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    Enables AI assistants to interact with iOS Simulators and Android Emulators, allowing autonomous app development, UI interaction, profiling, and debugging through natural language.
    73
    2,085
    Apache 2.0
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    Enables code execution in isolated Docker containers with persistent IPython, Node.js, or R kernels, supporting file import/export and cross-session transfers via MCP tools.
    6
    MIT
  • F
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    A safe, local MCP server that lets Claude drive a controlled software-development loop (inspect, read, plan, patch, apply, check, analyze, fix, summarize) on a project, using deterministic tools and real diffs/test runs.
    10
    1
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    Enables AI agents to code and debug Commodore PET software using the VICE emulator, with CLI and MCP tools for session control, screen reading, memory manipulation, and testing.
    44
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    MIT
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    A guarded Model Context Protocol server that lets AI assistants inspect, edit, test, and validate explicitly approved local software projects, featuring 49 focused MCP tools for project discovery, safe editing, Git inspection, Laravel integration testing, and more.
    49
    1
    MIT
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    quality
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    Enables non-coders to build software by describing ideas in natural language, orchestrating AI agents and CLI workers via chat without needing a terminal.
    30
    11
    3
    Apache 2.0
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    Production-grade, autonomous Model Context Protocol (MCP) server that elevates AI models from stateless code generators into persistent, self-verifying software engineers.
    21
    1
    MIT
  • F
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    Turns AI assistants into full-stack software engineers with 36 tools for cognitive reasoning, code validation, project scaffolding, and AI/IDE configuration generation across 130+ programming languages, databases, and frameworks.
    35
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    Enables coding agents to navigate and query source code by providing context, symbols, and call graph information through a graph index.
    3
    MIT
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    Code-pinned team memory for AI coding agents — typed artifacts (Decision/Analysis/Debug/Task), MCP-native workflow, self-host with Docker Compose.
    12
    Apache 2.0
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    Multi-Agent Development Agentic Network that enables AI-driven software development through specialized agents, interactive wizards, and structured debate, with MCP integration for IDE tools like workflow execution, impact analysis, and ecosystem search.
    60
    MIT