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    Ai Meta Mcp Server

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

    5 stars
    JavaScript
    Updated Jul 31, 2025

    Table of Contents

    • Features
    • Security Considerations
    • Installation
    • Usage
    • Running the server
    • Running with Docker
    • Configuration
    • Running with Claude Desktop
    • Tool Creation Example
    • Architecture
    • License

    Table of Contents

    • Features
    • Security Considerations
    • Installation
    • Usage
    • Running the server
    • Running with Docker
    • Configuration
    • Running with Claude Desktop
    • Tool Creation Example
    • Architecture
    • License

    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

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