Waldur
This Waldur MCP server, developed by OpenNode LLC, integrates the Model Context Protocol with the Waldur cloud management platform. Built with Python and leveraging the MCP SDK, it enables AI agents to interact with Waldur's API for cloud resource management and orchestration. The implementation focuses on providing a bridge between natural language commands and Waldur's functionality, allowing operations like provisioning, monitoring, and billing of cloud resources across multiple providers. It's particularly useful for organizations looking to enhance their cloud management workflows with AI capabilities, enabling use cases such as automated resource allocation, intelligent cost optimization, and AI-assisted cloud governance without directly dealing with the complexities of Waldur's API.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/waldur/waldur-mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Waldur from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.