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"Methods to Address Consequences of Orthodontic Tooth Extractions" matching MCP servers:

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    Enables AI assistants and developers to analyze code for language-specific best practices and idiomatic patterns across programming languages, CI automation, and configuration formats.
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    MIT
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    Enables automated migration of Vue projects to React with intelligent analysis, task management, and learning from user modifications.
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    MIT
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    Enables AI coding agents to extract Figma design data and convert it into Flutter widgets and screens. Supports theme setup, component analysis, asset exports, and provides Flutter implementation guidance from Figma designs.
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    MIT
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    An MCP server that extends AI coding assistants with deterministic, algorithmic capabilities such as code analysis, fault localization, and formal verification, enabling an autonomous engineering team within the IDE.
    MIT
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    Provides Python refactoring capabilities via the Rope library, enabling AI agents to perform safe, project-wide code transformations such as renaming symbols, moving modules, and extracting methods.
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    MIT
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    Analyzes codebases and extracts all symbols (functions, classes, methods, interfaces, etc.) from 10+ programming languages into LLM-optimized markdown format. Enables AI assistants to understand entire project structures efficiently without processing full source code.
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    MIT
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    Analyzes source code structure across multiple languages using tree-sitter, extracting classes, functions, methods, and metadata with precise line numbers for efficient codebase exploration and AI-assisted development.
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    MIT
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    AI-powered characterization test generator that reads Python functions or class methods, synthesizes inputs, captures behavior in a sandbox, and emits pytest files to lock legacy code behavior for safe refactoring.
    4
    Apache 2.0
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    Connects Claude AI to Atelier B formal methods IDE, enabling typechecking, proof generation, automatic proving, and C code generation for B projects.
    18
    AGPL 3.0
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    Enables AI tools to analyze Java dependencies by scanning Maven projects, decompiling JAR files, and extracting detailed class information including methods, fields, and inheritance relationships. Solves the problem of AI hallucinations when generating code that calls external dependencies by providing accurate class structures through decompilation.
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    Apache 2.0