Synthetics MCP Server

Overview

The Synthetics MCP Server is a specialized monitoring solution designed to manage synthetic tests effectively. It leverages natural language prompts to create, retrieve, update, and delete synthetic tests, ensuring seamless integration with APIs like Splunk Synthetics.

Features

Prompt-Based Test Creation: Create synthetic tests using natural language prompts.
RESTful API: Provides endpoints for managing synthetic tests.
Customizable: Easily extendable for additional synthetic monitoring use cases.

Project Structure

synthetics-mcp-server
├── src
│   ├── server.ts                # Entry point of the MCP server
│   ├── controllers
│   │   └── syntheticsController.ts # Handles prompt-based and CRUD operations for synthetic tests
│   ├── routes
│   │   └── syntheticsRoutes.ts     # Defines API routes for synthetic monitoring
│   ├── services
│   │   └── syntheticsService.ts     # Contains business logic for managing synthetic tests
│   ├── models
│   │   └── syntheticModel.ts        # Defines the structure of a synthetic test
│   └── utils
│       └── index.ts                 # Utility functions for the application
├── config
│   ├── default.json                 # Default configuration settings
│   └── production.json              # Production-specific configuration settings
├── package.json                     # npm configuration file
├── tsconfig.json                    # TypeScript configuration file
└── README.md                        # Project documentation

Setup Instructions

Clone the repository:
git clone <repository-url> cd synthetics-mcp-server
Install dependencies:
npm install
Configure the application:
- Set the SPLUNK_API_TOKEN in the .env file for authentication.
- Update the config/default.json file with your desired settings.
Start the server:
npm start

API Endpoints

Prompt-Based Test Creation

Endpoint: POST /api/synthetics/prompt
Request Body:
{ "prompt": "Create a test for monitoring the homepage of https://google.com every 10 minutes." }

CRUD Operations

Create Synthetic Test: POST /api/synthetics/create
Retrieve Synthetic Test: GET /api/synthetics/:id
Update Synthetic Test: PUT /api/synthetics/:id
Delete Synthetic Test: DELETE /api/synthetics/:id

License

This project is licensed under the MIT License. See the LICENSE file for details.

This server cannot be installed

security - not tested

license - not found

quality - not tested

How are these scores calculated?

A specialized monitoring solution that enables users to create and manage synthetic tests through natural language prompts, providing seamless integration with APIs like Splunk Synthetics.

Related MCP Servers

Wegene Assistant MCP Server
xraywu
A
security
F
license
A
quality
Leverages large language models to analyze users' WeGene genetic testing reports, providing access to report data via custom URI schemes and enabling profile and report management through OAuth authentication and API utilization.
Last updated -
4
2
Python
splunk-mcp
livehybrid
-
security
A
license
-
quality
A FastMCP-based tool for interacting with Splunk Enterprise/Cloud through natural language. This tool provides a set of capabilities for searching Splunk data, managing KV stores, and accessing Splunk resources
Last updated -
52
Python
Apache 2.0
PHPocalypse-MCP
plapinski
-
security
A
license
-
quality
A Message Control Protocol server that runs PHP tests and static analysis tools automatically for developers, providing results directly to AI assistants in Cursor editor.
Last updated -
1
TypeScript
MIT License
Locust MCP Server
QAInsights
A
security
A
license
A
quality
A server that integrates Locust load testing capabilities with AI-powered development environments, allowing users to run performance tests through natural language commands.
Last updated -
1
1
Python
MIT License

View all related MCP servers

Synthetics MCP Server