ai-meta-mcp-server
A dynamic MCP server that allows AI to create and execute custom tools through a meta-function architecture
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-serverUsage
Running the server
npx ai-meta-mcp-serverRunning 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-serverConfiguration
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
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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