"Information on agent swarm architecture" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Create, read and edit architecture, flow and ER diagrams on a live canvas shared with your team.
An automated first pass over your architecture: structured intake in, verdict report out — every finding cited to its rule, an improvement map, and a plain NOT ASSESSED list of what was not examined. US$99 one-time; human-led tiers above it — Verified at US$749 and a Deep Dive (Principal Review) at US$5,000 cover adjudication and live-evidence work.
Read your microservice catalog: MICROSERVICE.md files, contracts, and who depends on what.Read your microservice catalog: MICROSERVICE.md files, contracts, and who depends on what. What you can do: - Implement a service from its spec and contracts - Call or consume another service using its real contract - Check the impact of changing an endpoint or event before you make the change - Find a service in your catalog, or resolve it from the Catalog ID line in a repo's MICROSERVICE.md A microservice.md account is required.
Automated architecture sanity check: 19 rule-cited checks, verdict report. Paid runs US$99.
Human-agent interface for projects: you prioritize and decide, your AI agents execute. Over MCP.
Write, check, render and save sequence diagrams with the request and response on every arrow.
Lint and diff DESIGN.md files with the official Google linter, or write one from a web page.
Patterns for designing and reviewing AI skills, agents, and multi-agent workflows. Find guidance on context economy, delegation, verification, and tool design; inspect claims, worked examples, maturity labels, and source references. Five read-only tools let agents discover relevant patterns, compare concise cards, read specific sections, and explore relationships. Hosted Streamable HTTP at https://agentic-atlas.dev/mcp/ — no installation, account, or API key required. Browse the atlas at https://agentic-atlas.dev/.
Interface requirements, missing-decision checks, and public frontend portfolio information.
Give your AI agent a persistent map of your project's structure, dependencies, and bugs.
Create workflow, sequence, architecture, and mind map diagrams via AI assistants.
Evidence-first architecture workbench: 48 deterministic tools, 10 architect personas, any cloud
Architecture docs and patterns for NestJS + Nuxt full-stack apps
Draw causal loop diagrams in the chat and edit them on a shared link.
Immutable agent diagrams: create, edit, validate and render versioned diagrams over MCP.
Read-only search of mikereams.com: CSDM diagrams, posts and the Architect's Toolbox
Architecture diagrams, explanations and Mermaid source for public GitHub repositories.
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.
Read consulting services and search public architecture consulting documents in English or German.
Create and edit collaborative architecture diagrams with any AI assistant using the Trident 2D DSL.
AI agent draws editable hand-drawn diagrams (flowchart, ER, architecture) via MCP, not static images
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Generate cloud architecture diagrams, flowcharts, and sequence diagrams.
Commission a multi-model AI spec committee from your agent; get rubric-scored, build-ready specs.
Create and edit architecture diagrams from your AI agent; get an SVG and a live editable canvas.
AI-powered diagrams, mind maps, flowcharts on a free unlimited collaborative whiteboard
MCP gateway with 10 tools for code analysis, architecture, package audit & security.
AI knowledge graph for architecture, portfolio, and digital strategy management.
Evidence-backed architecture-quality analysis for Python agent applications.
