Browse 27 tools for your AI coding workflow.
MCP server to integrate CodeRabbit AI reviews into LLM workflows for GitHub pull requests.
AI-powered GitHub code review tool that detects high-impact issues using LLMs.
Graph-based tool retrieval for LLM agents, reducing token usage by 79% with 82% accuracy.
MCP server to discover and analyze websites that implement the llms.txt standard.
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM, reducing tokens by 20-95% while preserving answers.
Builds a knowledge graph from any codebase with 14 LLM backends, impact analysis, and architecture-aware reasoning.
Open-source simulation harness for testing AI agents — simulates LLM and tool calls to test edge cases without live API calls.
