by scheidydude · MCP Server · ★ 260
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
codeindex Temporal code knowledge graph with blast-radius impact scoring, semantic symbol search, and git-history-aware dependency analysis — for AI-assisted development. Point it at any project — Python, JavaScript/TypeScript, Go, Ruby, Rust, Java, PHP, and more — and get: A persistent SQLite graph store at — incremental, queryable, temporal A dependency index written directly into your repo (preserved for backward compatibility) Per-file blast-radius scores (how many files break if this one changes), including historical as-of queries A symbol map so AI can find any function/class without scanning every file Hybrid semantic search over symbols: natural-language queries fused with keyword + graph expansion Git history backfill — temporal graph from commit history without touching the working tree Ten ways to consume the data: CLI, markdown report, MCP server (10 tools), pre-commit hook, CLAUDE.md injection An interactive visualization UI (2D/3D graphs, dependency matrix, treemap) No build step. No npm. Zero required runtime dependencies — SQLite is stdlib.
| Stars | 260 |
| Forks | 35 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 67.9979070364943/100 |
| Open Issues | 2 |
| Last Updated | 2026-06-19 |
| Created | 2026-05-20 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~19k |
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codeindex is Repo dependency analyzer with **blast-radius impact scoring** for AI-assisted development.. It is categorized as a MCP Server with 260 GitHub stars.
codeindex is primarily written in Python. It covers topics such as ai-assisted-development, blast-radius, cli.
You can find installation instructions and usage details in the codeindex GitHub repository at github.com/scheidydude/codeindex. The project has 260 stars and 35 forks, indicating an active community.
The top alternatives to codeindex on Agent Skills Hub include roam-code, stacklit, ops-codegraph-tool. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.