pulsemcp Safe content atomic mcp-remote

AWS CLI

AWS MCP Server provides a lightweight bridge between AI assistants and the AWS CLI, enabling execution of AWS commands through a standardized interface. Built by alexei-led, it features two main tools: describe_command for retrieving AWS CLI documentation and execute_command for running AWS CLI operations with Unix pipe support. The server leverages existing AWS credentials on the host machine, includes pre-defined prompt templates for common AWS tasks following best practices, and supports multi-architecture deployment via Docker. This implementation is particularly valuable for cloud management workflows where users need to interact with AWS resources without leaving their AI assistant conversation.

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/alexei-led/cloud-mcp-server
Author type: human
Updated: 2026-07-30

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MCP

Resolve AWS CLI 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"