A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.
A Model Context Protocol server that enables AI models to interact with MySQL databases, providing tools for querying, executing statements, listing tables, and describing table structures.
A server based on Model Context Protocol that enables AI models to interact with MySQL databases through a standardized interface, supporting features like query execution, table listing, and automated connection management.
An MCP server that allows working with MySQL databases by providing tools for executing read-only SQL queries, getting table schemas, and listing database tables.
A Model Context Protocol server providing read-only access to MySQL databases, enabling LLMs to inspect database schemas and execute read-only queries.
A tool that connects to local MySQL databases and enables large language models (LLMs) to execute SQL queries through the Model Context Protocol (MCP).
A local development MCP server that exposes MySQL databases to VSCode and Copilot CLI with read-only SELECT queries and INSERT/UPDATE operations. It provides secure, schema-specific database access for development environments only.
A Model Context Protocol server that allows LLMs to interact with Python environments, execute code, and manage files within a specified working directory.
A server that provides a persistent Python REPL environment through the MCP protocol, allowing execution of Python code, variable management, and package installation.
A comprehensive MCP implementation designed for fullstack development that enables code manipulation, terminal command execution, and system notifications. It provides an intelligent agent interface powered by Gemini to automate Python and Next.js development workflows.
Enables secure execution of Python code in a sandboxed WebAssembly environment using Pyodide and Deno. Automatically handles package management and captures complete execution results including stdout, stderr, and return values.
Provides a persistent Python REPL session as a tool for executing code, managing files, installing packages, and initializing projects via the MCP protocol.
A production-grade MCP server providing a persistent Python REPL with multi-session support, sandboxing, and timeout protection, enabling LLM agents to execute Python code across multiple turns with variables that persist between calls.