UML-MCP Server is a UML diagram generation tool based on MCP (Model Context Protocol), which can help users generate various types of UML diagrams through natural language description or directly writing PlantUML and Mermaid and Kroki
Documentation
UML-MCP: Diagram Generation via MCP
[![Python >=3.12,
Quick Start
Choose your mode
- Remote (recommended): Fast setup over HTTP MCP with Vercel serverless runtime
- Local: stdio process for file output and local debugging
Remote quick start (Vercel HTTP MCP)
Use this when you want the deployed endpoint from this repo:
"uml-mcp": {
"transport": "http",
"url": "https://uml-mcp.vercel.app/mcp"
}Local quick start (stdio MCP)
git clone https://github.com/antoinebou12/uml-mcp.git && cd uml-mcp
uv sync
uv run python server.pyFor client config snippets, use:
config/cursor_config.jsonconfig/claude_desktop_config.jsonconfig/README.mdfor exact config file locations
Remote vs Local
- Transport: Remote uses HTTP MCP, local uses stdio by default
- Runtime: Remote runs on Vercel, local runs in your Python environment
- File writes: Remote is read-only (no
output_dir), local supportsoutput_dir - Returned data: Both return URL + base64; local can also save files
- Environment variables: Remote is managed server-side; local reads your env config
Important: The MCP route is /mcp, not the domain root.
Features
- 30+ diagram types -- UML (Class, Sequence, Activity, Use Case, State, Component, Deployment, Object), Mermaid, D2, Graphviz, TikZ, ERD, BlockDiag, BPMN, C4, and more via Kroki
- MCP-native tools --
generate_uml,validate_uml(optionalstrict),list_diagram_types,generate_uml_batch - Multiple outputs -- SVG, PNG, PDF, JPEG, and base64 (varies by diagram type)
- Fallback pipeline -- Kroki first, then PlantUML or Mermaid.ink
- Flexible deployment -- local stdio, local HTTP, Docker, Vercel, Smithery
Supported Diagram Types
- UML (PlantUML): Class, Sequence, Activity, Use Case, State, Component, Deployment, Object
- General: Mermaid, D2, Graphviz, ERD, BlockDiag, BPMN, C4
- Specialized: TikZ, Excalidraw, Nomnoml, Pikchr, Structurizr, SVGBob, WaveDrom, WireViz, and more
Full list with supported formats: run python server.py --list-tools or query uml://formats.
MCP Tools and Resources
Tools
generate_uml-- render a diagram; omitoutput_dirfor URL/base64 onlyvalidate_uml-- structural validation before render (strictfor extra Mermaid/D2 checks)list_diagram_types-- same metadata asuml://typeswhen resources are awkwardgenerate_uml_batch-- multiple diagrams in one call (cap:MCP_BATCH_MAX_ITEMS)
Resources (uml://)
types, templates, examples, formats, capabilities, server-info, mermaid-examples, bpmn-guide, workflow
Deployment
Vercel
This repo includes vercel.json for serverless deployment.
1. Connect the repo to Vercel
2. Use https://.vercel.app/mcp
3. Keep /mcp in all MCP client URLs
Smithery
1. Open smithery.ai/new, choose URL
2. Enter https://.vercel.app/mcp
3. Configure display name, description, and homepage
Detailed guide: docs/integrations/vercel_smithery.md
Docker
Default image serves FastAPI on port 8000 with MCP HTTP at http://127.0.0.1:8000/mcp.
# Full local stack (local Kroki + mermaid + blockdiag)
docker compose up -d
# API + MCP only (public Kroki)
docker build -t uml-mcp . && docker run -p 8000:8000 uml-mcp
# stdio MCP subprocess mode
docker run -i uml-mcp python server.py --transport stdioConfiguration (Local runtime)
These variables apply to local/self-hosted runs. Remote Vercel endpoint settings are managed server-side.
KROKI_SERVER-- Kroki server URL (default:https://kroki.io)PLANTUML_SERVER-- PlantUML server URL (default:http://plantuml-server:8080)MCP_OUTPUT_DIR-- diagram output directory (default:./output)MCP_READ_ONLY-- disable file writes (default:false)MCP_MAX_CODE_LENGTH-- max diagram code length (default:500000)MCP_BATCH_MAX_ITEMS-- max items pergenerate_uml_batch(default:20)MCP_RATE_LIMIT_PER_MINUTE-- HTTP rate limit per IP for diagram/MCP routes;0= off (default:0)USE_LOCAL_KROKI-- use local Kroki instance (default:false)USE_LOCAL_PLANTUML-- use local PlantUML instance (default:false)
Full options: docs/configuration.md
Architecture
server.py -- MCP entry point (stdio/HTTP)
app.py -- FastAPI REST API + MCP HTTP at /mcp
api/app.py -- legacy re-export of root app (Vercel FastAPI preset uses root app.py)
mcp_core/
core/ -- config, server, CLI, utilities, diagram pipeline
tools/ -- generate_uml, validate_uml
prompts/ -- diagram generation prompts
resources/ -- uml:// resource handlers
tools/kroki/ -- Kroki, PlantUML, Mermaid, D2 clientsFallback strategy: Kroki (primary) -> PlantUML server (UML types) / Mermaid.ink (Mermaid) -> error with details.
Development
# Install dev dependencies
uv sync --all-groups
# Run tests
uv run pytest tests/ -v
# Lint
uv run ruff check . && uv run ruff format --check .
# Integration tests (requires real FastMCP)
USE_REAL_FASTMCP=1 uv run pytest tests/integration -v
# Local CI
make ciDocumentation
- Online: antoinebou12.github.io/uml-mcp
- Local:
uv run mkdocs servethen open http://127.0.0.1:8000
Contributing
License
Acknowledgements
PlantUML | Kroki | Mermaid | D2
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