A dynamic MCP server that allows AI to create and execute custom tools through a meta-function architecture
{
"mcpServers": {
"ai-meta-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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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.
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
MIT. View license →
Is it maintained?
Last commit 251 days ago. 10 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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Privacy-first. MCP is the protocol for tool access. We're the virtualization layer for context.
Pre-build reality check. Scans GitHub, HN, npm, PyPI, Product Hunt — returns 0-100 signal.
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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.
⚠️ WARNING: This server allows for dynamic code execution. Use with caution and only in trusted environments.
npm install ai-meta-mcp-server
npx ai-meta-mcp-server
# 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
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")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"
}
}
}
}
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.
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.
MIT