Lansweeper MCP Server

Lansweeper MCP Server (Experimental)

The Lansweeper MCP Server bridges an AI assistant’s conversational workflow with the rich inventory and asset data maintained by Lansweeper. By exposing a set of lightweight, well‑defined tools over the Model Context Protocol, it allows an assistant to retrieve precise asset details, enumerate authorized sites, and list all assets within a site—all without leaving the chat or IDE. This capability is especially valuable for IT operations teams, security analysts, and automation engineers who rely on real‑time asset information to answer questions, generate reports, or trigger remediation actions.

At its core, the server translates MCP calls into authenticated requests against the Lansweeper Data API. It requires only a personal access token, which is passed as an environment variable during startup. Once running, the assistant can invoke three primary tools:

• – returns comprehensive metadata for a single asset, such as hostname, operating system, installed software, and network interfaces.
• – lists all sites that the authenticated user has permission to view, providing context for site‑level queries.
• – retrieves a paginated collection of assets belonging to a specified site, enabling bulk analysis or inventory generation.

These tools are designed to be idempotent and stateless, making them ideal for integration into both synchronous chat responses and asynchronous workflow pipelines. For example, a user could ask the assistant to “Show me all servers in Site 42 that run Windows 10,” and the assistant would call filtered by OS, then format the results into a table or CSV.

The server’s architecture follows standard MCP patterns: it exposes resources, tools, and prompts via a single executable that can be launched through common development environments such as Cursor, VS Code, Claude Desktop, or directly with . This flexibility ensures that developers can adopt the server in their existing toolchains without additional configuration overhead. Moreover, because the MCP protocol is language‑agnostic, any AI model that understands MCP can leverage these capabilities, opening the door to cross‑platform automation and data enrichment.

In practice, the Lansweeper MCP Server is most useful in scenarios where up‑to‑date asset data must be queried on demand—such as during incident response, compliance audits, or capacity planning. By embedding the server in an AI assistant’s workflow, teams can reduce context switching, accelerate decision‑making, and maintain a single source of truth for their infrastructure inventory.