"A guide to coding a monorepo" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Human-agent interface for projects: you prioritize and decide, your AI agents execute. Over MCP.
Ask your AI assistant to sketch or change a Neo4j graph data model, then open it in toro4n.
Lint and diff DESIGN.md files with the official Google linter, or write one from a web page.
Create and edit flowcharts, mind maps, wireframes, and docs in Whimsical, or search your workspace.
Search thousands of B2B conferences, see every speaker and sponsor, look up where a company speaks or sponsors, and rank events by fit with the people you sell to.
Write product documentation to share with your whole team, including testable specifications.
Draw causal loop diagrams in the chat and edit them on a shared link.
Draw diagrams, build HTML pages and write Markdown in a live editor the user sees.
Create flowcharts, mind maps, sequence/ER/UML diagrams and charts as editable, presentable boards.
Polished system design diagrams (SVG/PNG) from a tiny YAML spec, ~18x fewer tokens than raw SVG.
Software design skills for AI coding agents, inspired by A Philosophy of Software Design.
Draw Hola Cloud gives AI agents a visual canvas for creating and sharing diagrams. Through a simple MCP interface, agents can draw architecture diagrams, system designs, workflows, sequence diagrams, flowcharts, infrastructure layouts, and other visual explanations using shapes, connectors, text, icons, and images. The server lets an AI build a complete diagram programmatically and return a shareable Draw Hola Cloud URL that can be opened in the browser, edited, presented, or shared with others.
Idea to buildable dApp spec
Build Spring Boot applications, ready for coding agents, including best practices.
Commission a multi-model AI spec committee from your agent; get rubric-scored, build-ready specs.
Generate MantleKit setup plans and launch-ready SaaS blueprints from a product idea.
Design spec + milestones AI coding agents read before building; drift flagged, changes reviewed.
Provides UX capabilities to enhance the design output and understanding of AI systems.
Send a coupling matrix, get zone classifications and optimal factorization strategy.
AI visibility audits, llms.txt and schema generators, instant quotes, missed-call and ROI tools.
