opslevel/opslevel-mcp
by Various
Model Context Protocol (MCP) server for OpsLevel
MCP
opslevel/opslevel-mcp
Added 1 June 2026
Overview
A Go-based Model Context Protocol (MCP) server that exposes OpsLevel's API to AI assistants. It allows querying service catalog data, maturity scores, and ownership information through the MCP standard. Designed for teams that want to incorporate OpsLevel data into AI-powered workflows.
Best for
Best for
DevOps and platform engineering teams using OpsLevel who want AI-driven access to their service catalog.
Use cases
- Ask an AI assistant for service maturity scores
- Look up service ownership and dependencies via chat
- Integrate OpsLevel catalog data into AI agents
How to use
Tools exposed
opslevel-mcp
Tested with
Claude Desktop, VS Code, Cursor, Warp, Windsurf
Example client config
{\n "mcpServers": {\n "opslevel": {\n "command": "opslevel-mcp",\n "env": {\n "OPSLEVEL_API_TOKEN": "XXXXXXX"\n }\n }\n }\n} Notes
A Go-based Model Context Protocol (MCP) server that exposes OpsLevel’s API to AI assistants. It allows querying service catalog data, maturity scores, and ownership information through the MCP standard. Designed for teams that want to incorporate OpsLevel data into AI-powered workflows.
10 stars on GitHub. Last updated 2026-05-15. Licensed MIT.
Use cases
- Ask an AI assistant for service maturity scores
- Look up service ownership and dependencies via chat
- Integrate OpsLevel catalog data into AI agents
Pros
- Simple setup for existing OpsLevel users
- Lightweight Go implementation
- Enables natural language queries against service data
Cons
- Requires self-hosting the MCP server
- Limited to organizations already using OpsLevel
- Small community and few stars, so less battle-tested
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Simple setup for existing OpsLevel users
- Lightweight Go implementation
- Enables natural language queries against service data
Cons
- Requires self-hosting the MCP server
- Limited to organizations already using OpsLevel
- Small community and few stars, so less battle-tested
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