Demo: The OpsLevel MCP

Unlock context-rich AI workflows with OpsLevel MCP

‍
Give your AI coding assistant the live service metadata, ownership details, runbooks, and API docs it needs, all without leaving your IDE. OpsLevel’s Model Context Protocol (MCP) server transforms any AI assistant into an Operational Assistant and Coding Assistant, supercharging developer productivity and incident response.

Why MCP matters for modern engineering teams

Developers lose 20–25% of their flow time context-switching between tools and documentation. MCP eliminates that drag by:

• Bringing service catalog data (API specs, dependencies, versioning) directly into your AI assistant
• Surface ownership & on-call rotations during incidents for rapid triage
• Auto-generate environment bootstraps (docker commands, config steps) via natural-language prompts
• Accelerating API integrations with live, accurate docs

By integrating OpsLevel’s comprehensive Internal Developer Portal (IDP) data, MCP ensures your AI assistant never answers from stale or incomplete information.

Key features and benefits

1. Incident response, simplified

• Instant Ownership Lookup: Ask “Who owns the payment-service?” and get on-call contact info.
• Runbook Summaries: “How do I restart the invoice-processor?” surfaces step-by-step guidance without digging through Confluence.

2. Seamless local setup

• Environment Bootstraps: “Show me how to spin up this service locally” returns exact CLI commands, environment variables, and repo links.
• Scripted Workflows: Fetch, create, and retrieve resources (e.g., Petstore endpoints) using conversational prompts.

3. In-IDE API integration

• Live API Docs: “How do I call the user-profile endpoint?” auto-injects usage examples into your code.
• Boilerplate Generation: Generate client code or service stubs tailored to your organization’s standards in seconds.

Real-world use cases

1. Operational Assistant
   • Surface metadata, health status, and runbooks for rapid troubleshooting
   • Automate campaign creation and bulk actions in OpsLevel
2. Coding Assistant
   • Provide service-specific best practices and dependency insights
   • Propose code changes or Scorecard fixes directly from your IDE

How it works

1. Deploy OpsLevel MCP
   • Install the MCP server alongside your OpsLevel catalog (Docker image or binary).
2. Connect Your AI Assistant
   • Configure your Copilot, Cursor, or Claude plugin to point at your MCP endpoint.
3. Query in Natural Language
   • Ask questions, run scripts, or perform actions—MCP handles data retrieval and formatting.

Behind the scenes, MCP fetches up-to-date records from your OpsLevel IDP, normalizes metadata, and returns JSON responses tailored for LLM consumption.

A holistic AI strategy

An MCP is only as good as the data behind it. OpsLevel’s AI Engine automates catalog completeness—identifying missing metadata and inconsistencies—so your MCP always delivers reliable, actionable context.

What’s next?

We’re continually expanding MCP capabilities based on customer feedback:

• Enhanced universal search across all OpsLevel entities
• Campaign orchestration support via AI prompts
• Deeper integrations with third-party tools (GitLab, Jira, Snyk)

Ready to transform your developer workflows? Read the announcement, explore the docs, and let us know if you're looking to bring more context into the developer workflow by booking a call with our team.

‍