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Simplify the development process of Cursor, Windsurf and Cline: Revealing 8 must-have MCP Server plugins

Written by
Iris Vance
Updated on:July-12th-2025
Recommendation

Master the MCP protocol to improve the efficiency of intelligent agent development.

Core content:
1. The importance of the MCP protocol in the intelligent agent ecosystem
2. 8 practical MCP Server plug-ins and their special features
3. Detailed introduction and usage examples of the Sleep, Sentry, and Git Tools plug-ins

Yang Fangxian
Founder of 53AI/Most Valuable Expert of Tencent Cloud (TVP)

background

With the rapid development of agent technology, the MCP (Model Communication Protocol) protocol has gradually become the core communication standard in the agent ecosystem due to its ease of use and efficiency. More and more leading AI code editors (such as Cursor, Windsurf, etc.) have begun to support the MCP protocol, further promoting the popularity of agents. Cline has even launched the MCP Server market, providing developers with a rich selection of tools. So, among the many MCP Servers, which ones are worth a try? This article will recommend several practical MCP Servers to help developers complete R&D tasks more efficiently. 8 Practical MCP Servers

2.1 Sleep

Introduction

Sleep MCP is a plug-in designed to handle API call timing issues. It helps developers insert appropriate waiting time between resource creation and query to avoid failures due to unready data.

feature

  • Simplify complex retry logic
  • Avoid rate limiting issues caused by frequent queries
  • Supports processing of API calls that require time propagation

Usage Examples

Traditional method :

  1. Call an API to create a resource (such as a SendGrid contact).
  2. Try querying resource data now.
  3. Because the data is not ready, the query fails and you need to manually write retry logic or wait code.

Using Sleep MCP :

  1. Call the API to create resources.
  2. Use the Sleep MCP to insert a wait time.
  3. Query resource data to ensure that the data is ready.

Command example :

"Create a SendGrid contact, wait 5 seconds, then get the contact data"

Website

https://github.com/Garoth/sleep-mcp

2.2 Sentry

Introduction

Sentry MCP is a plug-in focused on error tracking and debugging, helping developers quickly locate and solve problems in the code through natural language.

feature

  • Real-time error tracking and intelligent analysis
  • Automatically generate Jira tickets
  • Provide performance bottleneck analysis

Usage Examples

Traditional method :

  1. Open the Sentry dashboard and manually filter the errors for the past 24 hours.
  2. View error details one by one and analyze the stack information.
  3. Manually create Jira tickets and assign tasks.

Using Sentry MCP :

  1. Get error summaries via natural language commands.
  2. Automatically generate Jira tickets and notify relevant teams.

Command example :

"List all new bugs in the mobile app project in the past 24 hours, create a Jira ticket for each bug, and notify the team on Slack"

Website

https://github.com/modelcontextprotocol/servers/tree/main/src/sentry

2.3 Git Tools

Introduction

The Git Tools MCP plug-in converts complex Git operations into natural language commands, simplifying the version control process.

feature

  • Support natural language submission, branch management and code search
  • Automatically generate code difference reports
  • Integrates seamlessly with other MCP plugins

Usage Examples

Traditional method :

  1. Open the terminal and enter the Git command to commit the code.
  2. Manually switch branches and push code.
  3. use git diff See the code diff.

Using Git Tools MCP :

  1. Submit, switch branches, and push through natural language commands.
  2. Automatically generate code difference reports and send them to Slack.

Command example :

"Commit all staged files with the commit message 'Fix login issue', push to the develop branch, and send the diff to the #dev-updates channel"

Website

https://github.com/cyanheads/git-mcp-server

2.4 Task Manager

Introduction

Task Manager MCP plug-in is an intelligent task management tool that helps developers coordinate complex tasks through natural language.

feature

  • Automatically create task queues and manage execution order
  • Support real-time task status query
  • Deep integration with other MCP plugins

Usage Examples

Traditional method :

  1. Create tasks by manually writing scripts or using a task management tool like Trello.
  2. Manually monitor task status and adjust priorities.
  3. Manually trigger subsequent tasks (such as data conversion, uploading, etc.).

