10 Best MCP Servers to Boost Cursor Productivity

Jumping between apps, APIs, and services while coding breaks your rhythm. All that context-switching adds up, and it’s exhausting. Cursor’s Model Context Protocol (MCP) changes that. It lets you bring powerful external tools straight into your IDE, so you can run scripts, test code, fetch data, or deploy, all without breaking focus.

There are now over 1,800 MCP servers available through Cursor, covering everything from browser automation to AI tools, deployment hooks, and custom agents. In this post, we’ll highlight 10 of the most useful ones, servers that quietly boost your workflow, cut down on busywork, and let you code with fewer interruptions.

Key Takeaways

• Cursor MCP servers connect your IDE to powerful external tools, letting you automate testing, browser actions, scraping, API calls, and more without writing glue code.
• They cut down on context-switching by embedding tools like Figma, Notion, Zapier, and Firecrawl directly into your development flow.
• With support for scraping, UI inspection, deployment, database interaction, and design-to-code conversion, MCP servers turn Cursor into a central hub for full-cycle development.
• Whether you're testing, deploying, debugging, or generating UI from a design file, these servers help you work faster, without leaving your editor.

What are Cursor MCP Servers?

MCP servers in Cursor connect your IDE to external tools, APIs, databases, and services using a protocol called Model Context Protocol (MCP), introduced by Anthropic in 2024. These servers act like bridges, allowing models and scripts inside Cursor to interact with outside systems in real time.

They let you automate tasks, run queries, fetch data, and trigger actions, without switching tabs or wiring up custom integrations. Whether you’re pulling logs, testing endpoints, or deploying code, MCP servers keep everything inside your workflow.

In short, they bring the outside world into your IDE, so you don’t have to leave it.

Here are some of the key benefits of using MCP servers.

• Integrated Tools: Use different tools and services directly inside Cursor, no extra setup or app-switching needed.
• Faster Workflows: Handle tasks like database queries, sending emails, or scraping websites without leaving your coding environment.
• Live Data Access: Pull in real-time info like logs, system metrics, or external API responses, right from your editor.
• One Workspace: Do more in one place. Run commands, test endpoints, or deploy code without jumping between tools.

Ideal Users for MCP Servers in Cursor

MCP servers are built for anyone who works across tools and data and wants to keep everything inside their coding environment. It’s not just for backend engineers. Here’s a broader look at who actually benefits:

• Developers: Automate tasks, connect third-party APIs, test endpoints, trigger deployments, and more, without leaving the IDE. Think Postman-like testing, server control, and webhook debugging all from one place.
• DevOps & Infrastructure Engineers: Monitor services, manage cloud environments (AWS, GCP, DigitalOcean), interact with Kubernetes clusters, or tail logs, right from inside Cursor.
• Data Scientists & Analysts: Pull data from platforms like BigQuery, Snowflake, or Notion; run transformations; or visualize outputs, all without leaving your notebooks or scripts.
• AI/ML Engineers: Use tools like Label Studio, OpenAI’s function calling, LangChain chains, or custom models, directly in your coding flow. Fine-tune, annotate, or run inference in one click.
• Designers & Frontend Devs: Connect to Figma, Storybook, or browser automation tools to grab assets, inspect UI states, or test components in real-time.
• Product Managers & Ops Teams: Fetch metrics from Amplitude or Mixpanel, interact with Zapier flows, trigger alerts from Slack, or query dashboards without digging through a dozen browser tabs.
• Anyone Working with APIs: Whether it’s scraping content, fetching GitHub issues, sending emails through Mailgun, or automating calendar tasks—if it talks to an API, you can likely wire it up via an MCP server.

How Do MCP Servers Work?

MCP servers communicate with Cursor through three primary transport methods:

• stdio: Local execution where Cursor manages a single user session, typically using shell commands.
• SSE (Server-Sent Events): Local or remote deployment as a server supporting multiple users, utilizing SSE endpoints.
• Streamable HTTP: Local or remote server deployment supporting multiple users, using HTTP endpoints.

MCP servers are versatile and can be used with any Cursor-compatible tool. The configuration is simple, whether you’re using SSE, HTTP, or stdio transport methods. 

Top 10 MCP Servers to Maximize Your Cursor Productivity

Here are ten MCP servers that can take your Cursor productivity to the next level, each designed to integrate seamlessly with the platform.

