"Resources for Analyzing Stock Market Trends" matching MCP servers:

Unifies inventory data from four sources (Jikeyun, Supor factory, WeChat Excel, RPA) with timestamps, and exposes MCP tools for AI agents to query stock levels.

MCP server that syncs and queries comprehensive stock data (quotes, financials, dividends, analyst forecasts, options, news) from Yahoo Finance and Investing.com into an external MySQL database.

Provides comprehensive statistics and advanced analysis tools for the Korean stock market, offering real-time index data, sector analysis, investor trend tracking, and AI-based market pattern recognition.

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.

Read-only PostgreSQL analytics MCP server — query plans, slow queries, index usage, table bloat, vacuum status. No DDL/DML/writes. Curated by Archimedes Market with a verified Trust Report.

Enables querying sales data, identifying out-of-stock products, viewing top sellers, and receiving restock suggestions through natural language.

Enables AI applications to run SQL queries and retrieve results from Oracle Database.

Enables querying Rice Business Stock Market Data Portal using natural language through Claude Desktop, allowing users to ask about financial ratios, stocks, and companies.

Enables secure access to Oracle databases with fine-grained access control, supporting multiple databases simultaneously with configurable access modes (readonly/readwrite/full) and table-level permissions for safe query execution and data management.

Provides access to MySQL databases with fine-grained access control, supporting multiple databases simultaneously with configurable access modes (readonly, readwrite, full) and table-level permissions using whitelists, blacklists, wildcards, and regex patterns.

A TypeScript-based server to interact with ArangoDB using the Model Context Protocol, enabling database operations and integration with tools like Claude and VSCode extensions for streamlined data management.

A version-agnostic MCP server for Odoo that enables AI agents to interact with any Odoo app's data, schema, and source code, supporting tasks like data CRUD, schema mapping, code analysis, and feature implementation.

Provides a scalable knowledge graph implementation for Model Context Protocol using Elasticsearch, enabling AI models to store and query information with advanced search capabilities, memory-like behavior, and multi-zone architecture.

MCP server that allows Claude AI to interact directly with MySQL databases, enabling query execution and table information retrieval through natural language.

MCP Server for Apache Pinot

Enables integration with OpenMetadata by wrapping its REST API for standardized interaction through the Model Context Protocol.

Java based Model Context Procotol (MCP) Server for JDBC

A FastMCP integration server that provides access to Apache Gravitino metadata management APIs, allowing users to manage catalog/schema/table metadata, tags, and user-role information through a structured interface.

Enables AI applications to securely access and manage PostgreSQL data in Azure via MCP tools for querying, updating, and schema operations.

A Machine Control Protocol (MCP) server that enables storing and retrieving information from a Qdrant vector database with semantic search capabilities.