Waldur MCP Server

Overview

The Waldur MCP server bridges a Waldur cloud‑management platform with Claude Desktop, enabling the AI assistant to treat Waldur as an integrated data source and tool set. By implementing the Model Context Protocol, the server translates Claude’s resource‑oriented queries into Waldur API calls, allowing developers to retrieve, create, and manipulate cloud resources directly from the AI interface. This eliminates the need for manual API calls or separate tooling, streamlining workflows that involve infrastructure provisioning, monitoring, and automation.

At its core, the server exposes a set of resources that map to common Waldur entities such as projects, services, and virtual machines. When Claude receives a prompt that references these resources—e.g., “Show me the running instances in project X”—the MCP server fetches the relevant data from Waldur, formats it into a JSON payload, and returns it to the assistant. Developers can then use this data in subsequent prompts or as input for other tools, creating a seamless loop between AI reasoning and cloud operations.

Key capabilities include:

• Secure authentication via API tokens, ensuring that only authorized users can access their Waldur accounts.
• Dynamic resource discovery: The server automatically lists available projects, services, and other entities, making it easy for Claude to present up‑to‑date options.
• Action execution: Beyond read operations, the server supports state‑changing commands such as launching or terminating instances, adjusting quotas, or updating service parameters.
• Extensibility: The MCP framework allows developers to add custom prompts or sampling strategies that tailor the assistant’s responses to specific business logic.

Typical use cases span from rapid infrastructure troubleshooting—“What is causing the latency spike in service Y?”—to automated deployment pipelines where Claude orchestrates resource creation based on user specifications. In environments that rely heavily on Waldur for multi‑tenant cloud management, the MCP server turns Claude into a conversational cockpit, reducing context switching and speeding up decision cycles.

By integrating directly with AI workflows, the Waldur MCP server offers a unique advantage: it keeps all data and actions within the same conversational context, eliminating the friction of switching between command‑line tools or web dashboards. This tight coupling not only improves productivity but also enhances consistency, as all operations are driven by a single source of truth—the AI assistant—while still respecting Waldur’s robust access controls and audit logging.