pulsemcp verified Safe content atomic mcp-remote

Shell

This shell command execution MCP server, developed using Python, provides AI assistants with a standardized interface to run shell commands on the host system. It leverages the MCP library and Pydantic for robust request/response handling and data validation. The server abstracts the complexities of subprocess management and output parsing, enabling AI systems to seamlessly integrate shell command capabilities into their workflows. It's particularly valuable for AI assistants that need to interact with the host system, facilitating use cases such as system diagnostics, file manipulation, network troubleshooting, and automation of local development tasks.

Cognium trust score

100%

Tier

Verified

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 2026-09-19.

Scan details: Circle-IR · 2026-09-19 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: productivity
Source: PulseMCP
Repository: github.com/odysseus0/mcp-server-shell
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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MCP

Resolve Shell 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"