OpsLevel
The Portal for AI-enabled software development. OpsLevel's internal developer portal empowers engineering teams to move faster while staying secure; connecting critical data, streamlining workflows, and driving change.
OpsLevel is a comprehensive internal developer portal designed to empower engineering teams. It functions as an MCP server, providing real-time context to AI assistants by unifying critical data from across your entire tech stack.
What it does: OpsLevel helps engineering organizations by:
- Visibility: Maintaining an automated record of truth, unifying your tech stack, and generating insights.
- Standards: Measuring and improving software health, facilitating cross-cutting initiatives, and providing actionable insights.
- Developer Autonomy: Enabling developers to spin up new services within guardrails and access APIs & tech docs in one place.
- AI Context: Specifically, its MCP Server capability provides real-time, unified data to AI assistants, enhancing their ability to understand and respond to queries related to your software ecosystem.
How to use: OpsLevel integrates with a wide array of third-party tools and platforms, including GitHub, Datadog, AWS, Slack, New Relic, Jira, Kubernetes, and many more. It automatically detects, discovers, and enriches your data to build a comprehensive Software Catalog, including ownership and documentation. You can define and enforce software standards with automated health checks and notifications, and provide self-service capabilities through templates and Actions. The MCP server leverages this unified data to serve AI-enabled applications.
Implementation: OpsLevel is a commercial SaaS platform. Users connect their existing tools and infrastructure to the OpsLevel platform, which then aggregates and manages the data. The MCP server functionality is part of this platform, providing a structured interface for AI assistants to query and receive real-time context from the integrated data sources.
Recommend MCP Servers 💡
@dynatrace-oss/dynatrace-mcp-server
The Dynatrace MCP Server enables interaction with the Dynatrace observability platform, providing real-time data for monitoring, contextual debugging, security insights, and AI-powered DQL generation and explanation.
mcp_ai_local_memory
An MCP server for managing local files as AI memory, supporting CRUD and search operations
m0xai/trello-mcp-server
An MCP server that enables interaction with Trello boards, lists, and cards via AI hosts.
langfuse
Model Context Protocol (MCP) Server for Langfuse Prompt Management. This server allows you to access and manage your Langfuse prompts through the Model Context Protocol.
figma-developer-mcp
Provide Figma layout information to AI coding agents via MCP.
slack-mcp-server
A powerful Model Context Protocol (MCP) server for Slack Workspaces, supporting Stdio and SSE transports, stealth/OAuth modes, DMs, Group DMs, smart history fetch, and message search.