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securityA
license-
qualityProvides code manipulation, execution, and version control capabilities. It allows AI assistants to read, write, and execute code while maintaining a history of changes.
Last updated -
9
MIT License
Provides a runtime environment for executing custom tools written in JavaScript code, with appropriate sandboxing for security
Enables installation and execution of the MCP server through npm package management
Offers a runtime environment for executing custom tools implemented in Python, which can be enabled through configuration
Allows for executing shell commands as custom tools, with configuration options to enable or disable this capability for security reasons
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
npm install ai-meta-mcp-server
Usage
Running the server
npx ai-meta-mcp-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:
{
"mcpServers": {
"ai-meta-mcp": {
"command": "npx",
"args": ["-y", "ai-meta-mcp-server"],
"env": {
"ALLOW_JS_EXECUTION": "true",
"ALLOW_PYTHON_EXECUTION": "false",
"ALLOW_SHELL_EXECUTION": "false"
}
}
}
}
Tool Creation Example
In Claude Desktop, you can create a new tool like this:
Can you create a tool called "calculate_compound_interest" that computes compound interest given principal, rate, time, and compounding frequency?
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
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