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    Enables execution of TypeScript code to call MCP tools instead of direct tool calls, reducing token usage by up to 98% while orchestrating complex multi-tool workflows through secure sandboxed code execution.
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    An MCP server that provides tools for getting second opinions or detailed code reviews from Gemini 2.5 Pro by embedding file contents in prompts, allowing it to handle large codebases with extensive context.
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    A lightweight Model Context Protocol (MCP) orchestrator designed for efficiency at scale. It features TOON compression (reducing token usage by 30-90%) and Lazy Loading, making it the ideal solution for complex, multi-tool agentic workflows.
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    MIT
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    A Model Context Protocol implementation that enables LLMs to execute complex, multi-step workflows combining tool usage with cognitive reasoning, providing structured, reusable paths through tasks with advanced control flow.
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    MIT
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    MCP server for exploring the ECMAScript specification and its implementation, enabling semantic search of spec sections, JavaScript execution in engine262, and access to a knowledge graph linking spec sections to implementation functions.
    10
    ISC
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    A local sandbox that provides AI agents with code execution, filesystem access, and a full GUI desktop environment for 'computer use' capabilities. It exposes tools for shell commands, multi-language code interpretation, and remote desktop automation via the Model Context Protocol.
    213
    GPL 3.0
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    Repomix MCP Server enables AI models to efficiently analyze codebases by packaging local or remote repositories into optimized single files, with intelligent compression via Tree-sitter to significantly reduce token usage while preserving code structure and essential signatures.
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    MIT
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    An MCP server that enables AI agents to execute sandboxed JavaScript and TypeScript code instead of calling individual tools directly. It significantly reduces token usage by allowing agents to filter, aggregate, and transform data locally before returning results.
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    MIT
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    Enables agents to use many MCP servers without context bloat by exposing meta-tools (search, load, call, run_code) that reduce token usage via progressive disclosure and result trimming.
    306
    MIT