1. Firecrawl MCP Server

Firecrawl is an MCP server that integrates with AI tools like Cursor to provide seamless web scraping capabilities. It lets AI agents automatically fetch, parse, and structure data from any website, reducing the need for traditional, manual scraping code. 

How It Works

• Automated Data Collection: Firecrawl scrapes web pages automatically by targeting specific URLs or search queries.
• Search and Content Discovery: Go beyond static URLs. Firecrawl can crawl linked pages, follow trails across a site, and surface relevant content, perfect for deep research or indexing tasks.
• Smart Parsing: Once pages are fetched, Firecrawl extracts the meaningful bits, text, metadata, and links, and organizes them into structured formats like JSON, ready to plug into your application or analysis pipeline.
• Batch Scraping: Handle large-scale scraping tasks by collecting data from many URLs in one go. Built-in rate limiting helps avoid tripping website defences or getting IP-blocked.
• Automatic Retries and Error Handling: If something goes wrong, timeouts, blocks, or failed loads- Firecrawl retries intelligently, reducing the chance of broken datasets or incomplete crawls.
• JavaScript Support: Need data from dynamic pages? Firecrawl can handle JavaScript-rendered content, load interactive components, and extract data that doesn’t show up in the page source.
• Pagination Handling: When the content stretches across multiple pages, Firecrawl can click “next,” scroll, or follow pagination logic to get the full dataset.
• Cloud and Self-Hosted Options: Run it in the cloud or host it yourself, depending on how you want to manage resources and privacy.
• SSE Support: Firecrawl supports Server-Sent Events (SSE) for real-time updates and streaming data back to your app or tool.

Key Benefits

• Zero Code Required: No need to write scraping code or deal with complex APIs.
• Fast Setup: Simply provide the URLs you want to scrape, and Firecrawl handles the rest.
• Scalable: Collect data from a large number of websites without manual intervention.
• Advanced Capabilities: Handles JavaScript-heavy sites, ensuring you can scrape data from modern, dynamic websites.

What Makes It Different?

Unlike traditional scraping tools, Firecrawl’s deep integration with AI agents eliminates the need for coding or setup, allowing you to focus purely on the data extraction process. It provides reliable data, even from complex websites, and automatically adjusts to bypass common blockers like captchas and rate limits, which is often a pain in manual scraping.

2. Browserbase MCP Server

Browserbase is an MCP server designed for cloud-based browser automation, enabling AI agents to interact with web pages and perform automated browsing tasks directly from the development environment. 

Whether you’re testing web applications, scraping dynamic content, or automating repetitive tasks, Browserbase enhances AI agent capabilities by bringing cloud-based browser functionalities right into your IDE.

How It Works

• Browser Sessions: Spin up and control browser sessions in the cloud. AI agents can visit pages, click through links, scroll, and interact just like a real user.
• Web Interaction: Agents can handle user actions, clicking buttons, filling out forms, and navigating through pages, automatically and reliably.
• Data Extraction: Pull structured data from any page. Whether it’s tables, product listings, or article content, it’s parsed and organized for use right away.
• Screenshot Capturing: Snap full-page or targeted screenshots—great for debugging, logging visual layouts, or verifying UI elements.
• Vision Support: For pages with complex layouts or tangled DOMs, Browserbase supports vision models using annotated screenshots to help understand what’s on screen.
• JavaScript Execution: Run scripts inside the browser. Automate tricky tasks, work around lazy loading, or manipulate page state as needed.
• Session Management: Open, manage, and close browser sessions as needed, giving you full control over the browsing lifecycle.
• Multi-Session Browsing: Run multiple browser sessions in parallel. Perfect for large scraping jobs, split testing, or handling multiple user flows at once.
• Model Flexibility: Works across a wide range of AI models, OpenAI, Claude, Gemini, and others, so you’re not locked into one toolset.

Key Benefits

• Automation in the Cloud: Automates browser tasks without requiring any local setup or infrastructure.
• UI/UX Testing: Automatically interact with and test the UI elements of web applications.
• Data Extraction: Scrape data from JavaScript-heavy websites that traditional scrapers struggle with.
• Visual Verification: Use screenshot capture to check the visual aspects of web pages for consistency and performance.

What Makes It Different?

Browserbase removes the friction. No more local browser automation tools to install. No more juggling with setup scripts or system dependencies. Just add it to your development setup and you’re off. It runs inside your workflow, directly in your IDE, so you can automate, test, and debug without stepping outside your environment.

