"A server for finding vibe code or vibe-related programming content" matching MCP servers:

Code-aware browser testing agent — reads your codebase, understands functionality, tests every element, reports with screenshots. Works as MCP server for Cursor/Claude Code or standalone CLI.

Enables scanning of code and URLs for security vulnerabilities (hardcoded secrets, missing headers, etc.) via Claude Code, integrating with the vibe-audit security scanner.

Assigns personality types to functions, rates variable name energy, and suggests aesthetic alternatives for code, providing an unscientific yet entertaining vibe assessment.

A multi-agent system that scans a JavaScript or TypeScript source file for unbalanced addEventListener calls, flags memory-leak vectors, and produces a validated patch via a Gemini LLM.

Local MCP server to index your codebase once and search it across AI sessions with keyword, semantic, or hybrid search, keeping all data on disk.

Provides long-term memory and codebase AST intelligence for AI coding agents, enabling persistent context handoff and high-efficiency symbol queries.

Automatically collects, summarizes, and documents code from vibe coding sessions, generating multiple document types (README, DESIGN, TUTORIAL, etc.) and publishing them to platforms like Notion, GitHub Wiki, and Obsidian.

Fix your vibe coding prompts before they reach the AI. Scores and rewrites across 4 dimensions — no API key, no server, just npx. Now with codebase-aware context injection for design, database, API, auth, testing, and state management.

Enables MCP-compatible AI applications to perform read-only npm package and project dependency safety scans, returning proceed, caution, or block verdicts without executing package code.

A Python-based server for managing and analyzing code context for AI-assisted development. Provides real-time code analysis, project structure analysis, dependency tracking, and secure API endpoints.

Local MCP server for AI agents and vibe coding safety: deterministic risk checks (payments, auth, database, secrets, infrastructure), sessions, checkpoints, policy inspection, and fix prompts. Runs over stdio against a local git repository; no language model judges risk.

Comprehensive MCP server for analyzing GitHub pull requests, detecting security vulnerabilities, assessing code quality, and providing risk ratings across multiple languages.

A comprehensive Model Context Protocol server that integrates Vibe Coding methodology with Knowledge Graph technology for AI-assisted software development using Kuzu embedded database.

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.

A production-grade MCP server for the Code-Fundi API, enabling AI agents to map codebases, search semantically, and analyze blast radius. It provides tools for repository management, AI-powered research, and impact analysis before shipping changes.

Automatically reads Sentry issues, investigates them by analyzing your Ruby codebase, explains why issues happened, and provides fix suggestions.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

A semantic code search MCP server that enables natural language queries against your codebase, supporting features like related file discovery and context expansion, all running locally.

A modular MCP server that provides tools for file operations, regex-based code searching, and structural analysis of functions and classes across multiple programming languages. It also includes AI-powered features for intelligently updating files according to architectural changes.

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