Waldur MCP Server Overview

The Waldur MCP server bridges AI assistants with the Waldur cloud management platform, enabling developers to automate and orchestrate infrastructure resources directly from conversational agents. By exposing Waldur’s REST API through the Model Context Protocol, Claude (or any MCP‑compatible client) can retrieve resource listings, create or modify services, and trigger workflows without leaving the chat interface. This solves a common pain point for teams that need to manage cloud resources programmatically while still leveraging natural language interfaces.

At its core, the server translates MCP requests into Waldur API calls. It authenticates using a bearer token and base URL supplied via environment variables, then maps each MCP tool to an endpoint such as “list‑resources”, “create‑project” or “delete‑instance”. The server handles request validation, error mapping, and response formatting so that the assistant can present results in a user‑friendly way. For developers, this means they can add powerful cloud automation capabilities to their AI workflows with minimal custom code—just publish the MCP server and register it in Claude Desktop.

Key capabilities include:

• Resource discovery – list projects, services, and instances across the Waldur instance.
• Provisioning & teardown – create new projects or delete existing resources on demand.
• State inspection – retrieve detailed status and metadata for any resource.
• Action orchestration – trigger Waldur actions such as scaling or updating configurations.

These features are exposed through a simple, declarative tool set that can be called from any MCP client. Because the server runs over stdio, it is lightweight and portable; developers can host it locally or in CI pipelines. The provided configuration snippets illustrate how to launch the server with or , making integration into existing Python workflows straightforward.

Real‑world use cases include:

• DevOps automation – a chatbot that spins up test environments or tears them down after QA runs.
• Self‑service portals – enabling end users to request new projects or resources via natural language.
• Incident response – quickly inspecting the state of services during outages directly from an assistant.

The Waldur MCP server stands out by offering a ready‑made bridge to a mature cloud management platform, eliminating the need for developers to write custom connectors. Its tight integration with Claude Desktop and compatibility with the MCP Inspector make debugging and iteration fast, allowing teams to iterate on AI‑driven cloud workflows with confidence.