code-graph-mcp
★ 54
vs
learn-claude-code
★ 71.7k
code-graph-mcp vs learn-claude-code
code-graph-mcp: code-graph-mcp is a high-performance server that builds a structured knowledge graph of your codebase for AI coding assistants. It offers multi-language AST parsing, semantic search, call graph traversal, and HTTP route tracing to provide deep code understanding and optimize LLM context usage.; learn-claude-code: This repository provides a hands-on tutorial to learn how modern AI agents work by building one from scratch, emphasizing the core loop of model-tool interaction. It distills complex agent concepts into simple, iterative versions, from basic Bash agents to sophisticated skill-based systems.
01
TL;DR
Choose code-graph-mcp if…Perform impact analysis to understand the consequences and blast radius of proposed code changes.
Choose learn-claude-code if…Learning to build modern AI coding agents from scratch
02
Side-by-Side Comparison
03
Features
code-graph-mcp01Multi-language AST parsing across various depths (calls, imports, inheritance, HTTP routes) for languages like TypeScript, Python, Go, Rust, and Java.
02Hybrid semantic code search combining BM25 full-text and vector similarity search with Reciprocal Rank Fusion (RRF).
03Advanced code graph analysis including recursive call graph traversal, HTTP route tracing, dead code detection, and impact analysis.
04Incremental indexing with real-time updates via Merkle tree change detection and LLM context optimization through token-aware snippet extraction.
learn-claude-code01Understand the core Agent Loop pattern
02Learn effective Tool Design for AI interaction
03Implement Explicit Planning for predictable AI behavior
04Manage context and memory with Subagent Isolation
05Inject domain expertise on-demand using Skills
04
Use Cases
code-graph-mcp↳Perform impact analysis to understand the consequences and blast radius of proposed code changes.
↳Trace transitive call chains to understand complex function flows and dependencies across your codebase.
↳Conduct semantic searches to find relevant code based on conceptual descriptions, even if exact keywords are not present.
↳Gain a comprehensive overview of project architecture, modules, dependencies, and entry points.
learn-claude-code↳Learning to build modern AI coding agents from scratch
↳Developing custom tools and skills for AI agents
↳Scaffolding new agent projects with varying complexity levels
05
Best For
code-graph-mcp—
learn-claude-codeMost PopularTrending
FAQ
FAQ
What is the difference between code-graph-mcp and learn-claude-code?
Both code-graph-mcp and learn-claude-code are in the Code Assistant category. code-graph-mcp has 54 stars, while learn-claude-code has 71.7k stars.
Which is better, code-graph-mcp or learn-claude-code?
The best choice depends on your use case. Choose code-graph-mcp if Perform impact analysis to understand the consequences and blast radius of proposed code changes., and learn-claude-code if Learning to build modern AI coding agents from scratch.
Is code-graph-mcp free or open source?
Yes, code-graph-mcp is open source on GitHub.
Is learn-claude-code free or open source?
Yes, learn-claude-code is open source on GitHub (MIT).
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