OpsLevel MCP Server

Overview

The OpsLevel MCP Server bridges AI assistants with an OpsLevel account, enabling intelligent tooling around service ownership, health checks, and infrastructure visibility. By exposing a read‑only API surface over OpsLevel’s data model, the server gives Claude or other MCP‑compatible assistants the ability to query real‑world operational information without compromising security. This solves a common pain point for developers: the need to manually surface up‑to‑date service metadata inside conversational agents while keeping sensitive configuration out of the assistant’s context.

What It Does

At its core, the server implements a set of resource endpoints that mirror OpsLevel’s domain entities—such as components, repositories, systems, and users. When an AI assistant issues a query, the MCP server translates it into a lightweight API call to OpsLevel, retrieves the requested data, and returns it in a structured format that the assistant can embed directly into its responses. Because the server only reads data, it eliminates the risk of accidental writes or accidental exposure of secrets, making it safe to run in shared environments.

Key Features

• Read‑only access: Guarantees that the assistant can only fetch information, never alter it.
• Comprehensive resource coverage: Includes actions, campaigns, checks, documentation, domains, infrastructure, and more—providing a full view of an organization’s service landscape.
• Easy integration: Works out‑of‑the‑box with popular AI platforms such as Claude Desktop and VS Code Copilot, requiring only a configuration tweak.
• Secure token handling: Uses an environment variable for the OpsLevel API token, keeping credentials out of code and configuration files.

Real‑World Use Cases

• Incident triage: A developer asks, “Which services are failing right now?” and the assistant pulls the latest check results from OpsLevel, summarizing them in context.
• Ownership discovery: When onboarding a new team member, the assistant can list all systems and components they own by querying OpsLevel’s teams resource.
• Documentation lookup: The assistant can fetch the relevant API or technical documentation for a component, allowing developers to reference it without leaving their IDE.

Integration into AI Workflows

Once the MCP server is registered in an assistant’s configuration, every conversational turn can be enriched with live OpsLevel data. The assistant interprets natural language intents (e.g., “Show me the health status of component X”) and automatically invokes the corresponding MCP tool. The resulting data is then rendered as part of the answer, enabling developers to get accurate, up‑to‑date information without manual copy‑paste or API calls.

Unique Advantages

Unlike generic knowledge‑base integrations, OpsLevel MCP is tightly coupled to the operational model of modern software organizations. It offers a single source of truth for service ownership, health checks, and infrastructure metadata—critical for building trustworthy AI that assists with production support. Its read‑only design and minimal configuration make it a low‑risk, high‑value addition to any developer’s toolchain.