# Uml Mcp

> 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 https://uml-mcp.vercel.app/docs

- **Type:** MCP server
- **Install:** `agentstack add mcp-antoinebou12-uml-mcp`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [antoinebou12](https://agentstack.voostack.com/s/antoinebou12)
- **Installs:** 0
- **Category:** [Integrations](https://agentstack.voostack.com/c/integrations)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [antoinebou12](https://github.com/antoinebou12)
- **Source:** https://github.com/antoinebou12/uml-mcp
- **Website:** https://antoinebou12.github.io/uml-mcp/

## Install

```sh
agentstack add mcp-antoinebou12-uml-mcp
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# UML-MCP: Diagram Generation via MCP

[](https://github.com/antoinebou12/uml-mcp/actions/workflows/test.yml)
[](https://github.com/antoinebou12/uml-mcp/actions/workflows/build.yml)
[](https://github.com/antoinebou12/uml-mcp/actions/workflows/docs.yml)
[](https://github.com/antoinebou12/uml-mcp/stargazers)
[](https://opensource.org/licenses/MIT)
[](https://www.python.org/downloads/)
[](https://mseep.ai/app/antoinebou12-uml-mcp)

Generate UML and other diagrams through the [Model Context Protocol](https://modelcontextprotocol.io/).

### At a glance

| Topic | What you get |
| --- | --- |
| **Diagrams** | **30+ types**: UML (Class, Sequence, Activity, Use Case, State, Component, Deployment, Object), Mermaid, D2, Graphviz, TikZ, ERD, BlockDiag, BPMN, C4, and more via [Kroki](https://kroki.io/) |
| **MCP tools** | `generate_uml`, `validate_uml`, `list_diagram_types`, `generate_uml_batch` |
| **Outputs** | SVG, PNG, PDF, JPEG, base64 (availability varies by diagram type) |
| **Pipeline** | Kroki first, then [PlantUML](https://plantuml.com/) or [Mermaid.ink](https://mermaid.ink/) |
| **Deployment** | Local stdio, local HTTP, Docker, [Vercel](https://vercel.com/), [Smithery](https://smithery.ai/) |

| Source | URL |
| --- | --- |
| Live MCP (HTTP) | [https://uml-mcp.vercel.app/mcp](https://uml-mcp.vercel.app/mcp) |
| Smithery catalog | [Add via Smithery](https://smithery.ai/server/antoinebou12/uml) |

## 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)

Configuration for the public Vercel deployment:

```json
"uml-mcp": {
  "transport": "http",
  "url": "https://uml-mcp.vercel.app/mcp"
}
```

### Local quick start (stdio MCP)

```bash
git clone https://github.com/antoinebou12/uml-mcp.git && cd uml-mcp
uv sync
uv run python server.py
```

Example client configs:

- `config/cursor_config.json`
- `config/claude_desktop_config.json`
- `config/README.md` for exact config file locations
- **Claude Code:** install the bundled plugin from the repo marketplace (see below) or read [docs/integrations/claude_code.md](docs/integrations/claude_code.md)

### Claude Code plugin

Adds the hosted HTTP MCP server plus a diagram skill (no `settings.json` paste). In Claude Code:

