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CloudStack

CloudStack MCP is a server implementation that enables AI assistants to interact with Apache CloudStack infrastructure through a standardized interface. Built in Go, it translates natural language requests into CloudStack API calls, allowing for VM deployment, resource management, and infrastructure operations without requiring direct API knowledge. The server supports both SSE and stdio communication modes, includes comprehensive logging, and provides dynamic tool generation based on the CloudStack API. This implementation is particularly useful for DevOps teams managing cloud infrastructure who want to leverage AI assistants for infrastructure management tasks.

Cognium trust score

50%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

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Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: devops-ci
Source: PulseMCP
Repository: github.com/walteh/cloudstack-mcp
Author type: human
Updated: 2026-04-25

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MCP

Resolve CloudStack 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

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"