BPMN-MCP
An MCP server that enables AI assistants to programmatically create, modify, and export BPMN 2.0 workflow diagrams. It supports managing various process elements and sequence flows while providing export capabilities to standard XML and SVG formats.
README
BPMN-MCP
A Model Context Protocol (MCP) server for creating and manipulating BPMN 2.0 workflow diagrams programmatically. This server enables AI assistants and other tools to generate, edit, and export business process diagrams in the standard BPMN format.

Features
- Create BPMN Diagrams: Generate new workflow diagrams from scratch
- Add Process Elements: Insert events, tasks, gateways, and subprocesses
- Connect Elements: Create sequence flows between workflow components
- Export Formats: Save diagrams as BPMN 2.0 XML or SVG
- Import Support: Load and modify existing BPMN XML files
- Smart Hints: Get helpful nudges to ensure complete workflows with proper connections
Installation
Prerequisites
- Node.js (v16 or higher)
- npm or yarn
Local Setup
- Clone the repository:
git clone https://github.com/dattmavis/BPMN-MCP.git
cd BPMN-MCP
- Install dependencies:
npm install
- Build the project:
npm run build
Configuration
For Claude Desktop
Add the following to your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"bpmn": {
"command": "node",
"args": ["/absolute/path/to/BPMN-MCP/dist/index.js"]
}
}
}
Replace /absolute/path/to/BPMN-MCP with the actual path where you cloned this repository.
For Other AI Tools
This MCP server works with any tool that supports the Model Context Protocol. Configure it to run:
node /path/to/BPMN-MCP/dist/index.js
Usage
Once configured, you can ask your AI assistant to create BPMN diagrams. Here are some example requests:

Creating a Simple Workflow
Create a BPMN diagram for an order processing workflow with these steps:
1. Order Received (start event)
2. Validate Order (user task)
3. Process Payment (service task)
4. Order Complete (end event)
Connect them with sequence flows.

Creating a Workflow with Decision Points
Create a BPMN diagram for customer support ticket routing:
- Start: Ticket Received
- Task: Categorize Ticket
- Gateway: Check Priority
- If High: Escalate to Senior Support
- If Normal: Assign to Support Team
- Both paths lead to: Ticket Resolved (end)
Available Tools
The MCP server provides these tools:
create_bpmn_diagram
Creates a new BPMN diagram and returns a diagram ID.
add_bpmn_element
Adds an element to the diagram. Supported types:
- Events:
bpmn:StartEvent,bpmn:EndEvent,bpmn:IntermediateCatchEvent,bpmn:IntermediateThrowEvent - Tasks:
bpmn:Task,bpmn:UserTask,bpmn:ServiceTask,bpmn:ScriptTask,bpmn:ManualTask,bpmn:BusinessRuleTask,bpmn:SendTask,bpmn:ReceiveTask - Gateways:
bpmn:ExclusiveGateway,bpmn:ParallelGateway,bpmn:InclusiveGateway,bpmn:EventBasedGateway - Other:
bpmn:SubProcess
connect_bpmn_elements
Creates a sequence flow between two elements.
export_bpmn_xml
Exports the diagram as BPMN 2.0 XML format.
export_bpmn_svg
Exports the diagram as SVG for visualization.
list_bpmn_elements
Lists all elements in a diagram.
import_bpmn_xml
Imports an existing BPMN XML file for editing.
Example Output
The server generates standard BPMN 2.0 XML files that can be opened in:
- Camunda Modeler
- bpmn.io
- Any BPMN 2.0 compliant tool
Example XML output:
<?xml version="1.0" encoding="UTF-8"?>
<bpmn:definitions xmlns:bpmn="http://www.omg.org/spec/BPMN/20100524/MODEL"
xmlns:bpmndi="http://www.omg.org/spec/BPMN/20100524/DI"
xmlns:dc="http://www.omg.org/spec/DD/20100524/DC"
xmlns:di="http://www.omg.org/spec/DD/20100524/DI">
<bpmn:process id="Process_1" isExecutable="true">
<bpmn:startEvent id="Event_1" name="Start">
<bpmn:outgoing>Flow_1</bpmn:outgoing>
</bpmn:startEvent>
<bpmn:task id="Task_1" name="Process">
<bpmn:incoming>Flow_1</bpmn:incoming>
<bpmn:outgoing>Flow_2</bpmn:outgoing>
</bpmn:task>
<bpmn:endEvent id="Event_2" name="End">
<bpmn:incoming>Flow_2</bpmn:incoming>
</bpmn:endEvent>
<bpmn:sequenceFlow id="Flow_1" sourceRef="Event_1" targetRef="Task_1" />
<bpmn:sequenceFlow id="Flow_2" sourceRef="Task_1" targetRef="Event_2" />
</bpmn:process>
<!-- Diagram information omitted for brevity -->
</bpmn:definitions>
Development
Running in Development Mode
npm run watch
This will rebuild the project automatically when source files change.
Testing
You can test the server manually using the MCP protocol:
node dist/index.js
Then send JSON-RPC requests via stdin. Example:
{"jsonrpc":"2.0","id":1,"method":"tools/list","params":{}}
Technical Details
Architecture
- Runtime: Node.js with TypeScript
- BPMN Engine: bpmn-js (headless mode with jsdom)
- Protocol: Model Context Protocol (MCP)
- Output: BPMN 2.0 XML standard
Smart Workflow Hints
The server includes helpful hints to ensure complete diagrams:
- Reminds you to connect elements when adding tasks/events
- Warns when exporting diagrams with disconnected elements
- Suggests using
connect_bpmn_elementsto create proper workflows
License
MIT
Contributing
Contributions are welcome! Please feel free to submit issues or pull requests.
Support
For issues or questions:
- Open an issue on GitHub
- Check existing issues for solutions
Related Projects
- bpmn-js - BPMN 2.0 rendering toolkit
- Model Context Protocol - Protocol specification
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。