How one can Use MCP with Cursor AI?

AI is altering how we construct software program. Instruments like MCP(Mannequin Context Protocol) and Cursor AI are main this shift. Cursor AI permits you to write code utilizing pure language, whereas MCP provides good processing and automation on high. Collectively, they make improvement sooner and simpler. With Cursor AI MCP servers, you possibly can hook up with exterior instruments for duties like reasoning or net search. The MCP with Cursor AI integration makes use of the Mannequin Context Protocol to energy this connection.

On this article, you’ll discover ways to join Cursor AI with MCP to unlock smarter, extra automated improvement workflows. We’ll begin by breaking down what Cursor AI and the Mannequin Context Protocol truly are, why they matter, and the way they work collectively. Then, we’ll information you thru the steps to put in each instruments and arrange your setting.

What’s Cursor AI?

Cursor AI is a contemporary AI-powered code editor that permits builders to focus extra on logic and design relatively than syntax. It accepts pure language directions and generates high-quality, context-aware code. Cursor additionally consists of options like Pure language-based, codingAI-assisted, debuggingIntelligent documentation lookup and Integration with model management.

How one can Set up Cursor AI?

Earlier than diving into vibe coding, you’ll want to put in Cursor AI. Right here’s a step-by-step information to get you began:

1. Obtain Cursor AI

Go to the official web site cursor.com and click on the Obtain button. The web site ought to mechanically detect your working system and supply the proper set up file.

2. Run the Installer

For Home windows and macOS:

Merely run the downloaded installer file and comply with the on-screen directions, simply as you’ll with some other utility.

For Linux (Ubuntu): 

1. Obtain the AppImage file offered for Linux. 
2. Open a terminal and transfer the AppImage to a everlasting location (e.g., the /decide listing) by working:

sudo mv [name-of-file] /decide/cursor.appimage

3. Make the AppImage executable with:

chmod +x /decide/cursor.appimage

3. Launch Cursor AI

For Home windows and macOS:

After set up, launch Cursor AI from the desktop shortcut or your functions menu.

For Linux (Ubuntu):

1. Create a desktop entry by opening a terminal and executing:

sudo nano /usr/share/functions/cursor.desktop

2. Insert the next content material into the file:

[Desktop Entry]
Title=Cursor
Exec=/decide/cursor.appimage
Icon=/decide/cursor.png
Sort=Software
Classes=Growth;

3. Save the file (press Ctrl+X, then Y, then Enter).
4. (Non-compulsory) To set an utility icon, Place a PNG picture named cursor.png within the /decide listing. You would possibly must log off and log again in for the modifications to take impact.

4. Preliminary Setup and Configuration

On the primary launch, you’ll be prompted to configure important settings resembling keyboard shortcuts, the language for AI interactions, and whether or not to allow codebase-wide indexing.

It’s also possible to select to put in extra instructions that allow you to launch Cursor AI instantly from the terminal.

5. Import VS Code Settings (Non-compulsory)

If you happen to use Visible Studio Code, you could be prompted to import your VS Code settings. This step imports your extensions, themes, person settings, and keyboard shortcuts to offer a well-recognized improvement setting.

6. Signal Up / Login

Create an account utilizing your e-mail, Google, or GitHub credentials. Upon registration, new customers usually obtain a free trial of Cursor Professional.

You’ll be able to discuss with this weblog for extra info on Cursor AI.

What’s MCP?

Mannequin Code Processing (MCP) is a modular backend that leverages pre-trained AI fashions for code understanding, technology, and transformation. It’s designed to automate repetitive duties, refactor massive codebases, and combine good mannequin workflows into improvement environments.

When used alongside Cursor AI, MCP acts as a backend intelligence layer, enhancing the event expertise.

For extra info on MCP, refer to those articles: 

1. What’s MCP
2. How one can use MCP

Now that Cursor AI is within the earlier step. We will begin integrating MCP.

Setting-up MCP Servers in Cursor AI

Cursor AI permits you to lengthen its performance utilizing MCP (Modular Command Protocol) servers. On this information, we’ll stroll by organising two completely different MCP servers:

1. Sequential Considering MCP – for structured, reflective problem-solving
2. DuckDuckGo Internet Search MCP – for real-time net information and search capabilities.

Sequential Considering MCP Server Setup

This server helps you break down advanced duties right into a structured, step-by-step course of, superb for planning, technique, or modular improvement workflows.

Step 1: Generate a Smithery API Key

To attach any MCP server hosted on Smithery AI, you want an API key:

1. Go to Smithery AI and log in.
2. Navigate to your Dashboard and discover the API Key part.
3. Click on on Generate API Key.

