"Using Python REPL from an MCP server on Windows" matching MCP servers:

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.

An MCP server that exposes any REST API to LLMs through runtime discovery, providing tools to browse endpoints, fetch schemas, and apply business rules without hardcoding or schema duplication.

Windows-optimized MCP server for ElevenLabs text-to-speech and audio processing, with fixed file paths and Cursor IDE integration.

A lightweight server that enables AI agents to interact natively with the Windows operating system for tasks like UI automation and application control. It allows LLMs to perform file navigation, simulate user input, and manage windows without requiring specialized computer vision models.

A Python template for creating MCP servers with embedded documentation, featuring example weather service tools using the NWS API.

Enables users to expose arbitrary HTTP APIs as configurable MCP tools by defining tool specifications in a JSON configuration file.

Enables clients to interact with a bundled documentation corpus through MCP tools and resources over HTTP or stdio, and provides a trajectory evaluation harness for grading agent performance.

A minimal MCP server template for Python with Streamable HTTP transport, bearer token authentication, and a hello tool, designed for deployment on Render.

A template for deploying an MCP server on Vercel, with example tools like roll_dice and get_weather.

This template enables developers to quickly scaffold, deploy, and extend a Model Context Protocol server on Render, with bearer-token authentication and a streamable HTTP endpoint, by adding custom tools via Python.

Enables deploying a minimal MCP server on Render with Streamable HTTP transport, bearer-token authentication, a health check endpoint, and a sample tool.

A minimal MCP server template for Python with Streamable HTTP transport, bearer token authentication, and a health check endpoint, designed for one-click deployment on Render.

A minimal MCP server template with streamable HTTP transport and bearer token authentication, including an example hello tool and ready for deployment on Render.

A Python implementation of an MCP server for Xiaohongshu that enables AI models to browse feeds, search content, and manage interactions like liking or commenting. It leverages Playwright for browser automation to support account management and content publishing features.

A read-only MCP server for MS SQL Server, written in Python. Lets AI agents query your database safely — no writes, no stored procedures, no shell access.

A streamlined foundation for building Model Context Protocol servers in Python, designed to make AI-assisted development of MCP tools easier and more efficient.

A minimal Model Context Protocol server template for Render with bearer token authentication, an example tool, and a health check endpoint. Enables deploying custom MCP tools quickly on Render.

A server that enables interaction with PostgreSQL, MySQL, MariaDB, or SQLite databases through Claude Desktop using natural language queries.

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A Model Context Protocol server that brings the capabilities of enigmapython library to LLMs, allowing them to encrypt and decrypt messages using historically accurate Enigma machine emulators