"Recommended Minecraft plugins (MCPs) for GitHub Copilot users" matching MCP servers:

Enables OpenAI-compatible clients to access external tools, APIs, repositories, and data sources through MCP with allowlisting, approval, and argument validation, deployable as a FastAPI service or Python library.

Wraps the GitHub Copilot CLI to provide natural language command suggestions, explanations, and shell configuration for shell, git, and GitHub CLI commands through the Model Context Protocol.

Enables GitHub Copilot to perform markdown review, dependency checking, and AI-powered code review through serverless Azure Functions, demonstrating educational and production MCP tool patterns.

List of small useful mcp servers including: * docx\_replace: replace tag in word document * yt-dlp: extract chaper and subtitles base on chapter * mermaid: generate and render image using mermaidchart.com API

An AI copilot for marketing budgets that uses a 6-agent society with learned memory to manage ad accounts, built as a Model Context Protocol server for Qwen Cloud.

Enables AI agents to control Minecraft bots through over 30 verified skills including navigation, resource gathering, and advanced building. It allows for multi-bot management and seamless integration with MCP clients to automate complex in-game tasks.

Enables querying Minecraft Java server status through a remote MCP server deployed on Cloudflare Workers, with no authentication required.

Connects AI agents to Minecraft servers via RCON to execute commands, monitor logs, and perform read-only SQLite database queries. It is specifically designed to facilitate AI-assisted plugin development, live debugging, and automated testing workflows.

Enables Microsoft Copilot Desktop and Microsoft 365 Copilot Studio to post/read Slack messages, query GitHub repository status, and monitor live pod health and fleet runtime briefs.

An MCP server for managing and operating Minecraft servers through multiple backend protocols including MCSManager API, RCON, and MSMP. It provides tools for instance lifecycle management, file operations, console commands, player administration, and server configuration with built-in security controls.

A client library that connects AI agents to Minecraft servers, providing full game control with 30 verified skills for common tasks including movement, combat, crafting, and building.

Enables AI assistants to interact with Figma designs programmatically, supporting comprehensive design automation including text manipulation with formatting preservation, batch operations, prototyping, auto-layout configuration, and component management.

Enables managing Vercel projects, deployments, build logs, domains, and environment variables through natural language in Microsoft Copilot Studio, using streamable HTTP with API key authentication.

Enables AI agents to control Minecraft bots via natural language commands by bridging a Python MCP server with a Node.js Mineflayer bridge. It supports a wide range of in-game actions including complex pathfinding, resource gathering, crafting, and combat.

Enables running arbitrary CLI tools as MCP server tools, configured via environment variables.

Enables comprehensive GitHub workflow automation including Actions monitoring, PR management, code search, file operations, and repository management through a code-first architecture that reduces token usage by 98%.

Enables MCP-based hybrid semantic code search over repositories, providing tools for searching code by meaning or keyword, retrieving symbol definitions, finding usages, reading chunks, and listing indexed repos.

Provides access to GitHub Copilot agents, prompts, instructions, skills, collections, plugins, hooks, and workflows via the Model Context Protocol.

An MCP-native agentic copilot for dental practices that orchestrates multiple MCP tools to analyze X-rays, pull patient history, generate drafts, and propose recalls, streaming results live to a React dashboard.

MCP server for Stellar that enables AI assistants to explain account holdings, diagnose transaction failures, and describe Soroban contracts in plain language, with optional payment proposal flow.