Cumulocity MCP Server
About
Access the Cumulocity IoT platform to manage devices, measurements, and alarms.
Details
- Author
- cumulocity-iot
- GitHub stars
- 8
- Downloads
- 174
- Categories
- Cloud Service, Other, Infrastructure
- Tags
- #iot, #data-analysis
Jump to
- List and filter devices with pagination options
- Retrieve detailed device, child device, and fragment data
- Fetch device measurements with ISO 8601 time filtering
- Monitor active alarms filtered by severity
- Evaluate JSONata expressions against JSON objects
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Cumulocity MCP ServerCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Building The Microservice Deployment Package
- Ensure you have Docker and zip installed on your system.
- Run the provided build script to create the deployment package:
- Build the Docker image for the microservice
- Save the image asimage.tarin thedocker/directory
- Packageimage.tarandcumulocity.jsonintodocker/mcp-server-c8y.zip
- Log in to your Cumulocity tenant as a user with microservice deployment permissions.
- Navigate toAdministration > Ecosystem > Microservices.
- ClickAdd microserviceand upload themcp-server-c8y.zipfile from thedocker/directory.
- Wait for the microservice to be deployed and started. You should see its status as "Available" once ready.
- The microservice will be accessible under your tenant's service URL, typically:https://<your-tenant>.cumulocity.com/service/mcp-server-c8y/mcp/
For more details on Cumulocity microservice deployment, see the](https://docs.astral.sh/uv/guides/tools/)official documentation.
This MCP Server can be used with Claude Desktop to enable Claude to interact with your Cumulocity IoT platform. Follow these steps to set it up:
Configure Claude Desktop to use this MCP Server:
- Open Claude Desktop
- Click on the Claude menu and select "Settings..."
- Navigate to "Developer" in the left-hand bar
- Click "Edit Config"
Add the following configuration to yourclaude_desktop_config.json:
"mcpServers": { "mcp-c8y": { "command": "uvx", "args": [ "mcp-server-c8y", "--transport", "stdio" ], "env": { "C8Y_BASEURL": "https://your-cumulocity-instance.com", "C8Y_TENANT": "your-tenant-id", "C8Y_USER": "<your-username>", "C8Y_PASSWORD": "<your-password>" } } }
Replace the following placeholders with your actual values:
- https://your-cumulocity-instance.com: Your Cumulocity instance URL
- your-tenant-id: Your Cumulocity tenant ID
- your-username: Your Cumulocity username
- your-password: Your Cumulocity password
You should now see a hammer icon in the bottom right corner of the input box. Click it to see the available Cumulocity tools.
For more detailed information about using MCP Servers with Claude Desktop, visit theofficial MCP documentation.
If you are using Cursor and have deployed your MCP Server to a Cumulocity tenant, you can configure your MCP server connection with a.cursor/mcp.jsonfile. Example (with sensitive data anonymized):
{ "mcpServers": { "Cumulocity": { "url": "https://your-cumulocity-instance.com/service/mcp-server-c8y/mcp/", "headers": { "Authorization": "Basic <YOUR_BASE64_AUTH_TOKEN>" } } } }
- https://your-cumulocity-instance.com: Your Cumulocity instance URL
- Replace<YOUR_BASE64_AUTH_TOKEN>with your actual Base64-encoded credentials. Never commit real credentials to version control.
We welcome contributions from everyone! Here's how you can contribute to this project:
- Fork the repository
- Create a new branch for your feature or bugfix
- Make your changes following these best practices:
- Write clear, descriptive commit messages
- Follow the existing code style and conventions
- Add tests for new features
- Update documentation as needed
- Ensure all tests pass
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Paste into your MCP client config file to install this server.
{
"mcpServers": {
"cumulocity mcp server": {
"cumulocity-mcp-server": {
"command": "python",
"args": [
"-m",
"mcp_server_c8y"
]
}
}
}
}
McpServers
{
"cumulocity-mcp-server": {
"command": "python",
"args": [
"-m",
"mcp_server_c8y"
]
}
}
A Python-based server that provides Cumulocity IoT platform functionality through the MCP (Model Control Protocol) interface. This server enables seamless interaction with Cumulocity's device management, measurements, and alarm systems.
- List and filter devices
- Parameters:
- type: Filter by device type
- name: Filter by device name
- page_size: Results per page (max 2000)
- current_page: Page number
- Retrieve detailed information for a specific device
- Parameter:
- device_id: Device identifier
- View child devices of a specific device
- Parameter:
- device_id: Parent device identifier
- Access device fragments and their values
- Parameter:
- device_id: Device identifier
- Retrieve device measurements with time filtering
- Parameters:
- device_id: Device identifier
- date_from: Start date (ISO 8601 format)
- date_to: End date (ISO 8601 format)
- page_size: Number of measurements to retrieve
- Monitor active alarms in the system
- Parameters:
- severity: Filter by severity level
- page_size: Number of results to retrieve
evaluate_jsonata_expressionEvaluate a JSONata expression against a given JSON object.
Input: A JSON object as string and a JSONata expression string. Output: Result of the JSONata expression evaluation.
When usinguvno specific installation is needed for this package. We will useuvxto directly runmcp-server-c8y.
Alternatively you can installmcp-server-c8yvia pip:
After installation, you can run it as a script using:
You can deploy this server as a Cumulocity microservice for direct integration with your tenant. This is done by uploading a special deployment package (mcp-server-c8y.zip) to your Cumulocity tenant.
Building the Microservice Deployment Package
- Ensure you have Docker and zip installed on your system. - Run the provided build script to create the deployment package:- Build the Docker image for the microservice
- Save the image asimage.tarin thedocker/directory
- Packageimage.tarandcumulocity.jsonintodocker/mcp-server-c8y.zip
- Log in to your Cumulocity tenant as a user with microservice deployment permissions.
- Navigate toAdministration > Ecosystem > Microservices.
- ClickAdd microserviceand upload themcp-server-c8y.zipfile from thedocker/directory.
- Wait for the microservice to be deployed and started. You should see its status as "Available" once ready.
- The microservice will be accessible under your tenant's service URL, typically:https://<your-tenant>.cumulocity.com/service/mcp-server-c8y/mcp/
For more details on Cumulocity microservice deployment, see theofficial documentation.
This MCP Server can be used with Claude Desktop to enable Claude to interact with your Cumulocity IoT platform. Follow these steps to set it up:
Configure Claude Desktop to use this MCP Server:
- Open Claude Desktop
- Click on the Claude menu and select "Settings..."
- Navigate to "Developer" in the left-hand bar
- Click "Edit Config"
Add the following configuration to yourclaude_desktop_config.json:
"mcpServers": { "mcp-c8y": { "command": "uvx", "args": [ "mcp-server-c8y", "--transport", "stdio" ], "env": { "C8Y_BASEURL": "https://your-cumulocity-instance.com", "C8Y_TENANT": "your-tenant-id", "C8Y_USER": "<your-username>", "C8Y_PASSWORD": "<your-password>" } } }
Replace the following placeholders with your actual values:
- https://your-cumulocity-instance.com: Your Cumulocity instance URL
- your-tenant-id: Your Cumulocity tenant ID
- your-username: Your Cumulocity username
- your-password: Your Cumulocity password
You should now see a hammer icon in the bottom right corner of the input box. Click it to see the available Cumulocity tools.
For more detailed information about using MCP Servers with Claude Desktop, visit theofficial MCP documentation.
If you are using Cursor and have deployed your MCP Server to a Cumulocity tenant, you can configure your MCP server connection with a.cursor/mcp.jsonfile. Example (with sensitive data anonymized):
{ "mcpServers": { "Cumulocity": { "url": "https://your-cumulocity-instance.com/service/mcp-server-c8y/mcp/", "headers": { "Authorization": "Basic <YOUR_BASE64_AUTH_TOKEN>" } } } }
- https://your-cumulocity-instance.com: Your Cumulocity instance URL
- Replace<YOUR_BASE64_AUTH_TOKEN>with your actual Base64-encoded credentials. Never commit real credentials to version control.
We welcome contributions from everyone! Here's how you can contribute to this project:
- Fork the repository
- Create a new branch for your feature or bugfix
- Make your changes following these best practices:
- Write clear, descriptive commit messages
- Follow the existing code style and conventions
- Add tests for new features
- Update documentation as needed
- Ensure all tests pass
Digi Remote Manager MCP allows users to connect Ai Agents to their Digi Remote Manager account for analyzing fleet data and help with troubleshooting.
Interact with Bigeye's data quality monitoring platform via its Datawatch API. Supports dynamic API key authentication.
Interact with the Flespi telematics platform API for fleet management, device tracking, and telemetry data processing.
A read-only API for querying and retrieving contextual information about devices and fleets using the Flight Control MCP server.
Enables LLMs and intelligent systems to interact with Litmus Edge for device configuration, monitoring, and management.
Interact with your TagoIO account to access devices, data, and platform resources for development and intelligent data analysis.
MCP server that exposes Ubidots IoT data, entities, and aggregations for AI assistants.
Allows easy local access to air-Q devices for retrieving air quality data
Blynk's MCP server lets AI coding tools create device templates, manage devices, and read live sensor data on the Blynk IoT platform
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