yahoo Finance and CSV fallback. Uses Google Gemini to interpret queries and automatically fetch stock prices, comparisons, and market summaries.

A multi-agent MCP server for comprehensive stock research and analysis using natural language queries, backed by SEC filings and real-time market data.

MCP server that provides stock market research tools including real-time quotes, news search, semantic context retrieval, watchlist management, and saving research notes/reports.

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 multi-tool AI assistant system that uses Model Context Protocol to connect language models with various tools, including math calculations and weather information.

Provides structured dealer brand data including inventory, promotions, reviews, and dealer profile via MCP tools, enabling LLMs to answer accurate brand-related queries.

Enables interaction with the Korea Investment & Securities (KIS) Open API for domestic and overseas stock trading, real-time market data, and automated strategy execution. It provides a structured interface for LLMs to perform trading operations, manage portfolios, and conduct backtesting.

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.

Provides AI agents with institutional-grade quantitative finance tools including real-time market data, paper trading via Alpaca, risk analysis with Monte Carlo simulations, backtesting, and multi-source news sentiment analysis for portfolio management and trading strategy development.

Pre-trade risk validation and position sizing for AI trading agents via G-formula and Iron Fist.

An MCP server that gives investment teams an entity-resolved knowledge graph of people and organizations, enabling graph-based retrieval like warm introductions and relationship analysis from scattered data sources.

AI-powered investment discipline tool with investment RAG, behavior pattern mining, memory system, and multi-channel price/condition alerts

A Model Context Protocol server that provides intelligent stock data assistance through Tushare's financial data API, enabling users to query comprehensive stock information, financial data, and market indices through natural language.

Integrates with Robinhood API and LLMs like Perplexity to provide AI-powered portfolio rebalancing recommendations and trading analytics without executing trades directly.

Provides real-time financial data from Yahoo Finance to Large Language Models through the Model Context Protocol, enabling AI models to access stock prices, historical data, and company information.

Provides tools for searching a sneaker catalog (hybrid keyword and semantic search), retrieving product details, and checking inventory stock.