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    Enables AI agents to analyze large codebases and document collections by consulting large context window models (up to 2M tokens) via OpenRouter when files exceed the current agent's context limits.
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    295
    MIT
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    An AST-based MCP server that provides token-efficient codebase skeletons to LLM agents, reducing context token usage by 80-95% by exposing structural information instead of full source files.
    Last updated
    5
    175
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    MIT
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    Scans source code for possible Korean compliance risks (PIPA, Network Act, Credit Information Act, E-Commerce Act) and maps findings to specific legal provisions. Runs locally, exposes MCP tools for scanning and law lookup, and does not constitute legal advice. That's hedged (matches the project's "possible risk / not legal advice" rule), keyword-rich for search, and names all four laws.
    Last updated
    4
    1
    MIT
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    An MCP server that scans codebases to extract structural information (classes, functions, etc.) with flexible filtering options and outputs in LLM-friendly formats.
    Last updated
    1
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    GPL 3.0
  • F
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    Provides AI tools with access to real-time web search, automated code reviews, and detailed Korean business information through the AgentSkills API. It enables users to perform structured searches, analyze code for security and performance, and retrieve Korean company financial data.
    Last updated
    3
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    Provides comprehensive development tools for FastMCP projects including documentation access, NPM package version management, and TypeScript type definitions retrieval. Enables developers to fetch FastMCP documentation, analyze NPM packages, and access MCP architecture information through natural language.
    Last updated
    6
  • A
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    A MCP server for Trae IDE that reads and reports diagnostic information (errors/warnings/hints) from the IDE, enabling AI Agents to provide more intelligent code analysis and suggestions.
    Last updated
    4
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    MIT
  • A
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    Provides AI assistants with accurate Flyte V2 knowledge, patterns, and plugin information to help developers write correct Flyte code. It enables tasks like learning the V2 API, finding examples, selecting plugins, and migrating V1 code to V2.
    Last updated
    17
    Apache 2.0
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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.
    Last updated
    3
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    Apache 2.0