OpsLevel MCP Server

What does “OpsLevel” MCP Server do?

OpsLevel MCP Server is a Model Context Protocol (MCP) server designed to connect AI assistants with OpsLevel’s service catalog and context-driven engineering data. By acting as a bridge between AI agents and OpsLevel resources, it allows developers and teams to enhance their workflows with real-time service data, metadata, and operational insights. The server can facilitate tasks such as querying the service catalog, retrieving metadata, and interacting with OpsLevel APIs, helping teams automate and standardize processes like service onboarding, compliance checks, and documentation searches. This integration enables AI-powered assistants to surface relevant information, automate repetitive tasks, and provide context-aware recommendations within development environments.

List of Prompts

No prompt templates are explicitly mentioned in the repository.

List of Resources

No explicit resource definitions are present in the accessible files or documentation.

List of Tools

No detailed list of tools available in server.py or other files in the repository structure.

Use Cases of this MCP Server

• Service Catalog Queries: Enable developers to fetch and explore OpsLevel’s service catalog data programmatically, making it easy to surface relevant services and their metadata to AI assistants.
• Automated Compliance Checks: Use AI to interact with OpsLevel data and automate compliance verification, ensuring services are following organizational best practices.
• Contextual Documentation Retrieval: Allow AI agents to retrieve up-to-date documentation or runbooks associated with services registered in OpsLevel.
• Operational Insights and Reporting: Enable automated reporting and insights generation by combining AI capabilities with OpsLevel’s operational data.
• API-driven Workflow Automation: Integrate with OpsLevel APIs to automate onboarding, updates, or alerts, reducing manual intervention and improving consistency.

How to set it up

Windsurf

1. Ensure you have Node.js installed.
2. Open your Windsurf configuration file.
3. Add the OpsLevel MCP Server using the following JSON snippet:

   {
     "mcpServers": {
       "opslevel-mcp": {
         "command": "npx",
         "args": ["@opslevel/mcp-server@latest"]
       }
     }
   }
   

4. Save the configuration and restart Windsurf.
5. Verify that the OpsLevel MCP Server is running and accessible.

Securing API Keys

Use environment variables in your config:

{
  "env": {
    "OPSLEVEL_API_KEY": "your_api_key"
  },
  "inputs": {
    "apiKey": "${OPSLEVEL_API_KEY}"
  }
}

Claude

1. Install Node.js if not already present.
2. Locate Claude’s MCP configuration file.
3. Add the OpsLevel MCP Server:

   {
     "mcpServers": {
       "opslevel-mcp": {
         "command": "npx",
         "args": ["@opslevel/mcp-server@latest"]
       }
     }
   }
   

4. Restart Claude after saving changes.
5. Confirm connectivity to the MCP server.

Securing API Keys

{
  "env": {
    "OPSLEVEL_API_KEY": "your_api_key"
  },
  "inputs": {
    "apiKey": "${OPSLEVEL_API_KEY}"
  }
}

Cursor

1. Prerequisite: Node.js installed.
2. Open the Cursor platform’s configuration settings.
3. Insert or update the MCP servers section:

   {
     "mcpServers": {
       "opslevel-mcp": {
         "command": "npx",
         "args": ["@opslevel/mcp-server@latest"]
       }
     }
   }
   

4. Save and restart the Cursor application.
5. Check logs to verify server startup.

Securing API Keys

{
  "env": {
    "OPSLEVEL_API_KEY": "your_api_key"
  },
  "inputs": {
    "apiKey": "${OPSLEVEL_API_KEY}"
  }
}

Cline

1. Ensure Node.js is available on your system.
2. Edit the Cline configuration file to include the MCP server:

   {
     "mcpServers": {
       "opslevel-mcp": {
         "command": "npx",
         "args": ["@opslevel/mcp-server@latest"]
       }
     }
   }
   

3. Save the file and restart Cline.
4. Validate the OpsLevel MCP Server connection.

Securing API Keys

{
  "env": {
    "OPSLEVEL_API_KEY": "your_api_key"
  },
  "inputs": {
    "apiKey": "${OPSLEVEL_API_KEY}"
  }
}

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "opslevel-mcp": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “opslevel-mcp” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

My overall rating for the OpsLevel MCP Server based on the available information is limited, as key details like prompts, resources, and tools are not documented in the repository. The project has a license, minimal stars/forks, and basic setup guidance but lacks depth in documentation and MCP features.

MCP Score