Browse 22 tools for your AI coding workflow.
A Model Context Protocol server for Playwright that lets AI coding agents control browsers and run e2e tests.
An MCP server that transforms large codebases into searchable, hierarchical feature graphs using RAG, AST, and spectral clustering.
MCP server for semantic code research and context generation using LLM patterns across public and private repos.
Up-to-date code documentation for LLMs and AI code editors, eliminating outdated or hallucinated API references.
Universal memory layer for AI agents that enables personalized, context-aware interactions.
Universal AI context generator that saves thousands of tokens per conversation in Claude Code, Cursor, Copilot, and more.
Index your codebase to save 94% on AI coding tokens by enabling agents to search instead of reading files.
One command gives AI agents instant codebase context, replacing 50,000+ tokens of exploration with ~250 tokens.
A fast Rust CLI for codebase metrics, AST-compressed LLM context bundles, and a built-in MCP server.
Generate a map of your codebase to help AI agents understand your architecture, coding conventions, and patterns.
A memory layer for coding agents that stores and retrieves repo context, conventions, and invariants.
An MCP server that exposes llms.txt files to IDEs for context-aware development.
Inject version-matched Next.js docs into AI agent context files for retrieval-led coding.
A browser extension and MCP server that captures live web pages as structured, agent-ready UI context for AI coding assistants.
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.
A tool that solves the context management gap for LLMs by organizing codebase information into structured documents.
A framework for automated unit test generation using large language models with adaptive context and repair mechanisms.
Connect AI assistants like Claude to Penpot designs via Model Context Protocol for automated design workflows.
AI-driven semantic code search as an MCP tool using Windsurf's reverse-engineered SWE-grep protocol.