Using Task Manager MCP :

  1. Create task queues through natural language commands.
  2. Automatically monitor task status and adjust priorities.
  3. Automatically trigger follow-up tasks and generate reports.

Command example :

"Get data from CRM, convert to CSV, upload to Google Drive, notify me when completed"

Website

https://github.com/pashpashpash/mcp-taskmanager

2.5 Web Research

Introduction

The Web Research MCP plugin turns AI into a powerful research assistant, helping developers quickly obtain and summarize network information.

feature

  • Support Google search and web content extraction
  • Automatically generate article summaries
  • Support cross-session context memory

Usage Examples

Traditional method :

  1. Copy the URL and open your browser to read the article.
  2. Manually summarize article content.
  3. Create a note and save it to Obsidian.

Using Web Research MCP :

  1. Obtain article content and generate summaries through natural language commands.
  2. Automatically create Obsidian notes and save summaries.

Command example :

"Cline, get the article content from http://example.com/blog-post, generate a 200-word summary, and create a note in Obsidian called 'Blog Post Summary'"

Website

https://github.com/mzxrai/mcp-webresearch

2.6 Redis

Introduction

The Redis MCP plugin simplifies interaction with the Redis database through natural language, helping developers manage cache and session data more efficiently.

feature

  • Support natural language cache management
  • Automatically handle session data storage
  • Integrates seamlessly with other MCP plugins

Usage Examples

Traditional method :

  1. Write Redis commands to store session data.
  2. Manually set the expiration time.
  3. Write code to query cache data.

Using Redis MCP :

  1. Store session data and set expiration time through natural language commands.
  2. Automatically query cached data and return results.

Command example :

"Store user session data under key 'user_123_session', set expiration time to 30 minutes, and retrieve data after 10 minutes"

Website

https://github.com/GongRzhe/REDIS-MCP-Server

2.7 Neon Database

Introduction

The Neon Database MCP plug-in provides developers with the ability to operate the PostgreSQL database using natural language, simplifying database management and query.

feature

  • Support natural language to create tables and query data
  • Provide database branch function
  • Real-time monitoring of resource usage

Usage Examples

Traditional method :

  1. Write SQL statements to create tables or query data.
  2. Manually manage database branches.
  3. Monitor database performance and tune configuration.

Using Neon Database MCP :

  1. Create tables or query data through natural language commands.
  2. Automatically create database branches and manage resources.

Command example :

"Create a table called customers with id, name and email columns, then display all records"

Website

https://github.com/neondatabase/mcp-server-neon

2.8 Fetch

Introduction

The Fetch MCP plug-in enables AI to obtain and process network data in real time, providing dynamic information support for developers.

feature

  • Support real-time data pulling (such as weather, news, market data)
  • Automatically clean HTML and generate snippets
  • Provide multi-source data analysis

Usage Examples

Traditional method :

  1. Copy the URL and open your browser to read the article.
  2. Manually summarize article content.
  3. Create a note and save it to Obsidian.

Using Fetch MCP :

  1. Obtain article content and generate summaries through natural language commands.
  2. Automatically create Obsidian notes and save summaries.

Command example :

"Cline, get the article content from http://example.com/blog-post, generate a 200-word summary, and create a note in Obsidian called 'Blog Post Summary'"

Website

https://github.com/zcaceres/fetch-mcp

Summarize

The popularity of MCP Server provides developers with powerful tool support, greatly improving R&D efficiency. Whether it is dealing with API call timing issues (Sleep), debugging code (Sentry), managing Git repositories (Git Tools), or coordinating tasks (Task Manager), these MCP Servers can simplify complex operations through natural language interaction. In addition, plug-ins such as Web Research, Redis, Neon Database, and Fetch further expand the capabilities of AI, enabling it to process real-time data, manage databases, and complete complex network research tasks.

If you are looking for tools to improve R&D efficiency, you might want to try these MCP Servers and let AI become your right-hand man!


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