Opslevel
The OpsLevel MCP server is a tool based on the Model Context Protocol that allows AI to interact with the OpsLevel account through an API token and supports reading data from multiple resources.
rating : 2.5 points
downloads : 7.3K
What is the OpsLevel MCP server?
The OpsLevel MCP server is a bridge that connects AI tools with your OpsLevel account, helping you easily access and analyze data in OpsLevel.How to use the OpsLevel MCP server?
You can set up and start using the OpsLevel MCP server in just a few steps. It supports multiple AI tools such as Claude, VS Code, and Cursor.Use cases
The OpsLevel MCP server is very suitable for teams that need to integrate OpsLevel data into AI tools, such as DevOps, SRE, and developers.Main Features
Support for multiple resources
It can read resources such as Actions, Components, Documentation, Domains, Filters, Infrastructure, Repositories, Systems, Teams, and Users.
Cross-platform compatibility
It supports multiple AI tools and operating systems, facilitating use in different environments.
Advantages
Simplify the process of accessing OpsLevel data
Support seamless integration with multiple AI tools
Improve work efficiency
Limitations
Currently only supports read operations
Requires API Token configuration
How to Use
Install the OpsLevel MCP server
Install the OpsLevel MCP server via Homebrew, Docker, or manual download.
Configure the API Token
Set your OpsLevel API Token in the environment variables.
Configure AI tools
Configure accordingly based on the AI tools you use (such as Claude, VS Code, Cursor).
Usage Examples
List all components
Show how to use the OpsLevel MCP server to list all components.
Get detailed information of a specific system
Show how to use the OpsLevel MCP server to get detailed information of a specific system.
Frequently Asked Questions
Does the OpsLevel MCP server support write operations?
How to obtain an API Token?
Related Resources
Official documentation of OpsLevel MCP
Understand the MCP protocol and its applications.
OpsLevel GitHub repository
View source code and more examples.

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
39.0K
5 points

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
23.7K
4.5 points

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
27.2K
4.3 points

Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
81.2K
4.3 points

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#
37.2K
5 points

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
69.4K
4.5 points

Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
24.9K
4.5 points

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
55.1K
4.8 points





