Terminal
This Terminal Server implementation enables AI assistants to execute shell commands within a designated workspace directory. Built with Python using the FastMCP framework, it provides a simple but powerful interface through a single tool that captures both standard output and error streams from command execution. The server is configured to run in Claude Desktop environments through the provided configuration file, making it ideal for users who need to perform file operations, run scripts, or interact with command-line tools directly from their AI assistant conversations without leaving the interface.
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
- file-system
- Source
- PulseMCP
- Repository
- github.com/theailanguage/terminal_server
- 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.