"Using Jira MCP API in Python" 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.

Execute Python code via subprocess with timeout and error handling, returning stdout, stderr, and exit code.

Connects Jira with Claude, enabling users to search issues, view issue details, update issues, add comments, and retrieve project information through natural language commands.

Executes Python code with safety constraints and manages Python packages through the Model Context Protocol.

一个基于MCP的Python REPL服务器，支持多会话管理、代码执行、历史记录回放和包安装，为AI提供Python解释器能力。

This is a secure Python code execution server that enables LLMs to run Python code safely in isolated Docker containers, supporting stdout capture and Matplotlib PNG generation.

A Python-based MCP server demonstrating basic math and text tools, supporting both SSE and STDIO transports for integration with AI assistants like Cline in VS Code.

Ephemeral MicroVM-isolated code execution for AI agents. Run Python, Node, or bash — fresh hardware-isolated VM per call, hard-purged after. No state persists between calls.

A persistent Python REPL MCP server for AI agents with stateful execution, real timeouts, crash isolation, and an MCP bridge to call other tools in the project.

A Python MCP server that lets MCP-compatible clients inspect and operate AWS through the AWS CLI, with command execution, suggestions, region lookup, and caller identity checks.

Provides the current date in multiple formats (e.g., European, ISO, US) via a simple MCP tool.

Enables running Python 2 IPython sessions via MCP, with tools to install dependencies, start/stop sessions, execute code, and get tab completion.

Enables AI assistants to execute shell commands and transfer files via SFTP across remote servers using existing SSH configurations. It supports parallel execution on server groups and provides built-in safety warnings for potentially destructive commands.

A simple MCP server that provides a greeting tool using FastMCP, with support for both local and containerized deployment.

Enables AI agents to autonomously manage network devices using Nornir, supporting inventory filtering, parallel command execution, and configuration deployment across SSH, REST API, and serial connections.

Runs commands on machines you cannot SSH into by publishing steps to a transport the far side already reaches (git, file share, S3, relay), then reads back a log with every line timestamped in UTC. Seven tools cover send, status, logs, stall detection and a pre-flight check.

CLI Builder AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

A local Python MCP server for driving, perceiving, and rendering terminal programs, using a pluggable PTY and pyte screen model to let AI agents interact with real TUIs.

Enables running SPICE netlists with ngspice in batch mode and returning .meas results as JSON.

Enables AI agents to interact with physical embedded target boards over a dual-CDC USB bridge using MCP tools. It exposes console reading, pattern waiting, command sending, reboot/login state machines, and in-RAM MicroPython execution while a single-owner daemon safely arbitrates access to the serial devices.