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⇱ TypeScript code analysis tools to reduce Claude API usage | Glama

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TypeScript code analysis tools to reduce Claude API usage

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  • Why this server?

    This server directly addresses 'typescript code insights, symbols, definitions, connections' by offering advanced TypeScript code manipulation and analysis capabilities, which can feed structured information to Claude and reduce its need to process raw code, thus reducing usage.

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    A specialized server that provides advanced TypeScript code manipulation and analysis capabilities, enabling refactoring, navigation, diagnostics, and module analysis through Claude.
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  • Why this server?

    This server explicitly enables querying and analyzing code relationships by building a graph of TypeScript symbols, perfect for providing 'symbols, definitions, connections' to Claude and optimizing its understanding of the codebase.

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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.
    Last updated

  • Why this server?

    By adding 'semantic code search' and 'deep context' from the entire codebase, this server allows Claude to access pre-analyzed insights, which significantly reduces the need for Claude to process large amounts of code, thus lowering token usage.

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    Claude Context is an MCP plugin that adds semantic code search to Claude Code and other AI coding agents, giving them deep context from your entire codebase.
    Last updated
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    MIT

  • Why this server?

    This server creates and maintains a 'semantic knowledge graph of code,' providing advanced search capabilities without needing to put the entire codebase in Claude's context window, directly reducing usage while offering valuable code insights.

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    Creates and maintains a semantic knowledge graph of code that allows maintaining context across sessions with Claude, providing advanced search capabilities without requiring the entire codebase in the context window.
    Last updated
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  • Why this server?

    A TypeScript tool that 'tracks dependencies, and provides file summaries' is excellent for giving Claude focused 'code insights' and understanding of code structure, thereby making Claude's processing more efficient and reducing token usage.

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    A TypeScript tool that ranks files in your codebase by importance, tracks dependencies, and provides file summaries to help understand code structure through Cursor's Model Context Protocol.
    Last updated
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  • Why this server?

    This server directly targets 'reduce claude usage' by providing 'intelligent analysis of token usage patterns and optimization recommendations,' offering insights into how Claude's context window can be used more efficiently.

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    Provides intelligent analysis of token usage patterns and optimization recommendations to improve efficiency and reduce costs in Claude Code sessions. Offers real-time analysis, cost metrics, and actionable insights for better context window and tool usage optimization.
    Last updated
    3

  • Why this server?

    By maintaining 'project information, technology stack, tasks, decisions, and session history,' this server 'eliminates the need to re-explain project context' to Claude, which directly contributes to reducing Claude's token usage across sessions.

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    A persistent memory layer for Claude Code that maintains project information, technology stack, tasks, decisions, and session history between coding sessions, eliminating the need to re-explain project context.
    Last updated
    9
    MIT

  • Why this server?

    This server 'reduces token usage by offloading heavy thinking tasks from Claude to specialized operations,' implying it performs pre-analysis or structured processing that can include code insights, thereby making Claude's interaction more efficient.

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    Enables cost-effective repository analysis, code search, file editing, and task planning by wrapping the cursor-agent CLI through focused tools. Reduces token usage by offloading heavy thinking tasks from Claude to specialized operations with configurable output formats.
    Last updated
    7
    21

  • Why this server?

    Provides 'semantic memory and persistent storage' for Claude, allowing for enhanced search and retrieval of information. This enables Claude to efficiently access previously processed 'insights' and context, reducing redundant processing and usage.

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    Provides semantic memory and persistent storage for Claude, leveraging ChromaDB and sentence transformers for enhanced search and retrieval capabilities.
    Last updated
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    Apache 2.0