Nano Agent

Bridges OpenAI's Agent SDK with natural language task execution, enabling autonomous agent workflows with file system operations, multi-provider LLM support, and comprehensive session management for complex coding and automation tasks.

Nano Agent MCP server by IndyDevDan that bridges the Model Context Protocol with OpenAI's Agent SDK to enable autonomous agent execution through natural language prompts. The implementation provides a single powerful tool that accepts task descriptions in plain English and executes them using an AI agent with file system access, supporting multiple LLM providers including OpenAI (GPT-5 models), Anthropic (Claude models), and local Ollama models. Features comprehensive file operations (read, write, edit, list directories), multi-provider configuration with automatic API key detection, token tracking and cost calculation, and includes Claude Code integration with hooks for session management, TTS notifications, and transcript logging, making it valuable for developers who want to delegate complex multi-step coding tasks, file manipulation, and project automation to AI agents through conversational interfaces.