Best Refactor AI Skills & MCP Servers

MCP server for semantic Java code analysis, built on Eclipse JDT. Provides 63 tools for navigation, refactoring, and code intelligence.

MCP server that combines Read+Edit operations into single tool calls — 80-95% fewer tool calls for multi-file refactoring

Code modification toolkit — loads symbol, rename, codeedit, inline, textsearch for automated refactoring.

TypeScript Language Server exposed via MCP for AI agents

Rename refactoring — rename symbols across files, rename files with import updates, bulk rename with preview.

Local, repo-scoped context platform for coding assistants. Semantic search, graph relationships, and architectural rule context.

RCA infrastructure for AI-built code. Code knowledge graph + opinionated RCA engine, exposed via MCP (Cursor / Claude Code / Cody / Cline / Continue / Windsurf / Zed) plus CLI and library. RCA is the wedge; the same engine covers code review, refactor bla

AI-Powered Development Toolkit - MCP Server with 27 tools covering code quality, development efficiency, project management, and UI/UX design. Features: Structured Output, Workflow Orchestration, UI/UX Pro Max, and Requirements Interview.

Inline, extract, and move refactoring — inline variables/functions, extract code to new functions, move between files.

48-tool MCP server for codebase analysis — dependency graphs, architecture layers, security scanning, refactor plans, git history, and more. Works with GitHub and GitLab repos (cloud + self-hosted) and local directories.