A Model Context Protocol service that enables AI assistants to directly query and manage MySQL databases through natural language. It supports SQL execution, schema inspection, and atomic transactions for comprehensive database interaction.
Enables LLMs to query and analyze data across multiple MySQL databases with enterprise data federation, intelligent caching, cross-system analytics, and automated schema discovery for comprehensive business intelligence.
Enables connecting to and querying MySQL databases directly from Cursor IDE, with support for executing SQL queries, listing databases and tables, inspecting schemas, and managing connections with SSL and connection pooling.
A Model Context Protocol server that enables agents to execute SQL queries against a MySQL database, supporting operations like SELECT, CREATE TABLE, INSERT, UPDATE, and DELETE with results returned in JSON format.
A lightweight server for executing SQL queries and inspecting schemas across multiple MySQL database connections. It provides tools for managing persistent connection configurations and exploring database structures through natural language.
Enables AI models to interact with MySQL databases through a standardized interface, supporting queries, data manipulation, table inspection, and query performance analysis with secure prepared statements.
A tool that connects to local MySQL databases and enables large language models (LLMs) to execute SQL queries through the Model Context Protocol (MCP).
Provides MySQL database integration for AI assistants and other MCP clients, allowing them to list tables, read table data, and execute SQL queries.
Enables AI assistants to manage MySQL databases through natural language commands. Supports database operations, table management, data queries, and import/export functionality with built-in security features.
An MCP server for MySQL that enables users to execute SQL queries, inspect table structures, and explore database schemas through a clean, SOLID-based architecture. It includes built-in security validations to protect against dangerous operations and ensure safe interaction with database resources.
Enables comprehensive MySQL database operations including CRUD, performance optimization, health monitoring, index analysis, lock detection, and SQL execution plan analysis with role-based permission control.
An MCP server for managing multiple MySQL and MariaDB database connections simultaneously, allowing users to run SQL queries and manage schemas through AI-powered tools. It features dynamic connection management, persistent configuration, and granular tools for database, table, and index operations.
Enables access to NASA space data and images through Claude Desktop, providing features like astronomy picture of the day, Mars rover photos, near-Earth object information, NASA image search, and Earth satellite imagery.
This MCP server enables interaction with NASCAR racing data via the sportsdata.io API, allowing access to race statistics, driver information, and event details through natural language queries.
Python based with all 29 tools that's available to developers from National Park Services (NPS)
Enables LLMs to interact with Neo4j graph databases using natural language to execute Cypher queries and introspect database schemas. It supports both read and write operations for local, Docker, and cloud-based instances like Neo4j Aura.
Enables AI assistants to interact with Neo4j graph databases through natural language, supporting Cypher queries, schema management, data manipulation, and graph algorithms.
Enables read-only access to local Calibre libraries for searching metadata, inspecting book formats, and extracting content samples. Supports full-text search, batch operations, and detailed book analysis through natural language queries.
Enables MCP hosts to use NeoSQL Desktop tools for database management, including querying, table operations, and code generation, through a local stdio MCP server.
Enables AI assistants like Claude to interact with MongoDB databases through standardized MCP tools. Supports full CRUD operations, aggregations, and natural language queries with Clean Architecture and dual transport modes (STDIO/HTTP).