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    • A
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      Enables AI coding agents to interact with TypeScript projects through compiler-level code intelligence, providing tools for navigation, type information, diagnostics, refactoring, and semantic search.
      29
      179 npm
      4
      Apache 2.0
    • A
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      Enables semantic code search across multiple repositories using natural language queries. Provides intelligent code discovery, symbol lookups, and cross-repo dependency analysis for AI coding agents.
      MIT
    • A
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      Enables AI coding agents to query a semantic cross-repository code graph for symbols, references, callers, dependencies, and change impact across registered repositories.
      12
      23
      Apache 2.0
    • A
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      Enables querying and analyzing code relationships by building a lightweight graph of TypeScript and Python symbols. Supports symbol lookup, reference tracking, impact analysis from diffs, and code snippet retrieval through natural language.
      MIT
    • A
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      Enables coding agents to query a static AST-based call graph for TypeScript/JavaScript repositories, including who-calls, impact analysis, entry-to-dependency traces, hotspots, symbol search, and git-blame archaeology, with every result backed by source evidence chains.
      9
      1
      MIT
    • A
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      Exposes TypeScript Language Server Protocol functionality to AI agents, enabling them to query types at specific positions, find definitions and references, get diagnostics, run type tests, and type-check inline code just like in an IDE.
      9
      273 npm
      3
      MIT