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ai-meta-mcp-server

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A dynamic MCP server that allows AI to create and execute custom tools through a meta-function architecture

5 stars JavaScriptAI & Machine Learning Updated Jul 31, 2025

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

bash
npm install ai-meta-mcp-server

Usage

Running the server

bash
npx ai-meta-mcp-server

Running with Docker

bash
# 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`:

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:

code
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

Frequently asked questions

What is ai-meta-mcp-server?

ai-meta-mcp-server is A dynamic MCP server that allows AI to create and execute custom tools through a meta-function architecture

How do I install ai-meta-mcp-server?

Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.

Is ai-meta-mcp-server open source?

Yes — it is hosted on GitHub at https://github.com/alxspiker/ai-meta-mcp-server and has 5 stars.

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