Terminal
This MCP terminal server, developed by Nicholas Rinard, provides a secure interface for AI assistants to execute shell commands in a controlled environment. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers robust security features including command whitelisting, timeout controls, and output size limits. The implementation focuses on safe command execution, making it easier for AI models to interact with system-level operations without compromising security. It's particularly useful for scenarios requiring controlled access to terminal functionality, such as automated system management, development workflows, or providing AI assistants with limited shell access, while maintaining strict security boundaries and resource controls.
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
- security
- Source
- PulseMCP
- Repository
- github.com/rinardnick/mcp-terminal
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Terminal 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.