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  Code Scalpelofficial

  3D-Tech-Solutions

  A

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  -Not graded

  quality

  C

  maintenance

  Enables AI assistants to surgically extract and analyze code, reducing token usage and costs by up to 200x compared to reading entire files.

  Updated 2 months ago (2026-06-23 23:22 UTC)

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  MIT

• jCodeMunch

  adefemi-dev

  F

  license

  A

  quality

  B

  maintenance

  Enables precise source code retrieval via tree-sitter AST parsing, cutting AI token costs by 86-99% by indexing codebases and fetching only needed symbols and structural queries (e.g., blast radius, importers) on demand.

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• Semantic Cache MCP

  CoderDayton

  A

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  A

  quality

  B

  maintenance

  Reduces token consumption by over 80% through intelligent file caching, returning only diffs for modified files and suppressing unchanged content. It features a suite of 12 tools for semantic search, batch reading, and efficient file editing to optimize LLM interactions with large codebases.

  Updated a month ago (2026-07-28 10:49 UTC)

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• Ambiance MCP Server

  sbarron

  A

  license

  A

  quality

  D

  maintenance

  Provides intelligent code context and analysis through semantic compression, AST parsing, and multi-language support. Offers 60-80% token reduction while enabling AI assistants to understand codebases through local analysis, OpenAI-enhanced insights, and GitHub repository integration.

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  6

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• code-atlas-mcp

  GeorgeTsakonas

  A

  license

  B

  quality

  C

  maintenance

  Enables LLMs to access AST-based code structure maps, token-efficient skeletons, and analyze diff impact and blast radius for regression testing.

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• CodeXRay

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  A

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  quality

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  maintenance

  Enables AI coding agents to query a pre-built semantic knowledge graph of code, reducing token usage and tool calls. Supports 16 tools for code exploration, analysis, and context building.

  Updated 7 months ago (2026-02-10 05:00 UTC)

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