 This key will enable Cursor AI to authenticate and join with the MCP server.

Step 2: Copy the Set up Command

Subsequent, seize the command wanted to attach Cursor AI to the server:

1. Open the Sequential Considering MCP Server web page on Smithery.
2. Navigate to the Overview part.
3. Click on on the Cursor tab.
4. Copy the offered set up command; we’ll use this so as to add the server in Cursor.

Step 3: Join the MCP Server in Cursor

Now let’s join it inside Cursor AI:

1. Open Cursor IDE and go to Settings.

2. Navigate to the MCP Servers part.

3. Click on on Create New MCP Server.
4. Enter a reputation like Sequential Considering.
5. Paste the copied command from Smithery.
6. Click on Add to save lots of and join the server.

As soon as added, the server will seem in your listing of configured MCPs prepared for use in your prompts.

Step 4: Take a look at the Server with a Immediate

Let’s run a check in Cursor that requires sequential reasoning. Sort the next immediate: “I need you to construct a sport and let’s do it utilizing sequential pondering don’t give me any code.”

As proven within the earlier video, once we run the immediate, the Sequential Considering MCP server will get triggered and supplies a transparent, considerate response confirming that the whole lot is working appropriately.

DuckDuckGo Internet Search MCP Server Setup

After integrating the Sequential Considering MCP server, we’re now transferring on to arrange the DuckDuckGo Internet Search MCP, a server that allows real-time net shopping capabilities instantly from inside Cursor AI.

That is particularly useful whenever you’re engaged on prompts that want dwell information, present information, or any web-based reference.

Step 1: Finding the DuckDuckGo MCP on Smithery

Identical to we did for the Sequential Considering server, navigate to Smithery AI and comply with these fast steps:

1. Use the search bar or discover the listing of servers.
2. Choose DuckDuckGo Internet Search MCP.
3. As soon as on the server web page, swap to the Overview tab.
4. Open the Cursor part and duplicate the mixing command.

Be aware: If you happen to haven’t generated a Smithery API Key but, discuss with the earlier steps the place we defined how you can generate and use it.

Step 2: Connecting DuckDuckGo Server to Cursor AI

Since we’ve already walked by how you can join an MCP server in Cursor IDE, comply with the identical stream right here:

1. Open Cursor IDE Settings.
2. Go to the MCP Servers part.
3. Click on Create New MCP Server.
4. Title it one thing like DuckDuckGo search.
5. Paste the command you simply copied.
6. Hit Add to finalize.

As soon as added, this server might be listed alongside Sequential Considering. Each at the moment are prepared to be used.

Step 3: Take a look at the Server with a Immediate

Let’s run a check in Cursor. Sort a immediate that requires the online search MCP server.

Instance: “Can you discover the highest three outcomes for LangChain vs LlamaIndex”

As proven within the earlier video, once we run the immediate, the DuckDuckGo MCP server is triggered and supplies the service.

Cool Options to Attempt: 3D Modeling with MCP and Cursor

Past producing code and performing net searches, MCP also can step into the world of 3D modeling. With Cursor AI and Blender, you possibly can create and manipulate 3D scenes utilizing simply pure language. Think about typing, “Generate a 3D metropolis with neon lights” or “Scale the dice by 150% on the X-axis”, and watching Blender convey your imaginative and prescient to life by way of Python scripts triggered behind the scenes. Setting it up is simple: configure the MCP server (e.g., utilizing uvx blender-mcp), set up the Blender add-on, and join it to Cursor AI. This opens up a fluid, AI-assisted design workflow excellent for fast prototyping, architectural visualization, sport environments, or simply experimenting with artistic 3D artwork with no tedious scripting required.

Conclusion

Utilizing MCP with Cursor AI makes coding not simply sooner however loads smarter. Cursor AI permits you to write code utilizing plain English, and whenever you pair it with MCP servers, issues actually stage up. For instance, Sequential Considering helps you break down advanced issues into clear, logical steps. DuckDuckGo permits you to search the online proper out of your editor without having to change tabs or open a browser. You simply sort, construct, and see outcomes immediately. This integration between Cursor AI and MCP doesn’t simply streamline your workflow; it truly modifications the way you strategy coding. And the most effective half? You’ll be able to plug in different MCP servers primarily based on what you want. It’s a simple strategy to convey AI help into your on a regular basis improvement.

Continuously Requested Questions

Hello, I’m Janvi, a passionate information science fanatic at the moment working at Analytics Vidhya. My journey into the world of information started with a deep curiosity about how we will extract significant insights from advanced datasets.