AI Meta MCP Server
A dynamic MCP server that allows AI models to create and execute their own custom tools through a meta-function architecture. This server provides a mechanism for AI to extend its own capabilities by defining custom functions at runtime.
Features
- **Dynamic Tool Creation**: AI can define new tools with custom implementations
- **Multiple Runtime Environments**: Support for JavaScript, Python, and Shell execution
- **Sandboxed Security**: Tools run in isolated sandboxes for safety
- **Persistence**: Store and load custom tool definitions between sessions
- **Flexible Tool Registry**: Manage, list, update, and delete custom tools
- **Human Approval Flow**: Requires explicit human approval for tool creation and execution
Security Considerations
**WARNING**: This server allows for dynamic code execution. Use with caution and only in trusted environments.
- All code executes in sandboxed environments
- Human-in-the-loop approval required for tool creation and execution
- Tool execution privileges configurable through environment variables
- Audit logging for all operations
Installation
Usage
Running the server
Configuration
Environment variables:
- `ALLOW_JS_EXECUTION`: Enable JavaScript execution (default: true)
- `ALLOW_PYTHON_EXECUTION`: Enable Python execution (default: false)
- `ALLOW_SHELL_EXECUTION`: Enable Shell execution (default: false)
- `PERSIST_TOOLS`: Save tools between sessions (default: true)
- `TOOLS_DB_PATH`: Path to store tools database (default: "./tools.json")
Running with Claude Desktop
Add this to your `claude_desktop_config.json`:
Tool Creation Example
In Claude Desktop, you can create a new tool like this:
Claude will use the `define_function` meta-tool to create your new tool, which becomes available for immediate use.
Architecture
The server implements the Model Context Protocol (MCP) and provides a meta-tool architecture that enables AI-driven function registration and execution within safe boundaries.
License
MIT