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    Analyzes application crash dumps and extracts debug symbols, transforming Windows minidump files into readable stack traces and providing AI-powered crash analysis to help identify root causes and fix critical issues.
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    MIT
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    Provides debugging capabilities for Python, C, C++, Rust, Swift, and more through the Debug Adapter Protocol, enabling breakpoints, step-by-step evaluation, and stack traces.
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    MIT
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    A multi-language debugger with real-time web UI and 64 MCP tools for LLM-driven debugging, supporting Python, JavaScript, TypeScript, C/C++, Rust, Java, Scala, and WebAssembly.
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    MIT
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    Visual CVE audit dashboard for npm, Python, Go, and Rust projects. Scans your project manifests (package-lock.json, requirements.txt, go.sum, Cargo.lock) against OSV.dev live data, opens a browser dashboard for human review, then applies fixes only after explicit confirmation. Supports multi-service monorepos in one command.
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    MIT
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    Generates realistic, referentially-coherent test data (SQL INSERTs, JSON, or CSV) from your database schema, resolving foreign keys and respecting constraints. Paste CREATE TABLE DDL or a JSON schema and get ready-to-run seed data with valid relationships.
    Last updated
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    41
    MIT
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    Provides instant GDScript syntax validation and diagnostics by bridging Godot's native Language Server Protocol to MCP clients. Enables real-time syntax checking in AI assistants without requiring custom plugins or context switching to the Godot editor.
    Last updated
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    38
    MIT
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    MCP server for fenestra, a pure-Rust native GUI framework. Renders and verifies native UIs headlessly (no display, no GPU): a typed accessibility tree, semantic query/interact, contrast/focus-order/hit-target checks, screenshot diffing, and motion filmstrips.
    Last updated
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    9
    Apache 2.0
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    Local MCP server for querying VCD waveform files via SQLite; enables AI agents to ask precise questions about signal values, transitions, and clock cycles without dumping raw VCD text.
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    MIT
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    Enables AI-driven testing and automation of Tauri desktop applications through natural language, allowing users to interact with UI elements, capture screenshots, execute commands, and test application flows without manual clicking or complex scripts.
    Last updated
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    MIT