KushagraKumarSinha/tool_calling_reference_code
This project was built as a learning-focused tutorial to explore how tool calling works in modern OpenAI-compatible LLM APIs, demonstrating how a model can interpret a natural language request, choose the appropriate backend function, extract structured arguments, delegate execution to server-side code.
Platform-specific configuration:
{
"mcpServers": {
"tool_calling_reference_code": {
"command": "npx",
"args": [
"-y",
"tool_calling_reference_code"
]
}
}
}Add the config above to .claude/settings.json under the mcpServers key.
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