In today’s fast-paced world of artificial intelligence, MCP servers are making waves by connecting AI tools like Claude, Cursor, and Cline with real-world data and apps. Launched by Anthropic in 2024, the Model Context Protocol (MCP) simplifies how AI assistants access information, from websites to local files. With hundreds of open source MCP servers available on platforms like GitHub, these tools are transforming how developers and businesses work in 2025. This article explores what MCP servers are, why they matter, and how to use them effectively. Additionally, we’ll answer common questions like “What does MCP mean in AI?” and “Does ChatGPT have MCP?” while showcasing resources such as Awesome-MCP servers and MCP servers GitHub.
What Are MCP Servers?
Simply put, MCP servers are programs that use the Model Context Protocol (MCP), a system created by Anthropic to help AI assistants connect with external tools and data. For instance, they act like bridges, allowing AI models such as Claude or Cursor to fetch data from files, databases, or websites. Unlike older methods that needed custom code for each tool, MCP servers provide a standard way for AI to interact with the world.
To illustrate, an MCP server lets an AI client, like Cline, talk to tools using a simple format called JSON-RPC. As a result, users can perform tasks like:
- Reading or editing files on their computer.
- Searching databases like MySQL or Redis.
- Automating tasks on websites with tools like Playwright.
- Connecting to apps like Slack or Trello.
For example, a coder using MCP servers Cursor might ask their AI to “find recent changes in my GitHub project.” The server grabs the data, and the AI responds in plain language. This ease of use explains why MCP servers Claude and MCP servers Cline are popular among tech enthusiasts.
Key Benefits of MCP Servers
- Free and Open: Many open source MCP servers are available on MCP servers GitHub, such as punkpeye/awesome-mcp-servers, making them easy to customize.
- Flexible Design: Each server handles specific tasks, so you can choose ones that fit your needs, like file access or web scraping.
- Safe to Use: Servers include permission settings to keep AI actions secure.
- Works with Many Tools: MCP supports various AI clients, not just one brand, enhancing its versatility.
What Does MCP Mean in AI?
In AI, MCP stands for Model Context Protocol. Essentially, it’s a set of rules that lets AI models talk to external tools and data in a consistent way. Before MCP, connecting an AI to something like a website or a file required unique code for each connection, which was time-consuming. However, MCP changes that by offering a universal method for these interactions.
For instance, think of MCP as a common language that AI assistants and tools understand. Consequently, it allows AI to:
- Pull live data, like sports scores or weather updates.
- Complete tasks, such as sending messages or creating tasks in Asana.
- Solve problems by linking to tools like calculators or search engines.
Thanks to its open-source approach, backed by MCP servers Anthropic, the protocol has sparked a boom in open source MCP servers. Communities like Awesome-MCP servers list hundreds of options, making MCP a key player in AI workflows by April 2025.
Does ChatGPT Have MCP?
Many users wonder, “Does ChatGPT have MCP?” As of May 2025, the answer is no—ChatGPT does not directly use the Model Context Protocol. Instead, OpenAI, which powers ChatGPT, uses its own tools, like GPT Actions and function-calling features, to connect with external data. Nevertheless, OpenAI’s Agents SDK now supports MCP, meaning some ChatGPT-like agents can work with MCP servers, but it’s not built into ChatGPT itself.
On the other hand, the open-source community has created workarounds. For example, the billster45/mcp-chatgpt-responses server lets Claude use ChatGPT’s search features through MCP. While this shows promise, MCP servers Claude, Cursor, and Cline currently lead in MCP integration due to their native support. Looking forward, posts on X suggest OpenAI might adopt MCP-like standards if its popularity grows, but for now, ChatGPT users need third-party tools for MCP functionality.
Why MCP Servers Matter in 2025
MCP servers are reshaping how people use AI by making tasks easier and more efficient. Here’s why they’re a big deal this year:
1. Saves Time
By connecting AI to tools, MCP servers cut down on manual work. For instance, a GitHub MCP server lets Claude check your code or manage projects without opening a browser. Similarly, a Trello MCP server can add tasks directly from a chat. A coder on Reddit shared, “I saved hours when my AI found a bug in my code just by asking it to check my files.”
2. Community-Driven Growth
The MCP servers GitHub community is buzzing, with lists like appcypher/awesome-mcp-servers showcasing over 600 servers. From database tools to creative apps like Blender, these open source MCP servers are constantly improving thanks to developers worldwide.
3. Works Across Platforms
Whether you’re using MCP servers Claude, Cursor, or Cline, the protocol ensures compatibility. This means you can switch between AI tools without starting over, which is a huge plus for flexibility.
4. Keeps Data Safe
Security is a priority with MCP servers. For example, Cline requires user approval before the AI can edit files or run commands, ensuring no accidental changes occur.
5. Growing Fast
Since MCP’s launch, its adoption has skyrocketed. In fact, within days of its release, developers built dozens of servers, as noted on Reddit. By 2025, Awesome-MCP servers lists are essential for finding the best options, reflecting MCP’s widespread use.
Top MCP Servers to Try in 2025
To help you get started, here’s a MCP servers list featuring popular servers from MCP servers GitHub and other sources:
1. GitHub MCP Server
- What It Does: Lets AI manage GitHub projects, like checking code or creating issues.
- Example Use: Ask Claude to “summarize my recent commits.”
- Source: modelcontextprotocol/servers
- Why It’s Great: Perfect for coders who want quick project insights.
