Post
4468
12 Excellent MCP Servers
The family of MCP (Model Context Protocol) servers keeps expanding to bridge agents, models, tools, web, data and apps. Here are 12 useful MCP servers that will help you create convenient agentic ecosystems:
1. Chrome DevTools MCP → https://github.com/ChromeDevTools/chrome-devtools-mcp
Lets your coding agent (Gemini, Claude, Cursor, Copilot) control a live Chrome browser with full DevTools access for automation, debugging, and performance analysis
2. Windows-MCP → https://github.com/CursorTouch/Windows-MCP
Provides interaction between agents and Windows, handling file navigation, app control, UI actions, QA testing
3. MCPControl → https://github.com/claude-did-this/MCPControl
Windows control server for programmatic control of mouse, keyboard, window management, and screen capture
4. MetaMCP → https://github.com/metatool-ai/metamcp
A proxy that aggregates multiple MCP servers into one, with middleware support. Works as a standard MCP server for any client
5. MindsDB → https://github.com/mindsdb/mindsdb
Humans, models, agents and apps get accurate answers from large-scale data sources
6. Playwright MCP → https://github.com/microsoft/playwright-mcp
Lets LLMs interact with web pages via structured accessibility snapshots, no need for screenshots or visually-tuned models
7. MCP Access Point → https://github.com/sxhxliang/mcp-access-point
Bridges MCP clients with HTTP services, no server-side changes needed
8. Browserbase MCP Server → https://github.com/browserbase/mcp-server-browserbase
Connects LLMs to external data and tools, adding cloud browser automation via Browserbase and Stagehand. It enables LLMs to browse, capture, extract, and act on web pages with precision
9. Yutu → https://github.com/eat-pray-ai/yutu
Automates YouTube workflows, managing videos, playlists, channels, comments, captions, etc.
3 more below ↓
Also, subscribe to the Turing Post: https://www.turingpost.com/subscribe
The family of MCP (Model Context Protocol) servers keeps expanding to bridge agents, models, tools, web, data and apps. Here are 12 useful MCP servers that will help you create convenient agentic ecosystems:
1. Chrome DevTools MCP → https://github.com/ChromeDevTools/chrome-devtools-mcp
Lets your coding agent (Gemini, Claude, Cursor, Copilot) control a live Chrome browser with full DevTools access for automation, debugging, and performance analysis
2. Windows-MCP → https://github.com/CursorTouch/Windows-MCP
Provides interaction between agents and Windows, handling file navigation, app control, UI actions, QA testing
3. MCPControl → https://github.com/claude-did-this/MCPControl
Windows control server for programmatic control of mouse, keyboard, window management, and screen capture
4. MetaMCP → https://github.com/metatool-ai/metamcp
A proxy that aggregates multiple MCP servers into one, with middleware support. Works as a standard MCP server for any client
5. MindsDB → https://github.com/mindsdb/mindsdb
Humans, models, agents and apps get accurate answers from large-scale data sources
6. Playwright MCP → https://github.com/microsoft/playwright-mcp
Lets LLMs interact with web pages via structured accessibility snapshots, no need for screenshots or visually-tuned models
7. MCP Access Point → https://github.com/sxhxliang/mcp-access-point
Bridges MCP clients with HTTP services, no server-side changes needed
8. Browserbase MCP Server → https://github.com/browserbase/mcp-server-browserbase
Connects LLMs to external data and tools, adding cloud browser automation via Browserbase and Stagehand. It enables LLMs to browse, capture, extract, and act on web pages with precision
9. Yutu → https://github.com/eat-pray-ai/yutu
Automates YouTube workflows, managing videos, playlists, channels, comments, captions, etc.
3 more below ↓
Also, subscribe to the Turing Post: https://www.turingpost.com/subscribe