[](https://archestra.ai/mcp-catalog/opslevel__opslevel-mcp)

OpsLevel MCP Endpoint

This MCP (Model Context Protocol) facility furnishes AI entities with operational instruments to interface directly with your organization's OpsLevel environment.

Key Capabilities

Presently, this MCP endpoint exclusively employs read-only permissions against your OpsLevel tenancy, allowing retrieval of data pertaining to the subsequent structural elements:

• Workflow Triggers (Actions)
• Service Level Objectives (Campaigns)
• Quality Gates (Checks)
• Service Definitions (Components)
• Informational Artifacts (Documentation, encompassing API and Technical Documents)
• Service Groupings (Domains)
• Query Definitions (Filters)
• Infrastructure Inventories
• Code Repositories
• Interconnected Systems (Systems)
• Organizational Units (Teams)
• Personnel Records (Users)

Deployment Guide

1. Install the MCP Server Binary
2. Using Homebrew - Execute: brew install opslevel/tap/opslevel-mcp
3. Via Docker Container - Pull the image: docker pull public.ecr.aws/opslevel/mcp:latest
   Alternatively, leverage a specific version; consult the registry gallery for available tags
4. Manual Acquisition - Obtain the executable for your target operating system from our GitHub releases repository.
5. Authorization Prerequisite: Secure an OpsLevel API Access Credential and configure it via an environment variable to permit authenticated communication with the MCP Server.
6. Configure the MCP integration settings within your chosen AI client application.

Integration with Claude

For use with Claude Desktop

1. Modify the configuration file located at the path specified by the Claude Desktop documentation:
2. macOS Users - Path: ${HOME}/Library/Application\ Support/Claude/claude_desktop_config.json
3. Windows Users - Path: %APPDATA%\Claude\claude_desktop_config.json
4. Initiate (or refresh the session of) the Claude Desktop application.

{
    "mcpServers": {
        "opslevel": {
            "command": "opslevel-mcp",
            "env": {
                "OPSLEVEL_API_TOKEN": "XXXXXXX"
            }
        }
    }
}

Integration with VS Code

Reference: VS Code User Settings Documentation

1. Navigate to the Settings interface (keyboard shortcut: Command + Comma) and select the scope appropriate for your needs:
2. Workspace Level: Scopes the server configuration to the current project directory.
3. User Level: Scopes the server configuration globally for the user profile.
4. Navigate to the Features → Chat settings section.
5. Verify that the "Mcp" feature is switched to the Enabled state.
6. Note: Access to this may require your GitHub organization administrator to enable "preview" features within Copilot settings.
7. Select "Edit in settings.json" under the "Mcp > Discovery" setting block to insert the following block, or edit the file directly:
   1. File Location (Mac OS Example): ${HOME}/Library/Application\ Support/Code/User/settings.json

{
    "chat.agent.enabled": true,
    "chat.mcp.discovery.enabled": true,
    "mcp": {
        "inputs": [
          {
            "type": "promptString",
            "id": "opslevel_token",
            "description": "OpsLevel API Token",
            "password": true
          }
        ],
        "servers": {
            "opslevel": {
                "type": "stdio",
                "command": "opslevel-mcp",
                "env": {
                    "OPSLEVEL_API_TOKEN": "${input:opslevel_token}"
                }
            }
        }
    }
}

Integration with Cursor

Documentation: Cursor Context Settings

1. Access the Cursor application menu, proceed to Settings → Cursor Settings, and choose the MCP configuration area.
2. Initiate the process to add a new global MCP entry.
3. Input the subsequent configuration structure:

{
  "mcpServers": {
    "opslevel": {
      "command": "opslevel-mcp",  
      "env": {
        "OPSLEVEL_API_TOKEN": "XXXXXX"
      }
    }
  }
}

Integration with Warp Terminal

Reference: Warp Documentation

1. Access the MCP configuration panel via Settings > AI > Manage MCP Servers. Warp offers alternative navigation methods.
2. Utilize the 'Add' button to introduce a new server entry.
3. Integrate the following configuration block:

{
  "opslevel": {
    "command": "opslevel-mcp",
    "args": [],
    "env": {
      "OPSLEVEL_API_TOKEN": "XXXXXX"
    },
    "start_on_launch": true
  }
}

Integration with Windsurf

Reference: Windsurf Application

1. In the Windsurf interface, navigate to Settings > Advanced Settings.
2. Scroll to the Cascade section where the option to define a new server resides.
3. Update the configuration file, specifically [mpc_config.json](https://docs.windsurf.com/windsurf/mcp#mcp-config-json), using the structure provided below.
4. Relaunch the Windsurf client to apply changes.

{
  "mcpServers": {
    "opslevel": {
      "command": "opslevel-mcp",  
      "env": {
        "OPSLEVEL_API_TOKEN": "XXXXXX"
      }
    }
  }
}

Docker Image Deployment Caveat

Should you opt to utilize the pulled Docker image instead of a directly installed binary, the preceding configuration snippets require modification to invoke the container runtime:

        "command": "docker",
        "args": [
          "run",
          "-i",
          "--rm",
          "-e",
          "OPSLEVEL_API_TOKEN",
          "public.ecr.aws/opslevel/mcp:latest"
        ],

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