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By imyousuf
Codebase knowledge graph and AI-powered code intelligence. Index codebases into a knowledge graph and query symbols, interfaces, dependencies, test coverage, and unused code.
npx claudepluginhub imyousuf/codeeagle --plugin codeeagleReview code changes and diffs against codebase conventions using CodeEagle's knowledge graph. Use for code review, convention checking, and identifying missing tests.
Show CodeEagle knowledge graph indexing status and statistics including node/edge counts, types, and git branch info.
Sync the CodeEagle knowledge graph with latest code changes. Supports diff-aware incremental sync and full re-index.
Query and analyze the codebase using CodeEagle's knowledge graph. Provides structured code data (symbols, interfaces, edges), impact analysis, design review, and general Q&A — all grounded in an indexed knowledge graph. Use this FIRST before reading source files.
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Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Codebase intelligence for Claude Code. Indexes your codebase into five layers (Graph, Git, Docs, Decisions, Code Health) and exposes them through nine task-shaped MCP tools — so Claude understands architecture, ownership, hotspots, why code is built the way it is, and where the defect risk lives.
Graph-first code intelligence for AI agents. SurrealDB knowledge graph + 52 MCP tools replace Read/Grep/Glob with deterministic graph traversal. 80–95% fewer tokens on code context. Rust-native, fully local.
Codebase intelligence — semantic search workflows, dependency graph analysis, and context artifact exploration for SocratiCode
Code intelligence powered by a knowledge graph. Provides execution flow tracing, blast radius analysis, and augmented search across your codebase.
Local codebase intelligence + change-safety gates for coding agents. Pre-indexes your repo's symbols, call graph, deps, and git history into SQLite (28 languages, 100% local, zero API keys), then exposes a lean 16-tool MCP core preset: graph-precise search, callers/impact blast radius, coupling, dead code, taint reachability, and pre-merge verify/critique gates that catch regressions, broken references, AI-slop duplication, and convention drift before they ship.
CodeAlive context engine for semantic code search and AI-powered codebase Q&A. Enables AI coding agents to understand entire codebases beyond just open files — search across all indexed repositories, trace cross-service dependencies, discover usage patterns, and get synthesized answers to architectural questions. Includes a lightweight code exploration subagent, authentication hooks, and multiple search modes (fast lexical, semantic, and deep cross-cutting). Works standalone or alongside the CodeAlive MCP server for direct tool access via the Model Context Protocol.
Claude Code skills and MCP server for ATR. Skills: atr-browser (browser control + recording), atr-computer (cross-platform desktop control with multi-monitor support and an in-process LLM agent for natural-language tasks: 'atr computer ask'), atr-analyze (run tests with AI analysis - keeps context clean), atr-behavior (natural language browser tests). MCP Server: 50+ tools (30 browser + 22 desktop including computer_ask) via 'atr mcp serve'.
Track and resume Claude Code sessions with an interactive TUI launcher
MCP tools for Nano Banana image generation, Veo video generation, and FFmpeg stitching.
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