AI Meta MCP Server

by alxspiker
Verified

local-only server

The server can only run on the client’s local machine because it depends on local resources.

Integrations

  • 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

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

-
security - not tested
F
license - not found
-
quality - not tested

Enables AI models to dynamically create and execute their own custom tools through a meta-function architecture, supporting JavaScript, Python, and Shell runtimes with sandboxed security and human approval flows.

  1. Features
    1. Security Considerations
      1. Installation
        1. Usage
          1. Running the server
          2. Configuration
          3. Running with Claude Desktop
        2. Tool Creation Example
          1. Architecture
            1. License