3. TestSprite MCP Server

TestSprite brings autonomous testing directly into your IDE through an MCP server, turning your AI assistant, like Cursor, into a full-featured QA teammate. It handles test planning, execution, and even bug fixing, all without you leaving your development environment. No more bouncing between tools, writing manual test cases, or chasing bugs after the fact. With TestSprite connected, testing becomes part of your coding flow, fast, hands-off, and reliable.

How It Works

Getting started is simple. Just drop your project folder into the chat and ask, “Help me test this project with TestSprite.” From there, the MCP server handles the rest:

• Reads your Product Requirements Document (PRD)
• Analyzes your codebase and generates smart, targeted test plans
• Runs the tests in the cloud and returns clear, detailed results
• Automatically fixes issues based on what the tests uncover

All of this happens right inside your IDE, no extra setup, no switching tabs.

Key Benefits

• Zero Test Writing: No need to manually write test cases.
• Instant Feedback: Get test results in minutes.
• Automatic Fixes: Bugs are automatically fixed by AI.

What Makes It Different?

TestSprite offers:

• Automated test creation
• Zero setup or configuration required
• Seamless integration into your coding workflow

It simplifies the testing process and ensures comprehensive coverage, including functional, security, and edge case testing.

4. Peekaboo MCP Server

Peekaboo is an MCP server that operates on macOS and enables AI agents to take screenshots of applications or your entire system. This functionality is crucial for debugging, as it allows the AI to capture the exact visual state of the application during a particular operation. 

How It Works

• Screen-Aware AI: Peekaboo captures full-screen or window-specific screenshots in real time, without changing window focus, so your AI always sees what’s actually happening on the system.
• Visual Understanding: Once a screenshot is captured, Peekaboo feeds it into vision models like GPT-4.1, Claude, or even local models like Ollama for image analysis, UI comprehension, and element recognition.
• GUI Automation (v3): Beyond observation, the agent can now act, clicking buttons, typing into fields, scrolling through apps, and interacting with native macOS windows entirely via natural language commands.
• Smart Detection: It automatically maps out UI components, buttons, text inputs, links with precise coordinates, enabling pixel-level navigation and task execution.
• Fuzzy Control & Session Awareness: Peekaboo keeps track of windows, apps, and displays using smart matching, so your agent always knows what’s in focus, even across multiple screens, without manual selection.

Key Benefits

• Improved Debugging: Automate screenshot captures during specific events to diagnose visual and UI-related issues.
• Faster Problem Resolution: AI analysis provides instant feedback and insight into visually noticeable issues.
• Context-Aware Analysis: Peekaboo not only captures images but also enables the AI to understand the captured data in relation to your project’s code or state.

What Makes It Different?

Peekaboo allows the AI to "see" and understand what's going wrong with a real-time screenshot analysis. It’s perfect for improving your debugging workflow and accelerating the detection of UI/UX problems that are difficult to spot programmatically.

5. BYTEROVER MCP Server

BYTEROVER is an MCP server designed to create a shared memory layer for AI coding agents. It captures and indexes all interactions, reasoning paths, and developer feedback during coding tasks, allowing the AI to utilize past experiences and optimize solutions based on context.

How It Works

• Shared Memory for AI Agents: BYTEROVER creates a shared memory system that records every agent interaction and developer feedback.
• Indexing for Optimization: The stored data is indexed, making it easy for the AI to retrieve relevant information when it faces similar challenges.
• Contextual Memory Retrieval: As AI agents encounter familiar situations, they can access the stored memories, allowing them to suggest or implement the most optimal solutions based on past knowledge.

Key Benefits

• Enhanced AI Performance: AI agents can recall past solutions, improving their performance over time.
• Optimized Problem-Solving: The shared memory layer allows the AI to analyze context and deliver more accurate, tailored solutions.
• Efficient Development: By utilizing historical interactions, BYTEROVER minimizes the need to debug or solve similar problems repeatedly, speeding up the development process.

What Makes It Different?

Unlike traditional AI models that work in isolation, BYTEROVER creates a dynamic memory layer, enabling agents to build on past experiences and reasoning. This makes the AI more efficient, reducing time spent on repetitive tasks and improving overall coding accuracy.

6. GibsonAI MCP Server

The GibsonAI MCP Server brings an innovative approach to managing databases. Powered by AI, it enables you to design, deploy, and scale production-grade databases in minutes, without the need for deep technical expertise or manual configurations.

