Which integrations are available for this server?

Provides a runtime environment for executing custom tools written in [JavaScript](/mcp/servers/integrations/javascript) code, with appropriate sandboxing for security Enables installation and execution of the MCP server through [npm](/mcp/servers/integrations/npm) package management Offers a runtime environment for executing custom tools implemented in [Python](/mcp/servers/integrations/python), which can be enabled through configuration Allows for executing [shell](/mcp/servers/integrations/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

Related MCP server: ToolBox MCP Server

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.