NoiseMeters API Connector for AI agents.
4 live capabilities
Track real-time decibel levels and audit environmental noise data.
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Why people use NoiseMeters API
NoiseMeters for Automated Acoustic Compliance Auditing
With this Connector, your agent does the searching. You just ask for the noise history of a specific site, and it pulls the data directly into your conversation. You get a clear picture of noise patterns without ever leaving your chat window.
What Vinkius changes
You get a direct line to your noise data without the manual clicking.
Use it from Claude, ChatGPT, Cursor or another AI client you already have.
One account · 6,100+ Connectors
- Real-world use case 01
Factory Compliance Auditing
An engineer asks the agent if the south plant exceeded 85dB during the night shift and gets a precise report using get_live_noise_data.
- Real-world use case 02
Urban Planning Research
An urban planner looks for historical noise markers in a specific neighborhood to plan a new zone using get_noise_measurements.
- Real-world use case 03
Worker Safety Verification
A health lead asks for a summary of noise levels at a construction site over the last 48 hours to ensure worker safety.
Complete set · 4capabilities
The complete NoiseMeters API capability set.
These are the exact actions your AI can choose when you ask it to work with NoiseMeters API.
01—04
4 capabilities in this set.
Part of 4 available through NoiseMeters API.
- 01 Capability
Check api status
Check if the NoiseMeters service is currently online and responding. This ensures your data connection is active before you start a heavy audit.
- 02 Capability
Get live noise data
Fetch the current decibel level from a specific monitoring instrument. You can use this to see if a site is currently exceeding its limits.
- 03 Capability
Get noise measurements
Retrieve a list of past noise readings for a specific sensor. This helps you identify peak noise times over weeks or months.
- 04 Capability
List noise instruments
See every noise monitoring device registered under your account. Use this to keep a clear inventory of all your active acoustic sensors.
Set up in minutes
One URL. Then ask NoiseMeters API to work.
Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use NoiseMeters API from the conversation.
Choose your client
Live previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_fxXMpRiZJOomo0Xu0GjAdxFZuWsnlLxi0iKo7MNF/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it NoiseMeters API, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable NoiseMeters API for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_fxXMpRiZJOomo0Xu0GjAdxFZuWsnlLxi0iKo7MNF/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the NoiseMeters API URL.
- Step 03
Save and start
Save the connection and enable NoiseMeters API in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"noisemeters-api": {
"url": "https://edge.vinkius.com/vk_preview_fxXMpRiZJOomo0Xu0GjAdxFZuWsnlLxi0iKo7MNF/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using NoiseMeters API
Open Agent mode in chat and ask: "Using NoiseMeters API, help me...". 4 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"noisemeters-api": {
"url": "https://edge.vinkius.com/vk_preview_fxXMpRiZJOomo0Xu0GjAdxFZuWsnlLxi0iKo7MNF/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using NoiseMeters API
Ask Copilot: "Using NoiseMeters API, help me...". 4 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"noisemeters-api": {
"url": "https://edge.vinkius.com/vk_preview_fxXMpRiZJOomo0Xu0GjAdxFZuWsnlLxi0iKo7MNF/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using NoiseMeters API
Open Cascade and ask: "Using NoiseMeters API, help me...". 4 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"noisemeters-api": {
"url": "https://edge.vinkius.com/vk_preview_fxXMpRiZJOomo0Xu0GjAdxFZuWsnlLxi0iKo7MNF/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using NoiseMeters API
Ask Cline: "Using NoiseMeters API, help me...". 4 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add noisemeters-api --transport http "https://edge.vinkius.com/vk_preview_fxXMpRiZJOomo0Xu0GjAdxFZuWsnlLxi0iKo7MNF/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using NoiseMeters API
Ask Claude: "Using NoiseMeters API, show me...". 4 tools are ready
Where the request belongs
Work NoiseMeters can move forward.
The environmental engineer who's tired of manual data entry or the safety lead who needs to know if a site is exceeding noise limits right now.
Environmental Engineer
Monitoring site compliance and pulling official metadata for industrial audits.
Occupational Health Lead
Verifying worker exposure levels and auditing noise patterns without manual searching.
Urban Planner
Performing rapid audits of city sound levels and identifying acoustic markers.
Operations Lead
Automating acoustic data queries to coordinate safety teams during construction.
Build the capability set
Add more capabilities.
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Generate high-fidelity digital audio waveforms and noise profiles.
Bring your own AI
Change the model, client or framework. Keep NoiseMeters connected.
-
Claude -
ChatGPT -
Gemini -
Cursor -
VS Code -
Windsurf -
ZCode -
Cline -
Zed -
Continue -
Kiro -
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Chorus -
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CrewAI -
Vercel AI SDK
Before you connect
Questions about NoiseMeters.
The practical details behind the request, access and result.
Can NoiseMeters MCP help with industrial noise compliance?
Yes, it allows your agent to pull real-time decibel levels and historical data, making it much easier to verify that your sites are staying within legal limits.
How does NoiseMeters MCP work with urban planning?
It enables you to query historical noise markers and city sound levels through natural language, helping you identify acoustic patterns for new development zones.
Can I use NoiseMeters MCP to see all my sensors at once?
Yes, you can ask your agent to list all registered instruments in your account to get a complete view of your monitoring hardware.
Does NoiseMeters MCP provide live decibel updates?
It does. Your agent can fetch the most recent real-time noise level from any specific instrument in your catalog whenever you ask.
Is NoiseMeters MCP good for worker safety audits?
It's excellent for this. You can quickly audit noise patterns and historical exposure levels to ensure workers are staying within safe decibel ranges.
How do I get historical noise data with NoiseMeters MCP?
You simply ask your agent to retrieve historical measurements for a specific instrument. It will pull the data and summarize the trends for you.
How do I find my NoiseMeters API Key?
Log in to your NoiseMeters dashboard, and you will find your API Key under your account or integrations section. Copy and paste it below.
Does it support real-time sound levels?
Yes. The get_live_noise_data capability provides the most recent decibel measurement received from the specified instrument ID.
Can the agent list my monitoring instruments?
Yes. The list_noise_instruments capability retrieves all noise monitoring devices registered in your account with their unique identifiers and names.
One connection away
Give your agent a direct line to NoiseMeters.
Connect NoiseMeters once. Keep it beside 6,100+ managed Connectors when the next task needs more.
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