"Using MySQL's MySQL Connector/Python (mcp) with Cursor" matching MCP servers:

Enables MCP clients to run Cursor CLI agent prompts with any model the installed CLI offers, continue existing sessions, and list available models and sessions. Adds guarded execution with concurrency limits, timeouts, cancellation, and operator-gated auto-approval so multiple models can be run in parallel.

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

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.

Enables natural language management of MikroTik routers through Cursor IDE by translating requests into RouterOS commands via API or SSH.

Enables Claude Code and ChatGPT Codex to run commands directly over SSH on multiple Debian and Red Hat servers, with automatic failover, parallel sessions, background jobs, and journalctl event watchers.

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

Enables Grok Bot to securely communicate with a local Cursor Agent CLI through an OAuth-authenticated MCP gateway, exposing exactly two tools for asking questions and checking status.

A server that provides MySQL database operations through SSE (Server-Sent Events) based on the MCP (Model-Controller-Provider) framework, enabling real-time data transmission from MySQL databases.

ghcli-mcp-connector is an MCP server that lets agents run any GitHub CLI (gh) command—repos, issues, PRs, releases, workflows, gists, and more—as a single static Go binary with a read-only-by-default safety gate on state-changing operations.

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。

An MCP server wrapping the Cursor CLI agent, enabling Claude Code and other MCP clients to delegate tasks to Cursor's AI agent for file writing, bash commands, and codebase queries.

Enables executing Python code, managing environments and packages, and performing file operations within Docker containers.

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.

Talk to AWS CLI from an MCP-speaking agent. Run any aws <service> <operation> command through the Model Context Protocol, with read-only defaults and gated write access.

Enables AI assistants to securely interact with IBM i (AS/400) systems via ODBC, supporting SQL queries, CL commands, source code reading, compilation, and spoolfile analysis.

Provides interactive Python REPL capabilities with persistent sessions, virtual environment support, package management via uv, and development tools like testing, linting, and code formatting for Python projects.

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.

Enables arithmetic operations (add, subtract, multiply, divide) through a custom Model Context Protocol implementation, containerized with Docker for easy deployment.

Enables AI clients to submit complete Git workflows—such as staging, committing, branching, pushing, and creating pull requests—for human review and whole-command approval before execution, then receive the recorded outcome.

Enables secure execution of arbitrary commands on remote hosts via SSH with OIDC authentication, allowlisted access, and dynamically injected private keys.

Enables AI agents to access curated SIP/VoIP documentation, troubleshoot traces, and analyze telecom configurations with 20+ read-only tools.

Enables remote server control via SSH through Claude, supporting command execution, file transfers, and multi-server management with both standard and streamable HTTP protocols.

Enables AI agents to control Android devices through natural language, supporting app management, UI interaction, gestures, and system operations via uiautomator2.

Enables AI agents to supervise and orchestrate Better Agent Terminal sessions, including listing, reading, waiting on, and optionally interacting with sessions and managing worktrees.

Enables AI-assisted development tools like Cursor, Cline, and Windsurf to request user confirmation before acting, running shell commands and displaying their output inside a Qt feedback window that returns user notes and logs to the model. This human-in-the-loop loop lets the assistant consolidate many speculative tool calls into a single feedback-aware request, saving API usage and improving accuracy.

Enables AI coding agents to execute safe read-only shell commands immediately and to request one-time human approval before potentially destructive shell or file operations run. It integrates with clients such as Cursor, Claude Code, Copilot CLI, and Codex.

Enables managing a parametric CLI command registry with profile isolation and pipelines from Cursor agents via 11 MCP tools.

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.