MCP server
by odysseus0
Enable secure shell access to your host system for diagnostics, file management, and automation with our SSH secure shel
Provides secure execution of shell commands on host systems, allowing LLMs to run commands and receive their output with return codes.
Shell is a community-built MCP server published by odysseus0 that provides AI assistants with tools and capabilities via the Model Context Protocol. Enable secure shell access to your host system for diagnostics, file management, and automation with our SSH secure shel It is categorized under developer tools.
You can install Shell in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
MIT
Shell is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Share your MCP server with the developer community
Shell has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Shell is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
Shell has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
According to our notes, Shell benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired Shell into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
I recommend Shell for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated Shell against two servers with overlapping tools; this profile had the clearer scope statement.
We evaluated Shell against two servers with overlapping tools; this profile had the clearer scope statement.
According to our notes, Shell benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
We wired Shell into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
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A Model Context Protocol server that provides shell command execution capabilities. This server enables LLMs to execute shell commands and receive their output in a controlled manner.
execute_command - Execute a shell command and return its output
command (string): Shell command to executecommand: The executed commandoutput: Combined stdout and stderr outputreturn_code: Command execution return codeWhen using uv no specific installation is needed. We will
use uvx to directly run mcp-server-shell.
Alternatively you can install mcp-server-shell via pip:
pip install mcp-server-shell
After installation, you can run it as a script using:
python -m mcp_server_shell
Add to your Claude settings:
<details> <summary>Using uvx</summary>"mcpServers": {
"shell": {
"command": "uvx",
"args": ["mcp-server-shell"]
}
}
"mcpServers": {
"shell": {
"command": "python",
"args": ["-m", "mcp_server_shell"]
}
}
Add to your Zed settings.json:
<details> <summary>Using uvx</summary>"context_servers": {
"mcp-server-shell": {
"command": "uvx",
"args": ["mcp-server-shell"]
}
},
"context_servers": {
"mcp-server-shell": {
"command": "python",
"args": ["-m", "mcp_server_shell"]
}
},
Execute a shell command:
{
"name": "execute_command",
"arguments": {
"command": "ls -la"
}
}
Response:
{
"command": "ls -la",
"output": "total 24
drwxr-xr-x 5 user group 160 Jan 1 12:00 .
drwxr-xr-x 3 user group 96 Jan 1 12:00 ..",
"return_code": 0
}
You can use the MCP inspector to debug the server. For uvx installations:
npx @modelcontextprotocol/inspector uvx mcp-server-shell
Or if you've installed the package in a specific directory or are developing on it:
cd path/to/servers/src/shell
npx @modelcontextprotocol/inspector uv run mcp-server-shell
⚠️ Warning: This server executes shell commands directly on your system. Use with caution and implement appropriate security measures to prevent unauthorized or dangerous command execution.
We encourage contributions to help expand and improve mcp-server-shell. Whether you want to add new features, enhance security, or improve documentation, your input is valuable.
For examples of other MCP servers and implementation patterns, see: https://github.com/modelcontextprotocol/servers
Pull requests are welcome! Feel free to contribute new ideas, bug fixes, or enhancements to make mcp-server-shell even more powerful and useful.
mcp-server-shell is licensed under the MIT License. This means you are free to use, modify, and distribute the software, subject to the terms and conditions of the MIT License. For more details, please see the LICENSE file in the project repository.
Prerequisites
Time Estimate
15-60 minutes depending on server complexity
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
Compatibility
✓ Use when
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid when
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.