arch7
Generates Excalidraw architecture diagrams with support for 60+ components including GCP, Kafka, and AI/Agentic shapes. Provides MCP tools for creating, modifying, and converting diagrams from structured input or Mermaid syntax.
README
arch7
Architecture diagram generator for Excalidraw, exposed as an MCP server.
Fork of excalidraw-architect-mcp by Bhukya Venkatesh (MIT License).
What's different
- Cylinder shapes: vertical (databases), horizontal flattened (topics/queues)
- 60+ components with auto-styling: GCP (GKE, Cloud Run, GCS, BigQuery, Pub/Sub, VPC, PSC), Kong, Confluent (Kafka, Schema Registry, ksqlDB), Dynatrace, OpenTelemetry, AI/Agentic (LLM, Agent, MCP, Vector DB, RAG)
- Smaller diamonds for agent nodes
- Repackaged as
arch7_mcp
Install
pip install -e .
MCP server (Claude Code)
Add to ~/.claude/settings.json:
{
"mcpServers": {
"arch7": {
"command": "python",
"args": ["-m", "arch7_mcp"]
}
}
}
Tools
| Tool | Description |
|---|---|
create_diagram |
Structured nodes/connections → .excalidraw |
mermaid_to_excalidraw |
Mermaid syntax → .excalidraw |
modify_diagram |
Add/remove/update nodes on existing file |
get_diagram_info |
Read diagram state for iteration |
Usage (Python)
from arch7_mcp.core.models import Node, Edge, DiagramGraph, Direction
from arch7_mcp.engine.layout import compute_layout
from arch7_mcp.engine.renderer import build_excalidraw_file, save_excalidraw
nodes = [
Node(id="gke", label="GKE Cluster", component_type="gke"),
Node(id="kafka", label="Kafka Topics", component_type="kafka"),
Node(id="pg", label="PostgreSQL", component_type="postgresql"),
]
edges = [
Edge(from_id="gke", to_id="kafka"),
Edge(from_id="kafka", to_id="pg"),
]
graph = DiagramGraph(nodes=nodes, edges=edges, direction=Direction.LEFT_RIGHT)
layout = compute_layout(graph)
doc = build_excalidraw_file(layout)
save_excalidraw(doc, "arch.excalidraw")
License
MIT — see LICENSE. Original copyright Bhukya Venkatesh.
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