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"Token savings strategies for code intelligence tools" matching MCP servers:

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    maintenance
    Provides access to Brian Eno and Peter Schmidt's Oblique Strategies card deck to help users overcome creative blocks through lateral thinking. It enables searching and retrieving random prompts from various editions, including collections adapted specifically for programmers.
    3
    1
  • A
    license
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    quality
    F
    maintenance
    Enables semantic prompt compression for LLM workflows, reducing token usage by 30-70% while preserving semantic meaning.
    9
    MIT
  • A
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    quality
    C
    maintenance
    A local MCP server for intelligent PDF management that converts papers to markdown and enables hybrid grep and semantic search, allowing token-efficient exploration of academic documents.
    6
    MIT
  • A
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    quality
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    maintenance
    Token safety oracle for AI agents. Honeypot detection, 17 scam pattern checks, LP lock verification across 6 EVM chains. Score 0-100 with risk flags. ERC Token Safety Score standard.
    1
    MIT
  • A
    license
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    quality
    B
    maintenance
    A unified MCP server for academic paper discovery, citation exploration, and research intelligence workflows over multiple scientific knowledge sources.
    7
    1
    MIT
  • A
    license
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    quality
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    maintenance
    An MCP server that provides dynamic codebase context to Claude Code through tools like hybrid search, recent changes, and symbol definitions, enhancing AI-assisted coding with local RAG.
    8
    MIT
  • A
    license
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    quality
    B
    maintenance
    Provides five safe tools (calc, search, model_drift, compare_runs, grade_answer) for arithmetic, keyword search, model drift monitoring, eval comparison, and answer grading against sources, all implemented directly from the MCP spec with zero dependencies.
    5
    MIT
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    Provides actionable financial intelligence tools for AI agents including insider buying signals, earnings IV plays, market pulse, stock analysis, and options strategies via free public data sources.
    6
    MIT
  • A
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    quality
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    maintenance
    Provides structural, queryable understanding of a Python codebase via MCP tools, enabling direct lookups for callers, dependencies, and class hierarchies without repeated grep/read cycles.
    6
    Apache 2.0