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GlitterKillCode context engine for AI agents
Top 91.9% on SourcePulse
Provides AI coding agents with precise, token-efficient code context by indexing codebases into a searchable symbol graph. It addresses the problem of AI agents consuming excessive tokens by feeding them entire files, offering a "cards-first" approach that significantly reduces token usage, accelerates workflows, and enhances agent output quality.
How It Works
SDL-MCP indexes code into a graph database using "Symbol Cards," compact metadata records for code entities. Agents query this graph for context, leveraging the "Iris Gate Ladder" – a four-rung escalation path from ~100-token Symbol Cards to full source code. This controlled context retrieval ensures agents receive only necessary information, achieving substantial token savings (4-20x) by avoiding the need to read entire files for most queries.
Quick Start & Requirements
npm install -g sdl-mcp (or npx --yes sdl-mcp@latest)sdl-mcp init -y --auto-indexsdl-mcp serve --stdioHighlighted Details
sdl-mcp tool command.Maintenance & Community
No explicit community channels (Discord/Slack) or contributor details are provided in the README. GitHub commit activity is indicated by a badge.
Licensing & Compatibility
This project is source-available under a Community License for free use, including internal business operations. A separate commercial license is required for distribution, bundling, embedding, or selling the software as part of a monetized product. Contact gmullins.gkc@gmail.com for commercial licensing. Compatible with various AI clients (Claude Code, Cursor, Gemini CLI, etc.) via stdio or HTTP.
Limitations & Caveats
Commercial distribution or embedding necessitates obtaining a specific commercial license. Development Memories are an opt-in feature and disabled by default. The README focuses on features, with no explicit mention of known bugs or alpha status.
9 hours ago
Inactive