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    Enables AI assistants to deeply interact with the PHP ecosystem, including runtime, static analysis, security scanning, testing, Composer, and frameworks like Laravel and Symfony. It exposes over 30 tools, 8 resources, and 7 prompts via MCP, allowing natural language commands to run PHP linting, static analysis, audits, tests, and project initialization.
    41
    MIT
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    An MCP server providing 15 tools for Unity projects, including Unity Gaming Services LiveOps (Economy, Cloud Save, Cloud Code), build-size and bloat analysis, and store-compliance checks.
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    MIT
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    Enables starting code analysis and obtaining code analysis reports via the MCP protocol, integrating with Tencent Cloud Code Analysis (TCA).
    37
    1
    ISC
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    Enables AI agents to analyze and search IFS Cloud codebases using hybrid semantic-lexical search, PageRank importance ranking, and dependency graph analysis. It supports comprehensive exploration of PL/SQL, entities, and projection files to facilitate intelligent architectural understanding.
    7
    MIT
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    Enables security review of code diffs and files in Cursor/VS Code using local rule-based analysis with the same rule IDs as CI, no cloud required.
    -
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    Offline MCP server for SAP ABAP static analysis, ABAP Cloud readiness scoring, and RAP scaffolding. It enables AI agents to lint ABAP source, compare reworks, check released APIs, and generate RAP business objects without needing an SAP system.
    9
    48
    MIT
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    An offline MCP server for SAP ABAP that provides static analysis, ABAP Cloud readiness checks, and RAP scaffolding using abaplint, enabling AI agents to analyze and generate ABAP code without a live SAP system.
    13
    48
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    MIT
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    Integrates Google Gemini 3.1 with Claude Code to provide web search, large codebase analysis, multimodal image understanding, and creative brainstorming, leveraging Gemini's 1M token context and Google Search grounding.
    5
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    142
    MIT
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    MCP server connecting Claude Code to LM Studio, delegating token-expensive tasks to a local model while keeping the cloud model in control. It reduces cloud context usage by reading files locally and returning only the processed results.
    4
    MIT
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    A fully local RAG MCP server for semantic code search and code intelligence, using AST-level chunking and hybrid search to pinpoint functions, classes, and APIs. No cloud, no API keys, zero setup.
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    13
    MIT
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    Behavioral verification intelligence for AI coding agents. Reads a TypeScript or JavaScript repo, clusters functions into 25 semantic workflows (Authentication, Payments, Webhooks, Caching, Queue, and more), and emits concrete adversarial probes per workflow. 17 MCP tools, local SQLite state, zero cloud.
    17
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    MIT