MCP (Model Context Protocol) servers are game changers in enabling AI models to interact intelligently with real-world tools and systems. These servers act as the glue between large language models (LLMs) and external applications—offering access, actions, and automation across a variety of services.

Here’s a curated list of powerful MCP servers to watch and experiment with in 2025:

1. File System MCP Server

Grants AI models the ability to interact with your local file system. They can read files, write content, and even create directories—all from natural language instructions.

2. GitHub MCP Server

Empowers AI to dive into GitHub repositories—browsing code, editing files, and streamlining version control workflows without ever leaving the command prompt.

3. Slack MCP Server

Connects LLMs to Slack workspaces, enabling seamless communication, channel monitoring, and task automation within your team chat environment.

4. Google Maps MCP Server

Injects geo-awareness into AI agents by interfacing with the Google Maps API. Perfect for building location-based assistants or logistics bots.

5. Docker MCP Server

Hands over control of Docker environments to your AI—allowing it to manage containers, images, networks, and volumes intelligently.

6. Brave MCP Server

Equips AI with the ability to search both the web and local content via Brave’s privacy-respecting search engine.

7. PostgreSQL MCP Server

Provides structured database access. AI can explore schemas and run read-only queries, making it ideal for data-driven analysis or reporting tasks.

8. Google Drive MCP Server

Lets your AI access Google Drive—reading, searching, and summarizing documents stored in the cloud.

9. Redis MCP Server

Adds memory-like capabilities by integrating Redis databases for fast, temporary data retrieval and caching.

10. Notion MCP Server

Bridges AI and productivity by linking to Notion’s API—allowing assistants to manage pages, update notes, or pull task lists on demand.

11. Stripe MCP Server

Brings payment automation to the table. With this integration, AI can help process transactions, check subscriptions, or report on financial activity via Stripe.

12. Perplexity MCP Server

Offers advanced, real-time search integration by tapping into Perplexity’s Sonar API—great for knowledge agents and research-heavy assistants.

🧠 In Summary:

2025 will be the year of connected AI. MCP servers are your key to building truly agentic systems—where LLMs don’t just think, but act, query, manage, and respond like never before. Experimenting with these servers can unlock powerful real-world applications across dev, ops, business, and customer support.

💡 Abhishek’s Take:

As we move into a more agentic AI era, MCP servers are the foundation for making AI not just responsive but proactive. Imagine an assistant that doesn’t just tell you the weather—it books your ride, prepares your travel folder, and notifies your team on Slack.

Whether you’re a developer, architect, or tech enthusiast, integrating MCP servers into your AI workflows will unlock new levels of productivity, autonomy, and innovation.

In 2025, AI isn’t just talking back—it’s acting with purpose. Let’s build the future with intent.

#AbhishekTake #AIWithAzure #MCPServers #AgenticAI #FutureOfWork #AIIntegration #AbhishekKumar #FirstCrazyDeveloper