Q

Qainsights Locust MCP Server

The Locust-MCP-Server is a load testing server based on the Model Context Protocol framework, supporting seamless running of Locust performance tests through an AI development environment, providing configurable test parameters and real-time execution output.
2 points
10

What is the Locust-MCP Server?

The Locust-MCP Server is a tool based on the Model Context Protocol (MCP) for running Locust load tests. It allows developers to easily simulate a large number of users accessing the target server to evaluate its performance and stability.

How to use the Locust-MCP Server?

Through simple configuration and commands, you can quickly start a load test. Just write a test script and specify the relevant parameters to start the test.

Use Cases

Suitable for development teams that need to perform stress testing, performance optimization, or capacity planning on web applications.

Main Features

Simple IntegrationSeamlessly integrate into the MCP framework for easy collaboration with other AI tools.
Multiple Mode SupportSupport headless mode and UI mode to meet different needs.
Highly ConfigurableAllow customizing the number of users, spawn rate, and runtime.
Real-time FeedbackProvide real-time test execution output for easy progress monitoring.

Advantages and Limitations

Advantages
Easy to install and configure
Support mainstream protocols (HTTP/HTTPS)
Flexible task scenario customization
Limitations
Requires a certain foundation in Python
Depends on an external environment (such as the uv package manager)

How to Use

Install the Locust-MCP Server
Clone the repository and install the dependencies.
Write a Test Script
Create a Locust test script containing tasks.
Start the MCP Server
Use a configuration file to specify test parameters.

Usage Examples

Example 1: Basic Load TestRun a simple Locust test script.
Example 2: Advanced ConfigurationSet specific numbers of users and duration.

Frequently Asked Questions

How to install the Locust-MCP Server?
Does it support the HTTPS protocol?
Can I run tests on multiple machines?

Related Resources

Official Documentation
Detailed usage instructions and technical references.
Locust Official Website
The official website of the Locust load testing tool.
uv Package Manager
A tool for installing and managing Python packages.
Installation
Copy the following command to your Client for configuration
{
  "mcpServers": {
    "locust": {
      "command": "/Users/naveenkumar/.local/bin/uv",
      "args": [
        "--directory",
        "/Users/naveenkumar/Gits/locust-mcp-server",
        "run",
        "locust_server.py"
      ]
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.
S
Search1api
The Search1API MCP Server is a server based on the Model Context Protocol (MCP), providing search and crawling functions, and supporting multiple search services and tools.
TypeScript
343
4 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points
M
MCP Alchemy
Certified
MCP Alchemy is a tool that connects Claude Desktop to multiple databases, supporting SQL queries, database structure analysis, and data report generation.
Python
324
4.2 points
P
Postgresql MCP
A PostgreSQL database MCP service based on the FastMCP library, providing CRUD operations, schema inspection, and custom SQL query functions for specified tables.
Python
112
4 points
M
MCP Scan
MCP-Scan is a security scanning tool for MCP servers, used to detect common security vulnerabilities such as prompt injection, tool poisoning, and cross-domain escalation.
Python
616
5 points
A
Agentic Radar
Agentic Radar is a security scanning tool for analyzing and assessing agentic systems, helping developers, researchers, and security experts understand the workflows of agentic systems and identify potential vulnerabilities.
Python
556
5 points
C
Cloudflare
Changesets is a build tool for managing versions and releases in multi - package or single - package repositories.
TypeScript
1.5K
5 points
E
Edgeone Pages MCP Server
EdgeOne Pages MCP is a service that quickly deploys HTML content to EdgeOne Pages via the MCP protocol and obtains a public URL
TypeScript
253
4.8 points
Featured MCP Services
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
141
4.5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
86
4.3 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
1.7K
5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
830
4.3 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
6.7K
4.5 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
567
5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
754
4.8 points
C
Context7
Context7 MCP is a service that provides real-time, version-specific documentation and code examples for AI programming assistants. It is directly integrated into prompts through the Model Context Protocol to solve the problem of LLMs using outdated information.
TypeScript
5.2K
4.7 points
AIbase
Zhiqi Future, Your AI Solution Think Tank
© 2025AIbase