How It Works

• Natural Language Database Design: Simply describe your database requirements, and GibsonAI automatically generates the necessary database schema, ORM models, validation schemas, and CRUD APIs.
• Real-Time Adjustments: Modify your database structure on the fly and see changes in real-time within your IDE.
• Scalable and Optimized: GibsonAI ensures your database is not only functional but also optimized for production environments.

Key Benefits

• Faster Database Deployment: Automatically generate database schemas, ORM models, and APIs.
• No Code or SQL Expertise Needed: Work with databases using simple descriptions in natural language.
• AI-Powered Optimization: Ensure databases are scalable and optimized for performance without manual intervention.

What Makes It Different?

Traditional database management can be slow and complex, often requiring extensive knowledge of SQL, ORM, and server configuration. GibsonAI simplifies the process by utilizing AI to handle these tasks, allowing you to focus on building your applications instead of worrying about database intricacies.

GibsonAI ensures that the backend of your applications is always perfectly designed, secure, and scalable, all in a fraction of the time compared to traditional methods.

7. AllThingsDev MCP Server

AllThingsDev MCP Server is a gateway to an extensive collection of APIs from various domains. It offers a smart discovery platform that helps developers find the right APIs for their projects, with the added benefits of pricing comparison, comprehensive documentation, and real-time data access, all within the IDE.

How It Works

• API Discovery: AllThingsDev enables quick access to a wide range of APIs in areas like AI, finance, security, and e-commerce. Developers can search through APIs based on categories and requirements.
• Smart API Selection: With built-in smart discovery, the server provides recommendations based on your project's needs, helping you find the most suitable API quickly.
• Real-Time Data: Get real-time data from integrated APIs directly within your development environment, allowing you to interact with external systems without leaving the IDE.

Key Benefits

• Over 600 APIs: Gain access to a huge library of APIs across multiple categories, such as AI, e-commerce, security, and more.
• Simplified Integration: Easily integrate APIs into your project without leaving your IDE, reducing setup and configuration time.
• Improved Efficiency: The smart discovery feature helps developers identify the most relevant APIs quickly, improving the overall efficiency of the development process

What Makes It Different?

Unlike traditional methods of integrating third-party APIs that often require switching between tools and manually configuring endpoints, AllThingsDev brings all the necessary resources directly to your IDE. This centralized approach streamlines development, making it easier to find, evaluate, and implement APIs, saving both time and effort.

8. Notion MCP Server

The Notion MCP Server connects your IDE to your Notion workspace, allowing you to search, read, create, and update pages or databases, all without leaving Cursor. Whether you're documenting features, managing tasks, or syncing data, this server makes Notion part of your dev flow.

How It Works

• Page Operations: Search for, read, update, or create Notion pages directly from your IDE. Supports block-level editing, comments, and markdown formatting.
• Database Support: Create databases, insert rows, filter entries, and update structured records, all through prompts.
• Content Rendering: Clean, markdown-rich output with support for headings, code blocks, checkboxes, images, and nested lists.
• Interactive Comments: Add or retrieve comments from any block or page as part of your collaboration loop.

Key Benefits

• Context-Aware Documentation: Update docs and specs while coding—no tab-switching or copy-paste needed.
• Full Workspace Access: Search across your workspace, modify entries, or log updates during development.
• Structured Data Handling: Easily manage Notion databases with filters, sorting, and property support.
• Rich Formatting: Content is easy to read, edit, and structure, just like in Notion.

What Makes It Different?

Unlike basic Notion API wrappers, the Notion MCP Server is built specifically for seamless interaction inside your IDE. It understands how developers use documentation and planning tools during coding, and brings those tools into the same window. From design notes to bug triage checklists, it keeps everything close, structured, and in sync.

9. Zapier MCP Server

The Zapier MCP Server gives your AI assistant the power to interact with over 8,000 apps and 30,000+ actions, without writing a single line of integration code. From sending Slack messages to updating CRM records, it connects your IDE to the real world with just a few clicks.

How It Works

• Generate Your Endpoint: Instantly create a secure MCP server URL that connects Cursor (or any supported platform) to Zapier’s automation engine.
• Configure Actions: Select what your AI can do—send emails, update spreadsheets, schedule meetings—without exposing full account access.
• Link to Your AI Assistant: Once connected, your assistant can execute real-world actions directly from chat, scripts, or agent workflows.
• Customizable Control: Scope, edit, and restrict available actions to keep things safe and focused.

