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

Enables LLMs to interact with Kibana through composable toolboxes for building dashboards, managing data, and handling alerts, among other operations.

Enables AI assistants to query GitHub trending projects, analyze language and technology trends, and generate visual trend reports.

A safety-gated Python MCP server for Metabase that lets MCP clients and agents inspect Metabase, run governed queries, and create or maintain dashboards, cards/questions, collections, snippets, permissions, and other Metabase assets through the Metabase REST API.

Enables answering business questions over local SQL Server WideWorldImporters data through MCP, with support for both STDIO and Streamable HTTP endpoints.

Provides aerodynamic analysis tools through MCP, enabling geometry generation, meshing, CFD solving, and visualization for 2D airfoils.

MCP server and ChatGPT/Codex plugin for Persian-language gold market decision support, connecting to WallGold accounts via OAuth to provide live prices, portfolio valuation, multi-dimensional analysis, risk policy, and trade previews.

A production-grade MCP server that provides tools to fetch historical stock data, company information, and technical indicators (SMA, EMA, RSI, MACD, Bollinger Bands) via yfinance, and includes a Flask web dashboard for visual analysis.

Enables your own ChatGPT to build and manage a collaborative work board—dashboards, categories, datasets, monitors, and policies—through typed WebMCP tools, with human approval, audit trails, and guardrails enforced on every action.

Turns a table your coding agent already has — a CSV, dataframe or semantic-model query result — into chart code that fits it first try, by profiling the data locally, ranking roughly 90 chart types by what it can honestly show, and returning verified D3, Plotly or matplotlib source you own and can run anywhere. It can also find the natural views inside a Microsoft Fabric semantic model and say which chart suits each.

MCP server for Microsoft Power BI and Fabric, enabling Claude to discover workspaces, semantic models, generate and execute DAX queries, and retrieve report metadata via device-code authentication.

Enables AI assistants to drive a live TradingView chart in Chrome, turning natural-language trading ideas into compiled Pine Script indicators, adding them to charts, and reading back results. It also supports chart navigation, indicator management, screenshots, and strategy tester backtest results.

MCP server providing data analytics tools for AI agents to load, clean, analyze data, generate charts and dashboards.

Enables AI assistants to control a logged-in TradingView chart in Chrome, including writing and compiling Pine Script indicators, adding them to charts, changing symbols and timeframes, capturing screenshots, and retrieving strategy tester results.

An MCP server that lets Claude or ChatGPT read, create, and edit mind maps stored in a GitHub repository, with support for local and HTTP transport.

Enables AI agents to validate, inspect, render, and compare MapLibre map styles locally, and to show interactive maps to users in supporting chat apps.

Provides powerful symbolic mathematics and statistical analysis capabilities, enabling users to solve equations, compute derivatives and integrals, perform statistical tests, and analyze data through natural language requests.

Enables natural language management of Zuar Portal instances, including authoring HTML blocks, building pages, managing data sources, queries, themes, and users, with versioned and revertible changes.

Turns an LLM into a Maltego CE investigation copilot, enabling AI-assisted OSINT investigations by building, analyzing, and exporting Maltego graph files.

Provides real-time stock quotes, market indices, historical data, and financial visualizations from Yahoo Finance without API keys, enabling users to analyze and visualize market data through Claude.

Enables users to query enterprise sales data from a local SQLite database and investigate anomalies through an inline dashboard with human-in-the-loop review buttons.