AWS Diagram MCP Server
# AWS Diagram MCP Server
Model Context Protocol (MCP) server for AWS Diagrams
This MCP server that seamlessly creates [diagrams](https://diagrams.mingrammer.com/) using the Python diagrams package DSL. This server allows you to generate AWS diagrams, sequence diagrams, flow diagrams, and class diagrams using Python code.
[](https://github.com/awslabs/mcp/blob/main/src/aws-diagram-mcp-server/tests/)
## Prerequisites
1. Install `uv` from [Astral](https://docs.astral.sh/uv/getting-started/installation/) or the [GitHub README](https://github.com/astral-sh/uv#installation)
2. Install Python using `uv python install 3.10`
3. Install GraphViz https://www.graphviz.org/
## Installation
| Cursor | VS Code |
|:------:|:-------:|
| [](https://cursor.com/en/install-mcp?name=awslabs.aws-diagram-mcp-server&config=eyJjb21tYW5kIjoidXZ4IGF3c2xhYnMuYXdzLWRpYWdyYW0tbWNwLXNlcnZlciIsImVudiI6eyJGQVNUTUNQX0xPR19MRVZFTCI6IkVSUk9SIn0sImF1dG9BcHByb3ZlIjpbXSwiZGlzYWJsZWQiOmZhbHNlfQ%3D%3D) | [](https://insiders.vscode.dev/redirect/mcp/install?name=AWS%20Diagram%20MCP%20Server&config=%7B%22command%22%3A%22uvx%22%2C%22args%22%3A%5B%22awslabs.aws-diagram-mcp-server%22%5D%2C%22env%22%3A%7B%22FASTMCP_LOG_LEVEL%22%3A%22ERROR%22%7D%2C%22autoApprove%22%3A%5B%5D%2C%22disabled%22%3Afalse%7D) |
Configure the MCP server in your MCP client configuration.
### directly from Git:
```json
{
"mcpServers": {
"aws-diagram-mcp-server": {
"type": "stdio",
"command": "uvx",
"args": [
"--from",
"git+https://github.com/lukeburciu/aws-diagrams-mcp-server@main",
"aws-diagram-mcp-server"
],
"env": {
"FASTMCP_LOG_LEVEL": "ERROR"
},
"autoApprove": [],
"disabled": false
}
}
}
```
## Features
The Diagrams MCP Server provides the following capabilities:
1. **Generate Diagrams**: Create professional diagrams using Python code
2. **Multiple Diagram Types**: Support for AWS architecture, sequence diagrams, flow charts, class diagrams, and more
3. **Customization**: Customize diagram appearance, layout, and styling
4. **Security**: Code scanning to ensure secure diagram generation
## Quick Example
```python
from diagrams import Diagram
from diagrams.aws.compute import Lambda
from diagrams.aws.database import Dynamodb
from diagrams.aws.network import APIGateway
with Diagram("Serverless Application", show=False):
api = APIGateway("API Gateway")
function = Lambda("Function")
database = Dynamodb("DynamoDB")
api >> function >> database
```
## Development
### Testing
The project includes a comprehensive test suite to ensure the functionality of the MCP server. The tests are organized by module and cover all aspects of the server's functionality.
To run the tests, use the provided script:
```bash
./run_tests.sh
```
This script will automatically install pytest and its dependencies if they're not already installed.
Or run pytest directly (if you have pytest installed):
```bash
pytest -xvs tests/
```
To run with coverage:
```bash
pytest --cov=awslabs.aws_diagram_mcp_server --cov-report=term-missing tests/
```
For more information about the tests, see the [tests README](https://github.com/awslabs/mcp/blob/main/src/aws-diagram-mcp-server/tests/README.md).
### Development Dependencies
To set up the development environment, install the development dependencies:
```bash
uv pip install -e ".[dev]"
```
This will install the required dependencies for development, including pytest, pytest-asyncio, and pytest-cov.
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose with no overlap: generate_diagram creates diagrams, get_diagram_examples provides example code, and list_icons lists available icons. The descriptions explicitly define their roles in a sequential workflow, making misselection unlikely.
All tool names follow a consistent verb_noun pattern (generate_diagram, get_diagram_examples, list_icons) with clear, descriptive verbs. There are no deviations in style or convention across the set.
With 3 tools, this is well-scoped for the server's purpose of generating AWS diagrams. Each tool earns its place by covering essential aspects: examples, icon discovery, and diagram generation, forming a complete workflow without bloat.
The tool set provides complete coverage for the diagram generation domain: get_diagram_examples for learning syntax, list_icons for resource discovery, and generate_diagram for execution. There are no obvious gaps, and the workflow guides agents from start to finish without dead ends.