2. File System MCP Server
- What It Does: Allows AI to read or edit local files.
- Example Use: Tell Cursor to “update my README file.”
- Source: modelcontextprotocol/servers
- Why It’s Great: Simplifies file tasks without manual searching.
3. Trello MCP Server
- What It Does: Connects to Trello for task and board management.
- Example Use: Ask Claude to “add a task to my project board.”
- Source: danhilse/trello_mcp
- Why It’s Great: Boosts productivity for Trello users.
4. MySQL MCP Server
- What It Does: Enables AI to query MySQL databases.
- Example Use: Ask Cline to “find recent orders in my database.”
- Source: modelcontextprotocol/servers
- Why It’s Great: Ideal for data-driven projects.
5. Playwright MCP Server
- What It Does: Automates web tasks like scraping or clicking buttons.
- Example Use: Tell Claude to “get the latest news headlines.”
- Source: mcp.so
- Why It’s Great: Makes web automation easy.
6. BlenderMCP
- What It Does: Links AI to Blender for 3D modeling.
- Example Use: Ask Claude to “create a simple 3D cube.”
- Source: mcp.so
- Why It’s Great: Exciting for artists and designers.
7. Weather MCP Server
- What It Does: Fetches live weather data.
- Example Use: Ask Cursor to “check today’s forecast.”
- Source: appcypher/awesome-mcp-servers
- Why It’s Great: Useful for location-based apps.
8. Calculator MCP Server
- What It Does: Solves math problems via AI.
- Example Use: Ask Claude to “calculate my project budget.”
- Source: SecretiveShell/MCP-calculator
- Why It’s Great: Enhances AI’s problem-solving skills.
9. Awesome-MCP Servers
- What It Does: A collection of 600+ MCP servers for various tasks.
- Example Use: Find servers for coding, productivity, or creativity.
- Source: punkpeye/awesome-mcp-servers
- Why It’s Great: A go-to resource for discovering servers.
10. MCP Installer
- What It Does: Simplifies installing other MCP servers.
- Example Use: Set up multiple servers with one tool.
- Source: anaisbetts/mcp-installer
- Why It’s Great: Makes MCP accessible to beginners.
How to Start Using MCP Servers
Excited to try MCP servers? Follow these steps to get going with Claude, Cursor, or Cline:
Step 1: Pick an AI Tool
- Claude Desktop: Download from anthropic.com for MCP support.
- Cursor: Install this AI-powered code editor and add your Anthropic API key.
- Cline: Use the Cline extension in VS Code for MCP integration.
Step 2: Choose a Server
- Visit Awesome-MCP servers on GitHub (punkpeye/awesome-mcp-servers) or mcpserverfinder.com.
- Try the GitHub MCP server or File System MCP server for starters.
Step 3: Set Up the Server
- Download the server’s code from GitHub (e.g.,
git clone https://github.com/modelcontextprotocol/servers). - Follow the setup guide, which usually involves:
- Installing tools like Node.js or Python.
- Adding API keys or permissions.
- Starting the server with a command like
node index.js.
Step 4: Link Your AI Tool
- In Claude Desktop, paste the server’s GitHub link to install it.
- For Cursor or Cline, enter the server’s address in the settings.
- Test it by asking the AI something like “show my recent files.”
Step 5: Experiment and Build
- Try different servers to match your tasks.
- Join the open source MCP servers community by sharing your own server on MCP servers GitHub. Check modelcontextprotocol/servers for tips.
Challenges and What’s Next for MCP Servers
Despite their benefits, MCP servers face a few hurdles:
- Limited Support: Not all AI tools, like ChatGPT, use MCP, which can confuse users. However, OpenAI’s SDK support is a step forward.
- Setup Difficulty: Installing servers can be tricky for beginners, but tools like mcp-installer help.
- Finding Servers: With so many options, choosing the right one is tough. Thankfully, Awesome-MCP servers makes this easier.
Looking ahead, MCP servers are set to grow. For example, X posts highlight new marketplaces like OpenMCP, where developers can share and sell servers. Moreover, Anthropic’s focus on open-source tools suggests MCP servers Anthropic will keep pushing boundaries. By 2026, we might see even simpler setup processes and broader AI support.
Frequently Asked Questions (FAQs)
What are MCP servers?
MCP servers are programs that let AI tools like Claude or Cursor connect to data and apps, such as files or websites, using the Model Context Protocol.
Does ChatGPT have MCP?
No, ChatGPT doesn’t use MCP directly. Instead, it relies on OpenAI’s own tools, but some MCP servers can work with OpenAI’s Agents SDK.
What does MCP mean in AI?
In AI, MCP means Model Context Protocol, a standard way for AI to talk to tools and data, making tasks like file editing or web searches easier.
Conclusion
In 2025, MCP servers are changing how we use AI, making it easier to connect tools like Claude, Cursor, and Cline with real-world data. From MCP servers GitHub to Awesome-MCP servers, the open-source community offers countless options to boost productivity and creativity. Whether you’re coding, managing tasks, or exploring new ideas, open source MCP servers provide a simple, secure way to get more from AI.
To start, check out MCP servers list on mcpserverfinder.com or explore punkpeye/awesome-mcp-servers. With MCP servers Anthropic leading the charge, now’s the perfect time to dive in and shape the future of AI integration.
Key Resources:
By using MCP servers, you’re not just keeping up with AI—you’re making it work smarter for you.