---
title: "sdl-mcp"
type: "tool"
slug: "glitterkill-sdl-mcp"
canonical_url: "https://www.graphcanon.com/tools/glitterkill-sdl-mcp"
github_url: "https://github.com/GlitterKill/sdl-mcp"
homepage_url: null
stars: 417
forks: 25
primary_language: "TypeScript"
license: "Other"
archived: false
categories: ["model-training", "ai-agents", "evaluation-observability"]
tags: ["semantic-analysis", "agent-tools", "agentic-engineering", "agent-context", "code-graph", "agentic-coding", "context-budget", "code-analysis"]
updated_at: "2026-07-12T05:58:22.976259+00:00"
---

# sdl-mcp

> A policy-centered context budget layer for coding agents that enhances code analysis and workflow efficiency.

SDL-MCP (Symbol Delta Ledger) is a tool focused on improving the performance of AI-driven coding tasks by managing and optimizing codebase contexts. It employs technologies like semantic analysis, vector databases, and tree-sitter to streamline workflows and improve agent output in agentic engineering environments.

## Facts

- Repository: https://github.com/GlitterKill/sdl-mcp
- Stars: 417 · Forks: 25 · Open issues: 2 · Watchers: 5
- Primary language: TypeScript
- License: Other
- Last pushed: 2026-07-11T00:25:54+00:00

## Trust & health

_Signals computed from public GitHub metadata. Not a security guarantee._

- Maintenance: Very active (computed 2026-07-11T11:35:34.242Z)
- Security scan: No MCP manifest (0 critical, 0 high, 0 medium, 0 low) · last scan 2026-07-11T11:35:34.833Z
- Full report: [trust report](/tools/glitterkill-sdl-mcp/trust.md) · [JSON](https://www.graphcanon.com/api/graphcanon/tools/glitterkill-sdl-mcp/trust)

## Categories

- [Model Training](/categories/model-training.md)
- [AI Agents](/categories/ai-agents.md)
- [Evaluation & Observability](/categories/evaluation-observability.md)

## Tags

semantic-analysis, agent-tools, agentic-engineering, agent-context, code-graph, agentic-coding, context-budget, code-analysis

## Category neighbours (exploratory)

_Same-category tools for discovery only - not curated alternatives. Cap shown at six._

- [ECC](/tools/affaan-m-ecc.md) - The agent harness performance optimization system for AI agents (★ 228,395) [Very active]
- [hermes-agent](/tools/nousresearch-hermes-agent.md) - The agent that grows with you (★ 212,994) [Very active]
- [tensorflow](/tools/tensorflow-tensorflow.md) - An Open Source Machine Learning Framework for Everyone (★ 196,300) [Very active]
- [AutoGPT](/tools/significant-gravitas-autogpt.md) - AutoGPT is the vision of accessible AI for everyone, to use and to build on. (★ 185,464) [Very active]
- [transformers](/tools/huggingface-transformers.md) - Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models (★ 162,482) [Very active]
- [langflow](/tools/langflow-ai-langflow.md) - Langflow is a powerful tool for building and deploying AI-powered agents and workflows. (★ 151,697) [Very active]

_+ 2 more not listed._

## Adoption goal

SDL-MCP is a policy-centered tool designed specifically to improve AI-driven coding tasks by managing contexts more efficiently through technologies such as semantic analysis and tree-sitter.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/tools/glitterkill-sdl-mcp`](/api/graphcanon/tools/glitterkill-sdl-mcp)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_