Key Benefits

• No-Code API Access: Skip custom integrations. Your AI can talk to thousands of tools through one connection.
• Works Everywhere: Whether you’re in Cursor, Claude, or any LLM-powered IDE, it just works.
• Secure by Design: Zapier handles auth, tokens, rate limits, and retries; you just call the action.
• Built for Scale: Automate tasks across Google Workspace, Slack, Salesforce, HubSpot, and more with almost zero setup.

What Makes It Different?

Most tools require writing custom wrappers or stitching APIs together. Zapier MCP flips that. It turns your AI into an action engine, able to trigger real events in real apps, instantly. Whether it’s logging an issue in Jira, updating a Notion database, or firing off a webhook to Stripe, Zapier MCP bridges chat and execution. It’s automation with reach, built directly into your workflow.

10. Figma MCP Server

The Figma MCP Server (via Framelink) lets your coding agent pull structured design data directly from your Figma files, making one-shot UI implementation faster, cleaner, and far more accurate than using screenshots or pasted specs.

How It Works

• Design Link Input: Copy a link to a specific Figma frame or group and paste it into your IDE’s chat.
• Design Parsing: The server compresses and extracts frame-level design data, including layout, components, styles, and structure.
• AI Code Generation: Your coding agent uses this structured data to generate clean UI code, often with pixel-level accuracy.
• Section-by-Section Support: For best results, provide focused design links rather than full files to avoid overwhelming the agent.

Key Benefits

• Better Than Screenshots: Structured design data gives the AI a complete picture, more accurate than interpreting images.
• One-Shot Code: Frontend components can be generated in a single step, often ready for production or quick iteration.
• Minimal Setup: Just plug in your Figma access token and paste a link—no manual handoff required.
• Works Across Stacks: Generates code that fits into any frontend framework—React, Vue, HTML/CSS, and more.

What Makes It Different?

Unlike image-to-code tools that rely on visual inference, the Figma MCP Server taps directly into your Figma files via API, giving your agent the actual layout, styles, and structure. That means more accurate code, cleaner components, and fewer design-to-dev translation issues. It’s the fastest way to go from design to working UI, without context loss.

How to Integrate MCP Servers with Cursor?

Integrating MCP servers into Cursor is a straightforward process. Here’s how you can get started with adding these powerful servers to increase your productivity:

1. Prerequisites

Before you begin integrating MCP servers, ensure you have the following tools installed:

• Node.js (for Node-based MCP servers)
• Python (for Python-based MCP servers)
• Cursor IDE: If you haven’t already installed Cursor, download it from the official website and follow the setup instructions.

2. Transport Methods for MCP Servers

Cursor supports three transport methods for MCP servers, which define how they communicate and work with external services:

Depending on your use case (local vs. remote deployment, single vs. multiple users), you will choose one of these methods for the server you wish to integrate.

3: Install MCP Servers

There are two main ways to install MCP servers in Cursor:

One-click Installation

Cursor now supports one-click installation for many MCP servers:

1. Browse the MCP Tools Directory from Cursor's settings.
2. Find the server you want (like Google Drive, Slack, etc.).
3. Click the "Add to Cursor" button to install it.
4. Authenticate with OAuth (for servers that require it) directly within the interface.

Using mcp.json File for Custom Servers

You can also configure custom MCP servers manually by editing the mcp.json file. Here’s a step-by-step guide:

Step 1: Open Your Cursor IDE

Launch Cursor and open your project folder.

Step 2: Access MCP Settings

In the Cursor IDE, navigate to the settings menu by clicking on File > Preferences > Cursor Settings. Here, you will find the MCP settings tab.

Step 3: Add a New MCP Server

To add a new MCP server, click on the “Add New MCP Server” option. You’ll be prompted to enter the configuration details for the server you wish to integrate. This includes the server’s name, command, and any environment variables (e.g., API keys or authentication tokens).

Example for adding a Google Drive MCP server:

{
  "mcpServers": {
    "gdrive": {
      "command": "npx",
      "args": ["-y", "@mcp/gdrive"],
      "env": {
        "GOOGLE_CLIENT_ID": "your-client-id",
        "GOOGLE_CLIENT_SECRET": "your-client-secret"
      }
    }
  }
}

Step 4: Save and Activate

After entering the configuration, save the file. Cursor will automatically recognize the new MCP server. You’ll see a green dot next to the server name, indicating it’s connected successfully. If there’s an issue, a red dot will appear.

