Skip to main content
Glama
alxspiker

AI Meta MCP Server

by alxspiker

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: Code Executor 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

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

Install Server
A
license - permissive license
A
quality
F
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

Unclaimed servers have limited discoverability.

Looking for Admin?

If you are the server author, to access and configure the admin panel.

Related MCP Servers

View all related MCP servers

Related MCP Connectors

  • Runtime permission, approval, and audit layer for AI agent tool execution.

  • Build, validate, and deploy multi-agent AI solutions from any AI environment.

  • See, price, and control every tool call your AI agents make: policy checks, cost, and audit tools.

View all MCP Connectors

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/alxspiker/ai-meta-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server