```text
/plugin marketplace add https://github.com/antoinebou12/uml-mcp
/plugin install uml-mcp@uml-mcp-plugins
```

Use a local path instead of the GitHub URL if you already cloned this repo. Custom endpoints and validation: [docs/integrations/claude_code.md](docs/integrations/claude_code.md).

## 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 supports `output_dir`
- **Returned data:** Both return URL + base64; local can also save files
- **Environment variables:** Remote is managed server-side; local reads your env config

MCP clients must call `/mcp`, not the site root.

## Supported Diagram Types

| Category | Examples |
| --- | --- |
| 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, … |

Full list with supported formats: run `python server.py --list-tools` or query `uml://types` and `uml://formats`.

## MCP Tools and Resources

### Tools

| Tool | Purpose |
| --- | --- |
| `generate_uml` | Render a diagram; omit `output_dir` for URL/base64 only |
| `validate_uml` | Structural validation before render; `strict` enables extra Mermaid/D2 checks |
| `list_diagram_types` | Same metadata as `uml://types` when resources are awkward |
| `generate_uml_batch` | Multiple diagrams in one call (cap: `MCP_BATCH_MAX_ITEMS`) |

### Resources (`uml://`)

| Resource | Description |
| --- | --- |
| `uml://types` | Diagram types, backends, supported formats per type |
| `uml://templates` | Starter templates per type; see [BPMN 2.0.2 guide](docs/tutorials/bpmn.md) for element and flow reference (docs) |
| `uml://examples` | Example diagrams per type; [Mermaid](docs/diagrams/mermaid.md) documents named samples (sequence API, Gantt) alongside `uml://examples` (key `mermaid`) |
| `uml://formats` | Output formats per type |
| `uml://capabilities` | Type → backend → formats matrix used for validation |
| `uml://server-info` | Server name, version, tools, prompts, Kroki/PlantUML URLs |
| `uml://workflow` | Recommended plan-then-generate workflow |

## Deployment

### Vercel

This repo includes `vercel.json` for serverless deployment.

1. Connect the repo to [Vercel](https://vercel.com)
2. Use `https://.vercel.app/mcp`
3. Keep `/mcp` in all MCP client URLs

### Smithery

1. Open [smithery.ai/new](https://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](docs/integrations/vercel_smithery.md)

### Docker

Default image serves FastAPI on port 8000 with MCP HTTP at `http://127.0.0.1:8000/mcp`.

```bash
# 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 stdio
```

## Configuration (Local runtime)

These variables apply to local/self-hosted runs. Remote Vercel endpoint settings are managed server-side.

| Variable | Description | Default |
| --- | --- | --- |
| `KROKI_SERVER` | Kroki server URL | `https://kroki.io` |
| `PLANTUML_SERVER` | PlantUML server URL | `http://plantuml-server:8080` |
| `MCP_OUTPUT_DIR` | Diagram output directory | `./output` |
| `MCP_READ_ONLY` | Disable file writes | `false` |
| `MCP_MAX_CODE_LENGTH` | Max diagram code length | `500000` |
| `MCP_BATCH_MAX_ITEMS` | Max items per `generate_uml_batch` | `20` |
| `MCP_RATE_LIMIT_PER_MINUTE` | HTTP rate limit per IP for diagram/MCP routes (`0` = off) | `0` |
| `USE_LOCAL_KROKI` | Use local Kroki instance | `false` |
| `USE_LOCAL_PLANTUML` | Use local PlantUML instance | `false` |

Full options: [docs/configuration.md](docs/configuration.md)

## Architecture

Typical flow when a user asks an MCP-enabled assistant for a diagram: the assistant calls `generate_uml`, the server renders via Kroki, then returns URLs and optional base64 to the assistant for the user.

  

```text
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 clients
```

## Development

```bash
# Install dev dependencies
uv sync --all-groups

# Run tests
uv run pytest tests/ -v

# Lint
uv run ruff check . && uv run ruff format --check .

# Local CI
make ci
```

## Documentation

Built with [MkDocs](https://www.mkdocs.org/) + [Material](https://squidfunk.github.io/mkdocs-material/):

- **Online**: [antoinebou12.github.io/uml-mcp](https://antoinebou12.github.io/uml-mcp/)
- **Local**: `uv run mkdocs serve` then open [http://127.0.0.1:8000](http://127.0.0.1:8000)

## Contributing

- [Contributing guide](CONTRIBUTING.md)
- [Code of conduct](CODE_OF_CONDUCT.md)
- [Security policy](SECURITY.md)

## License

[MIT](LICENSE)

## Acknowledgements

[PlantUML](https://plantuml.com/) | [Kroki](https://kroki.io/) | [Mermaid](https://mermaid.js.org/) | [D2](https://d2lang.com/)

## Star History

[](https://star-history.com/#antoinebou12/uml-mcp&Date)

## Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [antoinebou12](https://github.com/antoinebou12)
- **Source:** [antoinebou12/uml-mcp](https://github.com/antoinebou12/uml-mcp)
- **License:** MIT
- **Homepage:** https://antoinebou12.github.io/uml-mcp/

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** yes
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/mcp-antoinebou12-uml-mcp
- Seller: https://agentstack.voostack.com/s/antoinebou12
- Browse the marketplace: https://agentstack.voostack.com/browse

---
Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.
