Ignition MCP Server
Enables AI assistants to interact with Inductiveautomation's Ignition SCADA/MES platform through its REST API. Provides 45+ tools for gateway management, project operations, backup handling, log analysis, and license activation.
README
Ignition MCP Server
A powerful Model Context Protocol (MCP) server that provides seamless integration with Inductiveautomation's Ignition SCADA/MES platform through its REST API. This enables AI assistants to interact with Ignition Gateway operations for automation, monitoring, and management tasks.
🚀 Features
- 🔌 Automatic API Integration: Dynamically generates 45+ tools from Ignition's OpenAPI specification
- 🛡️ Flexible Authentication: Supports both API keys and basic authentication
- 📊 Real-time Gateway Management: Monitor status, manage projects, handle backups, and more
- 🎯 MCP Protocol: Full compatibility with Claude Desktop and other MCP clients
- ⚡ Async Operations: Built on modern async/await patterns for optimal performance
- 🔧 Comprehensive Toolset: Pre-built tools for activation, backups, logs, modules, and projects
📋 Tool Categories
| Category | Tools | Description |
|---|---|---|
| 🔐 Activation | 7 tools | License management and gateway activation |
| 💾 Backup | 2 tools | Gateway backup creation and restoration |
| 📋 Logs | 11 tools | Log retrieval, management, and analysis |
| 📦 Modules | 10 tools | Module health checks and certificate management |
| 🏗️ Projects | 12 tools | Project creation, import, export, and management |
| ⚙️ Base Tools | 3 tools | Connection testing and tool discovery |
🛠️ Requirements
- Python 3.10+
- Ignition Gateway 8.3+ with REST API enabled
- Valid Ignition Gateway credentials or API key
📚 Documentation Structure
This repository includes comprehensive documentation:
- Installation Guide - Step-by-step setup instructions
- Configuration Guide - Environment and settings configuration
- API Reference - Complete API documentation for all modules
- Usage Examples - Practical examples and tutorials
- Contributing Guide - Development guidelines and contribution process
- Troubleshooting - Common issues and solutions
🚀 Quick Start
1. Installation
# Clone the repository
git clone https://github.com/yourusername/ignition-mcp.git
cd ignition-mcp
# Install with uv (recommended)
uv venv
source .venv/bin/activate # or .venv\Scripts\activate on Windows
uv pip install -e .
2. Configuration
# Copy environment template
cp .env.example .env
# Edit with your Ignition Gateway details
IGNITION_MCP_IGNITION_GATEWAY_URL=http://localhost:8088
IGNITION_MCP_IGNITION_API_KEY=your_api_key_here
3. Test & Run
# Test connection
python test_server.py
# Start MCP server
python -m ignition_mcp.main
🔗 Integration with Claude Desktop
Add to your Claude Desktop configuration:
{
"mcpServers": {
"ignition-mcp": {
"command": "python",
"args": ["-m", "ignition_mcp.main"],
"cwd": "/path/to/ignition-mcp",
"env": {
"IGNITION_MCP_IGNITION_GATEWAY_URL": "http://localhost:8088",
"IGNITION_MCP_IGNITION_API_KEY": "your_api_key"
}
}
}
}
📖 Example Usage
# Test gateway connection
{"tool": "test_connection", "arguments": {}}
# Get gateway status
{"tool": "get_gateway_status", "arguments": {}}
# List all available tools
{"tool": "list_available_tools", "arguments": {}}
# Activate a license
{"tool": "put_activation_activate_key", "arguments": {"key": "YOUR-LICENSE-KEY"}}
# Create gateway backup
{"tool": "get_backup", "arguments": {"includePeerLocal": false}}
# Get recent logs
{"tool": "get_logs", "arguments": {"limit": 100, "minLevel": "INFO"}}
🤝 Contributing
We welcome contributions! Please see our Contributing Guide for details on:
- Development setup
- Code style guidelines
- Testing procedures
- Pull request process
📄 License
This project is licensed under the MIT License - see the LICENSE file for details.
🔗 Related Projects
- Model Context Protocol - The MCP specification
- Ignition Documentation - Official Ignition docs
- Claude Desktop - AI assistant with MCP support
📞 Support
- Issues: GitHub Issues
- Discussions: GitHub Discussions
- Documentation: Project Wiki
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。