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janreges/ai-distiller-mcp

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AI Distiller is ultra‑fast, open‑source tool for intelligently extracting only the essential public APIs, types, and structure from large codebases. Compresses 90–98% of code into

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MCP

janreges/ai-distiller-mcp

Added 1 June 2026

Catalogue record, not a reviewed recommendation. This record can include automatically collected descriptions and setup details. Confirm important claims with the original source. Explore source-reviewed tools.

Overview

An ultra-fast, open-source tool written in C that extracts only essential public APIs, types, and structure from large codebases. It compresses code by 90–98% to produce AI-friendly context, integrating via CLI or MCP (Model Context Protocol) and supporting 12+ languages.

Best for

Best for
Developers who need to feed large codebases into LLMs cheaply and efficiently

Use cases

  • Reduce token usage when sending large codebases to LLMs
  • Extract clean public interfaces for AI-assisted code generation or analysis
  • Prepare minimal code context for cost-effective prompt workflows

How to use

Install

npm install -g @janreges/ai-distiller-mcp

Tools exposed

  • prompt-for-refactoring-suggestion
  • prompt-for-complex-codebase-analysis
  • prompt-for-security-analysis
  • prompt-for-performance-analysis
  • prompt-for-best-practices-analysis
  • prompt-for-bug-hunting
  • prompt-for-single-file-docs
  • prompt-for-diagrams
  • flow-for-deep-file-to-file-analysis
  • flow-for-multi-file-docs
  • visual-progress-bar
  • stock-ticker
  • speedometer-dashboard
  • minimalist-sparkline
  • ci-friendly

Clients listed in this record (not verified here)

Claude Desktop, Claude Code, Cursor, Windsurf, VS Code, ChatGPT

Notes

159 stars on GitHub. Last updated 2026-05-25. Licensed MIT.

Pros

  • Extremely fast due to implementation in C
  • Open source with no vendor lock-in
  • Significant token savings (90–98% compression)

Cons

  • Only captures public APIs and types, losing internal implementation details
  • Limited community adoption (159 stars) may mean fewer integrations or fewer tested edge cases
  • Requires familiarity with MCP or CLI for integration
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