MCP server that enables AI-assisted development through semantic code navigation and analysis. Uses symbol-based lookups, dependency graphs, and structural diffs to reduce token usage by 87% while replacing traditional grep/cat workflows.
Token Savior is a structural code intelligence MCP server designed for AI-assisted development. It allows developers and AI systems to navigate and edit code using semantic symbol names instead of raw text, enabling intelligent code comprehension without excessive token consumption. The tool provides advanced code analysis capabilities that significantly reduce token usage in AI interactions while improving development efficiency.
Token Savior is implemented as an MCP server compatible with platforms supporting the Model Context Protocol. Installation typically involves cloning the GitHub repository (Mibayy/tokensavior) and configuring it as an MCP server within your AI development environment. Detailed setup instructions are available in the project's GitHub documentation.
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