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MCP verified MIT Self-run

Opslevel Mcp

mcp-opslevel-opslevel-mcp · by OpsLevel

Model Context Protocol (MCP) server for OpsLevel

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Install

$ agentstack add mcp-opslevel-opslevel-mcp

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

Verified badge

Passed review? Show it. Paste this badge into your README, it links to the public security report.

AgentStack Verified badge Links to your public security report.
[![AgentStack Verified](https://agentstack.voostack.com/badges/verified.svg)](https://agentstack.voostack.com/security/report/mcp-opslevel-opslevel-mcp)

Reliability & compatibility

Security review passed
0 installs to date
no reviews yet
4mo ago

Declared compatibility

Claude CodeClaude DesktopCursorWindsurf

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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How agent discovery & health will work →
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About

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

OpsLevel MCP Server

This MCP (Model Context Protocol) server provides AIs with tools to interact with your OpsLevel account.

Features

Currently, the MCP server only uses read-only access to your OpsLevel account and can read data from the following resources:

  • Actions
  • Campaigns
  • Checks
  • Components
  • Component Dependencies (components that a component depends on)
  • Component Dependents (components that depend on a component)
  • Documentation (API & Tech Docs)
  • Domains
  • Filters
  • Infrastructure
  • Repositories
  • Systems
  • Teams
  • Users

Setup

  1. Install the MCP Server
  2. Homebrew - brew install opslevel/tap/opslevel-mcp
  3. Docker - docker pull public.ecr.aws/opslevel/mcp:latest

You can also used a pinned version check out the gallery for the available tags

  1. Manual - Visit our GitHub releases page and download the binary for your operating system.
  2. You will need an API Token to authorize the MCP Server to talk to your account via an environment variable.
  3. Setup MCP configuration for the AI tool of your choice.

Claude

Claude Desktop

  1. Edit the file at the specified path based on the Claude Desktop docs
  2. Mac OS - ${HOME}/Library/Application\ Support/Claude/claude_desktop_config.json
  3. Windows - %APPDATA%\Claude\claude_desktop_config.json
  4. Start (or restart) Claude Desktop
{
    "mcpServers": {
        "opslevel": {
            "command": "opslevel-mcp",
            "env": {
                "OPSLEVEL_API_TOKEN": "XXXXXXX"
            }
        }
    }
}

VS Code

VS Code User Settings

  1. Open the Settings menu (Command + Comma) and select the correct tab atop the page for your use case
  2. Workspace - configures the server in the context of your workspace
  3. User - configures the server in the context of your user
  4. Select Features → Chat
  5. Ensure that "Mcp" is Enabled
  6. You may need to have your Github administrator enable "preview" features in the CoPilot settings for the organization.
  7. Click "Edit in settings.json" under "Mcp > Discovery" to have the below config
  8. Can also edit the file directly
  9. (Mac OS) ${HOME}/Library/Application\\ Support/Code/User/settings.json
  10. Start (or restart) VS Code
{
    "chat.agent.enabled": true,
    "chat.mcp.discovery.enabled": true,
    "mcp": {
        "inputs": [
          {
            "type": "promptString",
            "id": "opslevel_token",
            "description": "OpsLevel API Token",
            "password": true
          }
        ],
        "servers": {
            "opslevel": {
                "type": "stdio",
                "command": "opslevel-mcp",
                "env": {
                    "OPSLEVEL_API_TOKEN": "${input:opslevel_token}"
                }
            }
        }
    }
}

Cursor

Cursor Docs

[](cursor://anysphere.cursor-deeplink/mcp/install?name=opslevel&config=eyJjb21tYW5kIjoib3BzbGV2ZWwtbWNwIiwiZW52Ijp7Ik9QU0xFVkVMX0FQSV9UT0tFTiI6IlhYWFhYWCJ9fQ==)

  1. Open the Cursor menu and select Settings → Cursor Settings → MCP
  2. Click "Add new global MCP server"
  3. Add the config below
{
  "mcpServers": {
    "opslevel": {
      "command": "opslevel-mcp",  
      "env": {
        "OPSLEVEL_API_TOKEN": "XXXXXX"
      }
    }
  }
}

Warp

Warp

  1. Access your MCP settings under Settings > AI > Manage MCP Servers. Warp provides instructions for other ways to access this list.
  2. Press the add button
  3. Add the config below
{
  "opslevel": {
    "command": "opslevel-mcp",
    "args": [],
    "env": {
      "OPSLEVEL_API_TOKEN": "XXXXXX"
    },
    "start_on_launch": true
  }
}

Windsurf

Windsurf

  1. Navigate to Windsurf - Settings > Advanced Settings
  2. Scroll down to the Cascade section and you will find the option to add a new server
  3. Edit the mpcconfig.json with the below configuration
  4. Restart Windsurf
{
  "mcpServers": {
    "opslevel": {
      "command": "opslevel-mcp",  
      "env": {
        "OPSLEVEL_API_TOKEN": "XXXXXX"
      }
    }
  }
}

Docker

If you didn't install the binary directly and instead pulled the docker image you'll need to adjust the above MCP configurations to support running the server via docker

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

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.