Browse 69 tools for your AI coding workflow.
A bridge between Streamable HTTP and stdio MCP transports, enabling flexible MCP server connectivity.
An MCP server that enables LLMs to index, search, and analyze code repositories with minimal setup.
MCP server for semantic code research and context generation using LLM patterns across public and private repos.
The most powerful Figma Console MCP capabilities, repackaged as Markdown skills for the native Figma MCP server — design tokens, variables, component analysis, WCAG lint, a11y audits, version history, FigJam & Slides.
MCP server for Screaming Frog SEO Spider – crawl sites, export data, and manage crawl storage via Claude or any MCP-compatible client
AI antivirus that protects developer agents by scanning plugins, skills, and MCP servers before they run.
Lightweight semantic code search engine with hybrid search and MCP server for Claude Code.
A security scanner for MCP servers and Agent Skills using NOVA rules.
A JADX plugin and MCP server for analyzing Android APKs with LLMs like Claude.
An MCP server that lets AI tools read, analyze, and modify Figma designs directly.
A browser extension and MCP server that captures live web pages as structured, agent-ready UI context for AI coding assistants.
Local Figma MCP server with no rate limits, no quotas, and a verification loop for AI coding agents.
The fast, Pythonic way to build MCP servers. Turn any Python function into an MCP tool in minutes.
An MCP server that bridges Figma designs with AI development workflows, providing tools for extracting pixel-perfect code and assets.
MCP server connecting Claude Code with Kimi K2.5 (256K context) to delegate bulk codebase analysis and save up to 90% on token costs.
Multi-database MCP server providing AI assistants structured access to MySQL, PostgreSQL, SQLite, and more simultaneously.
Compile-time generator of AI agent skills (SKILL.md) from TypeScript API docs, CLI definitions, and MCP servers.
A lightweight gateway that transforms existing MCP servers and APIs into MCP endpoints with zero code changes.
MCP server to discover and analyze websites that implement the llms.txt standard.
MCP server to integrate CodeRabbit AI reviews into LLM workflows for GitHub pull requests.
