"Information or tools for code refactoring" matching MCP servers:

Enables LLMs to apply Martin Fowler's 71+ refactoring patterns to codebases through a pluggable, language-agnostic architecture. Supports previewing and applying refactorings, analyzing code smells, and inspecting code structure with safe-by-default operations.

Exposes structured prompt generation tools for refactoring protocol and governance specifications via MCP, enabling teams to generate, validate, and retrieve standardized refactoring prompts through automation scripts and HTTP APIs.

Analyzes Python code and provides guided refactoring suggestions without automatically modifying code.

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

MCP server providing code review, auto-fix, test running, linting, formatting, and refactor suggestions for Claude Code.

Bridges Claude Code CLI with Cursor IDE to use your existing Claude subscription without separate API costs.

Provides TypeScript and JavaScript code refactoring operations using ts-morph, allowing AST-based symbol renaming, file/folder renaming, reference searching, and path alias removal when integrated with editor extensions like Cursor.

Exposes Language Server Protocol (LSP) tools such as diagnostics, goto definition, find references, symbols, and rename as a stdio MCP server.

Enables agents to statically analyze Python source via AST traversal, computing McCabe cyclomatic complexity, cognitive nesting depth, and dependency graphs to pinpoint refactoring hotspots. It returns standardized refactoring plans, decomposition guidance, and code-metric telemetry with zero external dependencies.

A local MCP server that enables AI applications like Claude Desktop to securely access and work with Obsidian vaults, providing capabilities for reading notes, executing templates, and performing semantic searches.

MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution

Enables coding agents and developers to parse Python source into ASTs and compute complexity metrics that pinpoint refactoring hotspots, dead code, and breaking API diffs. It returns decomposition plans and dependency-graph telemetry over MCP, keeping token usage low with zero external dependencies.

MCP server with local vector search for your codebase. Smart indexing, semantic search, Git history — all offline.

embedded code search engine CLI -AST based that just works - improves speed and efficiency for coding agent

Enables multi-agent council workflows for coding assistants, providing parallel independent reviews, plans, brainstorms, validation, and research with strict read-only boundaries.

Integrates Google's Gemini AI models into Claude Code and other MCP clients to provide second opinions, code comparisons, and token counting. It supports streaming responses and multi-turn conversations directly within your existing AI development workflow.

MCP server that exposes tools to route natural language queries to typed IDs, describe catalog entries, and list repository verification commands for the m-dev-tools organization.

An MCP server that lets Claude Code delegate coding tasks such as code generation, review, refactoring, and test writing to a local Ollama instance running a Qwen3 model.

Gemini-powered MCP server for automated code review, analysis, and documentation.

Renders source code as beautiful SVG or PNG images with syntax highlighting, line numbers, and diff support. Ideal for AI agents to present code visually to humans or for sharing snippets.