pulsemcp Safe content atomic mcp-remote

CloudForge

CloudForge provides MCP tools for cloud infrastructure management across three categories: Visualization (fetch diagrams as Mermaid, architecture summaries), Terraform (generate HCL from natural language, export from diagrams, import existing HCL), and AI Architect (advice, cost estimates, security reviews, resource suggestions). Also supports diagram management (list, create, update, delete) and organization management (members, invitations). Supports Azure, AWS, and GCP. Requires a CloudForge API key.

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: cloud-infra
Source: PulseMCP
Repository: github.com/cloudforgetech6-ctrl/mcp_server
Author type: human
Updated: 2026-04-25

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MCP

Resolve CloudForge 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"