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

MCP server for GitHub Copilot that allows querying any Copilot model programmatically using existing Copilot CLI credentials, with support for file attachments and model discovery.

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.

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.

Exposes remote, agent-facing MCP endpoints over Streamable HTTP for web search, webpage parsing, local knowledge-base retrieval and document creation, and delegation of tasks to configurable LLM providers. Also bundles an admin console with onboarding, provider/model configuration, API-key management, and call logging.

MCP server for managing AI skills and tools from GitHub marketplaces, enabling discovery, installation, removal, and auto-updates via natural language or commands.

Bridges Microsoft Foundry agents and Power BI semantic models into GitHub Copilot Chat, enabling users to query and modify measures as the signed-in user via MCP.

MCP server to check GitHub Copilot quota, rate-limit status, and reset times from any MCP client.

Enables MCP clients such as Claude Desktop or compatible editors to run local, privacy-first job-search workflows including resume generation and STAR polishing, JD matching, GitHub project recommendations, mock interviews, and application tracking. It exposes these capabilities as callable tools through the Model Context Protocol.

Wraps the copilot CLI into MCP tools, allowing third-party MCP clients to invoke Copilot through prompt and command tools.

Enables any MCP client to run a complete data-science pipeline on a CSV: exploration, cleaning, model comparison, training, tuning, and plain-language analysis. Exposes nine tools that turn raw data into trained models and reports.

Enables MCP clients such as Kiro, VS Code, and Claude Code to send prompts and code snippets to a signed-in Microsoft Copilot session running in the user's own Edge browser and receive the replies as Markdown, with no API key or separate login required. It exposes ask, code-review, and status tools, can start fresh chats, and can save full answers as Markdown, HTML, or JSON files.

Provides read-only Model Context Protocol tools for My AskAI, enabling documentation search, filesystem queries, and pricing estimates.

MCP servers for enterprise commerce that expose Spring Boot services and React portals through FastMCP servers, enabling natural language interactions with the underlying HTTP APIs.

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

Enables sending prompts over direct SignalR WebSockets, maintaining persistent conversation state across calls and restarts, and starting fresh chats through MCP tools without launching a browser.

Enables coding agents to build, test, ship, and manage Microsoft Copilot Studio agents from the editor, with YAML-based authoring, sync via Power Platform CLI, and API coverage for evaluations, chat, and flows.

MCP server for AI-powered QA analysis. It enables analyzing test failures, identifying root causes, suggesting fixes, classifying defects, detecting flaky tests, and generating test cases and bug reports.

Exposes a user-authenticated Microsoft 365 Copilot Chat browser session as a stdio MCP server, enabling AI-powered chat interactions via MCP tools like copilot_chat and copilot_status.

Enables conversational triage of ServiceNow incidents via Claude Desktop, automatically classifying and routing them based on company knowledge.

Provides real-time financial market lookups (stock quotes, volume, P/E ratios) and deterministic portfolio risk (VaR) calculations as standardized MCP endpoints for AI assistant integration.