mondaycom / mcp

Enable AI agents to work reliably - giving them secure access to structured data, tools to take action, and the context needed to make smart decisions.

View on GitHub

409 stars

81 forks

42 issues

TypeScript

Chat with Codebase Architecture Scan Security Audit Explain Codebase

AI Architecture Analysis

This repository is indexed by RepoMind. By analyzing mondaycom/mcp in our AI interface, you can instantly generate complete architecture diagrams, visualize control flows, and perform automated security audits across the entire codebase.

Our Agentic Context Augmented Generation (Agentic CAG) engine loads full source files into context on-demand, avoiding the fragmentation of traditional RAG systems. Ask questions about the architecture, dependencies, or specific features to see it in action.

Source files are only loaded when you start an analysis to optimize performance.

Click here to launch the interactive analysis workspace

Embed this Badge

Showcase RepoMind's analysis directly in your repository's README.

[![Analyzed by RepoMind](https://img.shields.io/badge/Analyzed%20by-RepoMind-4F46E5?style=for-the-badge)](https://repomind.in/repo/mondaycom/mcp)

Preview: