MCP Server
The TagoIO MCP Server is a tool that allows AI models to directly interact with the TagoIO IoT platform, providing functions such as device management, data analysis, platform integration, and code generation to enhance the development workflow and intelligent data analysis.
rating : 2.5 points
downloads : 5.4K
What is the TagoIO MCP Server?
The TagoIO MCP Server is a bridge that connects AI assistants with the TagoIO IoT platform. It allows AI assistants like Claude and Cursor to directly access your TagoIO account, view device statuses, analyze sensor data, and generate code scripts, making AI your IoT development assistant.How to use the TagoIO MCP Server?
Simply configure the MCP server in your AI development tool and provide your TagoIO account token. The AI assistant can then immediately access your IoT device data. It supports various operations such as device query, data analysis, and code generation.Applicable scenarios
Scenarios such as IoT development and debugging, device data monitoring and analysis, automated script generation, team collaborative development, and intelligent fault troubleshooting. It is especially suitable for developers and operation and maintenance personnel who need to frequently view device statuses and analyze data.Main features
Device management
View the device list, device configuration information, and real-time data status. Obtain detailed device parameters and operating statuses.
Data analysis
Conduct statistical analysis on device historical data, including operations such as summation, average calculation, and data report generation.
Platform integration
Access TagoIO platform resources, including user management, automated actions, analysis scripts, and account statistical information.
Code generation
AI intelligently generates TagoIO analysis scripts, providing the correct code structure and API calls based on the context.
Development support
Provide development assistance functions such as debugging help, tag relationship analysis, and error troubleshooting.
Advantages
Seamless integration: Directly connect AI assistants with the TagoIO platform without additional middleware
Intelligent assistance: AI can understand the context and provide targeted device management and data analysis suggestions
Development efficiency: Automatically generate code scripts, reducing manual writing time
Multi-platform support: Compatible with various AI development tools such as Claude Desktop, Cursor, and Windsurf
Secure and controllable: Support analysis tokens to limit access permissions and ensure account security
Limitations
Requires a TagoIO account: You must have a valid TagoIO account and token
Network dependency: Requires a stable network connection to access the TagoIO API
Permission restrictions: Functions are limited by the configured token permissions
Learning curve: Initial configuration requires an understanding of the MCP server concept
How to use
Prepare the environment
Ensure that Node.js version 18+ is installed, and you have a TagoIO account and obtain a valid token.
Choose the installation method
Choose the installation method based on your AI development tool: You can directly send the configuration for Claude Desktop, and use the one-click installation link for VS Code/Cursor.
Configure the MCP server
Add the TagoIO server configuration to the MCP configuration file of your AI tool, and set the token and API endpoint.
Verify the connection
Restart your AI tool and test whether you can access TagoIO resources normally, such as querying the device list.
Usage examples
Device monitoring and alerting
Developers need to monitor the real-time statuses of multiple temperature sensors and receive notifications when anomalies occur.
Data report generation
Project managers need to understand the operating conditions and data trends of all devices in the past week.
Development debugging assistance
Developers encounter problems when writing TagoIO analysis scripts and need debugging help.
Frequently asked questions
Is it safer to use a Profile Token or an Analysis Token?
What should I do if the connection fails?
Which AI development tools are supported?
How to update the server version?
Can I connect multiple TagoIO accounts simultaneously?
Related resources
TagoIO official documentation
Complete TagoIO platform usage guide and API reference
MCP protocol specification
Official specification document of the Model Context Protocol
GitHub repository
Source code and issue feedback for the TagoIO MCP Server
TagoIO community
Exchange experiences and get help with other developers

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