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    Provides 18 tools for Electron development, including secure IPC scaffolding, security audits, migration assistance, and build error diagnosis, enabling AI assistants to generate correct Electron code.
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    MIT
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    Enables LLMs to debug Java applications using JDB, supporting breakpoints, stepping, expression evaluation, thread analysis, and more.
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    Apache 2.0
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    A Model Context Protocol server that provides AI assistants access to AWS CloudWatch Logs, enabling browsing, searching, summarizing, and correlating logs across multiple AWS services.
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    Apache 2.0
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    Provides a persistent memory and governance layer that allows AI coding agents to query documented architecture rules and validate code against team standards. It enables agents to verify compliance across categories like security and testing before suggesting changes to ensure consistency across development sessions.
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    Captures an agentic asset's foundational record as a single asset-record.json, including creation facts and author-only confirmed metadata. Provides MCP tools to record, read, and finalize provenance during asset development.
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    GPL 3.0
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    Audits a module against its test suite and reports the cases the tests are structurally unable to see, then proves each gap with a real failing test rather than a warning. Covers Python, TypeScript, JavaScript, Java, Rust and Go.
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    Apache 2.0
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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.
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    Apache 2.0
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    Provides AI coding assistants with access to AccelByte Gaming Services (AGS) Extend SDK functions and models through searchable symbols and detailed documentation. Helps generate SDK code by exposing context about available functions, models, and templates for creating Extend app projects across multiple languages (Go, C#, Java, Python).
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    Apache 2.0
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    An MCP server that enables users to search the Remix Icon catalog by mapping keywords to icon metadata using a high-performance local index. It returns the top five most relevant icon matches with categories and tags to streamline icon selection for design and development tasks.
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    MIT