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MCP Server

AI Meta MCP Server

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.

5
GitHub Stars
8/23/2025
Last Updated
MCP Server Configuration
1{
2 "name": "ai-meta-mcp",
3 "command": "npx",
4 "args": [
5 "-y",
6 "ai-meta-mcp-server"
7 ],
8 "env": {
9 "ALLOW_JS_EXECUTION": "true",
10 "ALLOW_PYTHON_EXECUTION": "false",
11 "ALLOW_SHELL_EXECUTION": "false"
12 }
13}
JSON13 lines

README Documentation

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

Running with Docker

# Build the Docker image
docker build -t ai-meta-mcp-server .

# Run the container
docker run --rm -i ai-meta-mcp-server

# Run with custom configuration and persistent storage
docker run --rm -i \
  -e ALLOW_PYTHON_EXECUTION=true \
  -e ALLOW_SHELL_EXECUTION=false \
  -v $(pwd)/data:/app/data \
  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

Quick Install

Quick Actions

Key Features

Model Context Protocol
Secure Communication
Real-time Updates
Open Source