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# MCP Dynamic Tools

**Drop Python files, get MCP tools instantly.**

A dynamic MCP server that automatically discovers Python files in a directory and exposes them as tools to any MCP-compatible AI client. Created through collaboration between Ben Wilson and Claude (Anthropic).

## How it works

```python
# 1. Write a Python file or have the LLM write one
def invoke(arguments):
    """Generate a secure password
    
    Parameters:
    - length: Length of password (default: 12)
    - include_symbols: Include special characters (default: true)
    """
    import random, string
    length = int(arguments.get('length', 12))
    chars = string.ascii_letters + string.digits
    if arguments.get('include_symbols', 'true').lower() == 'true':
        chars += "!@#$%^&*"
    return ''.join(random.choice(chars) for _ in range(length))
```

```bash
# 2. Save it to your tools directory
echo "# Above code" > tools/password_generator.py
```

```
# 3. AI can now use it immediately (after restart in Claude Desktop)
šŸ¤– "Generate a 16-character password with symbols"
šŸ”§ Tool: password_generator(length="16", include_symbols="true")
šŸ“¤ Result: "K9#mP2$vR8@nQ3!x"
```

## Quick Start

### 1. Clone and Setup
```bash
git clone https://github.com/your-username/mcp-dynamic-tools
cd mcp-dynamic-tools
```

### 2. Create Tools Directory
```bash
mkdir tools
```

### 3. Configure Your MCP Client

**Claude Desktop** (`~/.config/claude_desktop_config.json`):
```json
{
  "mcpServers": {
    "mcp-dynamic-tools": {
      "command": "python3",
      "args": [
        "/path/to/mcp-dynamic-tools/src/mcp_dynamic_tools/server.py",
        "--tools-dir",
        "/path/to/tools"
      ]
    }
  }
}
```

### 4. Create Your First Tool
```python
# tools/hello.py
def invoke(arguments):
    """Say hello to someone
    
    Parameters:
    - name: The person to greet
    """
    name = arguments.get('name', 'World')
    return f"Hello, {name}! šŸ‘‹"
```

### 5. Restart Your MCP Client
Your `hello` tool is now available to any AI using your MCP client!

## How It Works

1. **File Discovery**: Server monitors your tools directory
2. **Code Analysis**: Validates Python files have `invoke(arguments)` function  
3. **Schema Extraction**: Parses docstrings for parameter definitions
4. **MCP Integration**: Exposes tools via standard MCP protocol
5. **Error Handling**: Provides detailed feedback for debugging

## Writing Tools

### Function Signature
Every tool must have this exact signature:
```python
def invoke(arguments):
    # Your tool logic here
    return result
```

### Documentation Format
```python
def invoke(arguments):
    """Brief description of what the tool does
    
    Parameters:
    - param_name: Description of the parameter
    - another_param: Description with (default: value)
    """
```

### Example Tools

**Text Processor**:
```python
def invoke(arguments):
    """Transform text in various ways
    
    Parameters:
    - text: The text to transform
    - operation: Type of transformation (uppercase, lowercase, reverse)
    """
    text = arguments.get('text', '')
    operation = arguments.get('operation', 'uppercase')
    
    if operation == 'uppercase':
        return text.upper()
    elif operation == 'lowercase':
        return text.lower()
    elif operation == 'reverse':
        return text[::-1]
    else:
        return f"Unknown operation: {operation}"
```

**API Caller**:
```python
def invoke(arguments):
    """Fetch data from a REST API
    
    Parameters:
    - url: The API endpoint to call
    - method: HTTP method (default: GET)
    """
    import urllib.request
    import json
    
    url = arguments.get('url')
    method = arguments.get('method', 'GET')
    
    if not url:
        return "Error: URL is required"
    
    try:
        with urllib.request.urlopen(url) as response:
            return json.loads(response.read())
    except Exception as e:
        return f"Error: {str(e)}"
```

## Robust Error Handling

The server provides detailed error messages to help you debug:

- **Syntax Errors**: Shows line numbers and specific issues
- **Import Errors**: Reports missing dependencies  
- **Function Signature**: Validates `invoke(arguments)` signature
- **Runtime Errors**: Captures and reports execution problems

## Known Limitations

### Claude Desktop 0.9.2
Claude Desktop currently doesn't support dynamic tool discovery ([see discussion](https://github.com/orgs/modelcontextprotocol/discussions/76)). This means:

- āœ… **Tools work perfectly** once discovered
- āŒ **Restart required** when adding new tools
- šŸ”„ **Future support planned** - our server is ready with `listChanged: true`

**Workaround**: Restart Claude Desktop after adding new tools.

### Tool Naming in Claude Desktop
Tools appear with server prefix: `local__mcp-dynamic-tools__your_tool_name`

## Contributing

This project was created through human-AI collaboration. We welcome contributions!

1. Fork the repository
2. Create your feature branch
3. Add tests for new functionality  
4. Submit a pull request

## License

MIT License - see LICENSE file for details.

## Acknowledgments

- **Ben Vierck** - Architecture and development
- **Claude (Anthropic)** - Co-development and testing
- **MCP Community** - Protocol development and feedback


TDQS

B3.2/5.0

Scored across 1 tool

Disambiguation5/5

With only one tool, there is no possibility of confusion. The tool's purpose is clearly distinct and singular.

Naming Consistency5/5

Naming is perfectly consistent as there is only one tool. The verb_noun pattern 'write_tool' is clear and follows a logical structure.

Tool Count3/5

The single tool is appropriate for the core functionality of creating a dynamic tool, but the server's purpose suggests a need for additional management tools (e.g., list, delete), making the count feel slightly thin.

Completeness2/5

The tool set covers creation only, lacking any lifecycle operations like listing, updating, or deleting dynamic tools. This leaves significant gaps for agents needing to manage tools beyond creation.

Maintenance

ActivityInactive
ResponsivenessNo issues