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"Exploring Applications of AutoGen Technologies" 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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    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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    Connects AI assistants like Claude to PHP's XDebug debugger for runtime inspection, breakpoint control, and variable tracking, enabling natural language debugging of PHP applications.
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    Apache 2.0
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    A local MCP server that indexes a repository into line-range chunks and serves compact evidence packets to cut token usage when exploring or debugging code.
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    MIT
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    Local-first, zero-egress security scanner for AI-generated / "vibe-coded" JS/TS. Bundles Opengrep, Gitleaks & Trivy behind one CWE-keyed schema and adds AI-code-specific checks (client-side secret exposure, Supabase RLS, prompt-injection & LLM-output XSS sinks). No account, no telemetry.
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    Apache 2.0
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    MCP server for exploring 4.2 BSD historical UNIX documentation, source code, and system calls. It provides tools to search and read prose manuals, man pages, source files, and the syscall table.
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    Creative Commons Zero v1.0 Universal
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    Enables AI-assisted FlutterFlow development by reading, exploring, and understanding FlutterFlow projects through Claude and other MCP-compatible clients.
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    MIT
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    Analyzes codebases to suggest relevant learning projects and generate interactive slides with direct links to the Marble platform. It enables developers to create tailored learning experiences based on their specific technologies, patterns, and code context.
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    MIT
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    A token-efficient MCP server for exploring GitHub repositories using tree-sitter AST parsing to extract symbol signatures and summaries. It enables users to search and retrieve specific code components while significantly reducing token consumption compared to raw file dumps.
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    An MCP security toolkit that integrates Burp-style HTTP proxying, AI-driven vulnerability hunting, source code auditing, and reporting into AI coding agents, enabling authorized security testing of web applications and source code.
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    MIT
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    The server facilitates natural language interactions for exploring and understanding codebases, providing insights into data models and system architecture using a cost-effective, simple setup with support for existing Claude Pro subscriptions.
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    An MCP server that enables users to store and retrieve personalized coding patterns, serving as a persistent memory layer for LLM agents. It allows AI models to generate code and refactor projects according to a user's specific styles, technologies, and established development conventions.
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    Provides AI agents with visibility into React applications by exposing tools to inspect component state, props, and performance metrics. It enables debugging and state analysis for both web and React Native applications through the Model Context Protocol.
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    MIT
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    A local MCP server that scans workspaces, detects projects and technologies, and creates reusable agents for planning, rules validation, performance review, and architecture review per project.
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