Browse 88 tools for your AI coding workflow.
A JADX plugin and MCP server for analyzing Android APKs with LLMs like Claude.
Lightweight semantic code search engine with hybrid search and MCP server for Claude Code.
The fast, Pythonic way to build MCP servers. Turn any Python function into an MCP tool in minutes.
An MCP server that lets AI tools read, analyze, and modify Figma designs directly.
A security scanner for MCP servers and Agent Skills using NOVA rules.
AI antivirus that protects developer agents by scanning plugins, skills, and MCP servers before they run.
Auto-updating documentation for AI coding agents — keeps docs current with your codebase via MCP.
MCP server connecting Claude Code with Kimi K2.5 (256K context) to delegate bulk codebase analysis and save up to 90% on token costs.
An MCP server that bridges Figma designs with AI development workflows, providing tools for extracting pixel-perfect code and assets.
Compile-time generator of AI agent skills (SKILL.md) from TypeScript API docs, CLI definitions, and MCP servers.
Multi-database MCP server providing AI assistants structured access to MySQL, PostgreSQL, SQLite, and more simultaneously.
An MCP server that enables natural language management of GitHub Actions workflows, issues, pull requests, and repositories.
MCP server providing tools for listing and retrieving content from different knowledge bases via unified interface.
A lightweight gateway that transforms existing MCP servers and APIs into MCP endpoints with zero code changes.
MCP server to integrate CodeRabbit AI reviews into LLM workflows for GitHub pull requests.
AI-powered CLI and MCP server for browsing GitHub project documentation without manual source diving.
Convert source code repositories into searchable knowledge bases with MCP support for Claude and Cursor.
AI-driven semantic code search as an MCP tool using Windsurf's reverse-engineered SWE-grep protocol.
Connect AI assistants like Claude to Penpot designs via Model Context Protocol for automated design workflows.
MCP server to discover and analyze websites that implement the llms.txt standard.