4. Authentication

For most services, MCP servers use OAuth for authentication. For services like Google Drive, Slack, and GitHub, you will authenticate with OAuth tokens and pass them through environment variables.

1. API Keys and Tokens: For services that require authentication, provide the required API keys or OAuth tokens in the mcp.json file using environment variables.
2. For OAuth-based servers, follow the prompts within Cursor to authenticate using OAuth directly from the IDE.

5: Using MCP Servers in Cursor

Once you’ve added your MCP server(s) in Cursor, here’s how you can use them:

Using MCP in Chat:

• The Composer Agent in Cursor will automatically offer tools listed under "Available Tools" when they are relevant to your query.
• For example, you can type, "List my Google Drive files" or "Send a Slack message", and Cursor will interact with the appropriate MCP server.

Toggling Tools:

• You can enable or disable MCP tools directly from the chat interface. This helps you control which servers are active during a session.
• Disabled tools won’t be loaded into context and will not be available to the Composer Agent.

Auto-run:

Enable auto-run for tools you want to use without having to confirm each time. This is especially useful for tools that need to run background tasks automatically, such as syncing files from Google Drive or sending automated Slack messages.

Security and Best Practices

As with any system integration, security is a top priority when using MCP servers with Cursor. Since MCP servers can access external services and execute actions on your behalf, it is crucial to follow security best practices to safeguard your data and operations.

1. Verify the Source of MCP Servers

Before installing any MCP server, ensure it comes from a trusted developer or official repository. Unverified servers can carry security risks, such as malware or vulnerabilities, which could compromise your system. Always download and install servers from reputable sources to avoid exposing your system to potential threats.

2. Use Restricted API Keys

Only provide MCP servers with the necessary API permissions for their functionality. For example, instead of granting full access to your data, use restricted API keys with read-only access when appropriate. This minimizes the risk if a server is compromised, limiting the potential damage to your data.

3. Regularly Review Permissions

Permissions should not be set once and forgotten. Regularly audit your server configurations and the permissions granted to each server. As your needs change, so should the level of access that each server has. Limiting permissions to the minimum required prevents unnecessary exposure to security vulnerabilities.

4. Securely Manage Credentials

MCP servers often require sensitive information like API keys, tokens, or other credentials. Never store these directly in configuration files or code. Use environment variables, secret management tools, or secure vaults to manage and retrieve credentials securely.

5. Keep MCP Servers Updated

Just like any other software, keeping your MCP servers updated is essential for both security and performance. Updates may include security patches, bug fixes, or performance improvements that prevent your system from becoming outdated or vulnerable. Set up a schedule to check for updates regularly or enable automatic updates where possible.

6. Monitor and Analyze Logs for Issues

Regularly review the logs generated by your MCP servers to identify any unusual activity. Timely detection can save you from major complications down the road.

By adhering to these best practices, you ensure that your MCP servers are not only efficient but also secure, allowing you to work confidently and productively within Cursor.

Wrapping Up

Integrating MCP servers with Cursor can significantly enhance your workflow by consolidating various tools and data sources into a seamless, unified environment. With the ability to connect a wide range of services directly to your IDE, you can automate repetitive tasks, streamline your development processes, and ultimately focus more on problem-solving and innovation. 

These servers not only improve efficiency but also ensure that your tools are readily available whenever needed, making your development experience smoother and more effective.

FAQs

Q1. What are MCP servers, and how do they work with Cursor?

MCP (Model Context Protocol) servers are external tools or data sources that integrate directly with Cursor, enabling seamless communication between your IDE and various services.

Q2. How do I add MCP servers to Cursor?

You can easily add MCP servers to Cursor by configuring them in the .cursor/mcp.json file. For pre-built servers, use the one-click installation option, or manually configure custom servers by specifying the necessary command, arguments, and authentication details.

Q3. Can I use multiple MCP servers at once in Cursor?

Yes, Cursor MCP servers allow integration with multiple tools simultaneously. You can configure multiple servers in the .cursor/mcp.json file and switch between them as needed, ensuring a flexible and adaptable workspace.

Q4. Are there any security risks when using MCP servers?

Yes, it's crucial to review the permissions and authentication methods for each MCP server. Always verify the source of the servers and limit the permissions of API keys to minimize security risks. Regularly update servers and monitor logs for potential issues.