Cursor, Windsurf and Cline: 8 Essential MCP Plugins

With the rapid development of Agent technology, 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 head AI code editors (e.g., Cursor, Windsurf, etc.) are starting to support the MCP. MCP protocols, furthering the popularity of smart bodies. While the Cline More so, the MCP Server marketplace was launched to provide developers with a rich selection of tools. So, among the many MCP Server, which are worth trying? In this article, we will recommend a few practical MCP Server, to help developers more efficiently complete the research and development tasks.

8 Useful MCP Servers

Sleep

summary

Sleep MCP is a plugin designed to deal with API call timing issues. It helps developers insert appropriate wait times between resource creation and querying to avoid failures due to data not being ready.

distinctiveness

• Simplify complex retry logic
• Avoid rate-limiting issues due to frequent queries
• Support for handling API calls that require time propagation

Examples of use

traditional approach::

1. Call the API to create a resource (such as a SendGrid contact).
2. Immediately attempt to query the resource data.
3. The query fails because the data is not ready and you need to manually write retry logic or wait code.

Using Sleep MCP::

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

Example of command::

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

web address

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

Sentry

summary

Sentry MCP is a plugin that focuses on bug tracking and debugging to help developers quickly locate and solve problems in their code through natural language.

distinctiveness

• Real-time error tracking and intelligent analysis
• Automatic generation of Jira work orders
• Provide performance bottleneck analysis

Examples of use

traditional approach::

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

Using Sentry MCP::

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

Example of command::

"List all new bugs in the mobile app project in the last 24 hours, create Jira work orders for each and notify the team on Slack"

web address

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

Git Tools

summary

The Git Tools MCP plug-in simplifies the version control process by turning complex Git operations into natural language commands.

distinctiveness

• Support for natural language commits, branch management and code searching
• Automatic generation of code discrepancy reports
• Seamless integration with other MCP plug-ins

Examples of use

traditional approach::

1. Open a terminal and enter the Git command to commit your code.
2. Manually switch branches and push code.
3. utilization git diff View code differences.

Using the Git Tools MCP::

1. Commits, branch switching and pushing are done through natural language commands.
2. Automatically generate code discrepancy reports and send them to Slack.

Example of command::

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

web address

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

Task Manager

summary

The Task Manager MCP plugin is an intelligent task management tool that helps developers coordinate complex tasks through natural language.

distinctiveness

• Automatically creates task queues and manages execution order
• Support real-time task status query
• Deep integration with other MCP plug-ins

Examples of use

traditional approach::

1. Write scripts manually or create tasks using a task management tool such as Trello.
2. Manually monitor task status and adjust priority.
3. Manual triggering of subsequent tasks (e.g. data conversion, uploading, etc.).

Using Task Manager MCP::

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

Example of command::

"Get data from CRM, convert to CSV format, upload to Google Drive, let me know when done"

web address

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

Web Research

summary

The Web Research MCP plugin transforms AI into a powerful research assistant that helps developers quickly access and summarize web information.

distinctiveness

• Supports Google search and web content extraction
• Automatic generation of article summaries
• Support for cross-session contextual memory

Examples of use

traditional approach::

1. Copy the URL and open your browser to read the article.
2. Manually summarize the content of the article.
3. Create notes and save them to Obsidian.

Using Web Research MCP::

1. Obtaining article content and generating summaries via natural language commands.
2. Automatically create Obsidian notes and save summaries.

Example of command::

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

web address

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

Redis

summary

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

distinctiveness

• Support for natural language cache management
• Automatic processing of session data storage
• Seamless integration with other MCP plug-ins

Examples of use

traditional approach::

1. Write Redis commands to store session data.
2. Set the expiration time manually.
3. Write code to query cached data.

Using Redis MCP::

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

Example of command::

"Store user session data under key 'user_123_session', set expiration time of 30 minutes, fetch data after 10 minutes"

web address

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

Neon Database

summary

The Neon Database MCP plug-in provides developers with the ability to manipulate PostgreSQL databases in natural language, simplifying database management and querying.

distinctiveness

• Support for natural language table creation and data querying
• Provides database branching functionality
• Real-time monitoring of resource utilization

Examples of use

traditional approach::

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

Using Neon Database MCP::

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

Example of command::

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

web address

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

Fetch

summary

The Fetch MCP plug-in enables AI to acquire and process network data in real-time, supporting developers with dynamic information.

distinctiveness

• Support for real-time data pulling (e.g. weather, news, market data)
• Automatically clean up HTML and generate summaries
• Provide multi-source data analysis

Examples of use

traditional approach::

1. Copy the URL and open your browser to read the article.
2. Manually summarize the content of the article.
3. Create notes and save them to Obsidian.

Using the Fetch MCP::

1. Obtaining article content and generating summaries via natural language commands.
2. Automatically create Obsidian notes and save summaries.

Example of command::

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

web address

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

summarize

The popularity of MCP Server has provided developers with powerful tools to greatly improve development efficiency. Whether it's handling the timing of API calls (Sleep), debugging code (Sentry), managing Git repositories (Git Tools), or coordinating tasks (Task Manager), these MCP Servers simplify complex operations through natural language interactions. In addition, plug-ins for Web Research, Redis, Neon Database, and Fetch further extend the AI's ability to process real-time data, manage databases, and accomplish complex web research tasks.

If you're looking for tools to boost your R&D performance, try these MCP Servers to make AI your right-hand man!