OpsNow MCP Asset Server
@taejulee
OpsNow MCP Asset Server について
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概要
What is OpsNow MCP Asset Server?
OpsNow MCP Asset Server is a server that provides OpsNow asset data to LLM vendor desktop applications (e.g., Claude) using the Model Context Protocol (MCP). It acts as a bridge between OpsNow resources and AI-powered desktop tools, enabling real-time asset information retrieval.
How to use OpsNow MCP Asset Server?
Clone the repository, install dependencies with npm install, and build the project with npm run build. Configure the .env file (a default file with mock data is included) to match your environment if needed. The server then communicates with OpsNow via the MCP protocol to serve asset data to compatible LLM desktop apps.
Key features of OpsNow MCP Asset Server
- Provides asset data via the MCP protocol
- Integrates with the OpsNow API Bridge
- Enables real-time asset information lookup
- Uses TypeScript and Node.js for reliable server operation
- Supports mock data for development and testing
Use cases of OpsNow MCP Asset Server
- Query OpsNow asset data directly from Claude or other MCP‑compatible LLM apps
- Build AI‑powered asset management and monitoring tools
- Develop and test integrations with OpsNow using local mock data
- Enable natural language access to cloud resource inventories
FAQ from OpsNow MCP Asset Server
What runtime does OpsNow MCP Asset Server require?
Node.js 18.x or higher and npm are required.
Does the server use real OpsNow asset data by default?
No, the included .env file configures the server to use mock data for development and testing. You can modify the .env to connect to a live OpsNow API Bridge.
How does the system architecture work?
The LLM desktop app communicates via MCP with the OpsNow MCP Asset Server, which uses the OpsNow MCP Provider to process data from OpsNow Resources (currently implemented as mock data for development purposes).
What dependencies does the project use?
Key dependencies include Node.js, TypeScript, the MCP SDK (@modelcontextprotocol/sdk), dotenv, zod, and node-fetch.
Is the server ready for production use?
The README states that the Resources layer is implemented as mock data for development and testing, so production readiness depends on configuring real OpsNow API access.
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