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MCP Terminal Server

MCP Terminal Server

Local
github.com/RinardNickDeveloper Tools11Updated 92w ago

About MCP Terminal Server

MCP Terminal Server provides controlled terminal command execution for Claude and other LLMs. Command allowlists, timeouts, and output limits shape how commands run and reduce execution risks.

Key features

  1. 01Runs shell commands and captures output
  2. 02Restricts permitted commands
  3. 03Blocks shell operators and injection
  4. 04Sets timeouts and output limits
  5. 05Supports streaming output

Use cases

  1. 01Let LLMs run terminal commands under constraints
  2. 02Limit the scope of automated command execution
  3. 03Prevent lengthy runs or excessive output

MCP support

The MCP server exposes terminal command execution to clients and supports standard MCP messages, capability advertisement, and streaming output.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP Terminal Server

A secure terminal execution server implementing the Model Context Protocol (MCP). This server provides controlled command execution capabilities with security features and resource limits.

Features

  • Command Execution: Execute shell commands with output capture and error handling
  • Security Controls: Restrict allowed commands and prevent command injection
  • Resource Controls:
    • Command timeouts
    • Maximum output size limits
  • MCP Protocol Support:
    • Standard MCP message format
    • Capability advertisement
    • Streaming output support

Development

Local Setup
# Clone the repository
git clone https://github.com/RinardNick/mcp-terminal.git
cd mcp-terminal

# Create and activate virtual environment using uv
uv venv
source .venv/bin/activate  # or .venv\Scripts\activate on Windows

# Install development dependencies
uv pip install -e ".[dev]"
Publishing to PyPI
# Build the package
uv pip install build
python -m build

# Upload to PyPI
uv pip install twine
python -m twine upload dist/*
Testing with MCP Inspector

The MCP Inspector tool can be used to test the server implementation:

# Install inspector
npm install -g @modelcontextprotocol/inspector

# Test server
npx @modelcontextprotocol/inspector python3 src/mcp_terminal/server.py --allowed-commands "python,pip,git,ls,cd"
Running Tests
# Run all tests
pytest tests/

# Run specific test file
pytest tests/test_terminal.py

# Run with coverage
pytest --cov=mcp_terminal tests/

Using with Claude Desktop

Once the package is published to PyPI:

  1. Install UV (if not already installed):

    pip install uv
    
  2. Install the Package using UV:

    uv pip install mcp-terminal
    
  3. Configure Claude Desktop: Edit your Claude Desktop config file (typically at ~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

    {
      "mcpServers": {
        "terminal": {
          "command": "uv",
          "args": [
            "pip",
            "run",
            "mcp-terminal",
            "--allowed-commands",
            "python,pip,git,ls,cd",
            "--timeout-ms",
            "30000",
            "--max-output-size",
            "1048576"
          ]
        }
      }
    }
    

Protocol Implementation

The server implements the Model Context Protocol (MCP) with the following capabilities:

Capabilities Advertisement
{
  "protocol": "1.0.0",
  "name": "terminal",
  "version": "1.1.0",
  "capabilities": {
    "execute": {
      "description": "Execute a terminal command",
      "parameters": {
        "command": {
          "type": "string",
          "description": "The command to execute"
        }
      },
      "returns": {
        "type": "object",
        "properties": {
          "exitCode": { "type": "number" },
          "stdout": { "type": "string" },
          "stderr": { "type": "string" },
          "startTime": { "type": "string" },
          "endTime": { "type": "string" }
        }
      }
    }
  }
}
Message Format

Request:

{
  "type": "execute",
  "data": {
    "command": "echo 'hello world'"
  }
}

Response:

{
  "type": "result",
  "data": {
    "command": "echo 'hello world'",
    "exitCode": 0,
    "stdout": "hello world\n",
    "stderr": "",
    "startTime": "2024-01-20T12:34:56.789Z",
    "endTime": "2024-01-20T12:34:56.790Z"
  }
}

Error:

{
  "type": "error",
  "data": {
    "message": "command not allowed"
  }
}

Security Considerations

  1. Command Validation:

    • Only allowed commands can be executed
    • Shell operators are blocked
    • Command injection attempts are prevented
  2. Resource Protection:

    • Command timeouts prevent hanging
    • Output size limits prevent memory exhaustion
    • Error handling for all failure cases
  3. Best Practices:

    • Always set allowed-commands in production
    • Use conservative timeout and size limits
    • Monitor command execution logs

Contributing

  1. Fork the repository
  2. Create your feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

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