2,500+ MCP servers ready to use
Vinkius

PurpleAir MCP Server for Claude Code 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools CLI

Claude Code is Anthropic's agentic CLI for terminal-first development. Add PurpleAir as an MCP server in one command and Claude Code will discover every tool at runtime. ideal for automation pipelines, CI/CD integration, and headless workflows via Vinkius.

Vinkius supports streamable HTTP and SSE.

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install PurpleAir and 2,500+ MCP Servers from a single visual interface.

Vinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop InterfaceVinkius Desktop Interface
Download Free Open SourceNo signup required
Classic Setup·bash
# Your Vinkius token. get it at cloud.vinkius.com
claude mcp add purpleair --transport http "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
PurpleAir
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About PurpleAir MCP Server

Access the world's largest hyperlocal air quality dataset through PurpleAir — a global network of over 50,000 low-cost air quality sensors measuring PM2.5, PM10.0, temperature, humidity, pressure, and more. Connect PurpleAir to your AI agent to monitor real-time air quality, track wildfire smoke, analyze pollution trends, and access historical data for any location — all through natural conversation.

Claude Code registers PurpleAir as an MCP server in a single terminal command. Once connected, Claude Code discovers all 10 tools at runtime and can call them headlessly. ideal for CI/CD pipelines, cron jobs, and automated workflows where PurpleAir data drives decisions without human intervention.

What you can do

  • Real-Time Air Quality — Get current PM2.5 readings from sensors near any address or coordinate.
  • Historical Analysis — Retrieve time-series data for trend analysis, pollution events, and compliance reporting.
  • Geographic Mapping — Find all sensors within a bounding box for city-wide or regional air quality mapping.
  • Wildfire Smoke Tracking — Monitor PM2.5 spikes during wildfire events across affected areas.
  • Indoor Air Quality — Access indoor sensor data for workplace health and HVAC optimization.
  • CSV Export — Download historical data in CSV format for spreadsheet analysis.
  • Location-Based Queries — Find the closest sensor to any GPS coordinate.
  • Sensor Filtering — Filter sensors by type (indoor/outdoor), fields, and update recency.

The PurpleAir MCP Server exposes 10 tools through the Vinkius. Connect it to Claude Code in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect PurpleAir to Claude Code via MCP

Follow these steps to integrate the PurpleAir MCP Server with Claude Code.

01

Install Claude Code

Run npm install -g @anthropic-ai/claude-code if not already installed

02

Add the MCP Server

Run the command above in your terminal

03

Verify the connection

Run claude mcp to list connected servers, or type /mcp inside a session

04

Start using PurpleAir

Ask Claude: "Using PurpleAir, show me...". 10 tools are ready

Why Use Claude Code with the PurpleAir MCP Server

Claude Code provides unique advantages when paired with PurpleAir through the Model Context Protocol.

01

Single-command setup: `claude mcp add` registers the server instantly. no config files to edit or applications to restart

02

Terminal-native workflow means MCP tools integrate seamlessly into shell scripts, CI/CD pipelines, and automated DevOps tasks

03

Claude Code runs headlessly, enabling unattended batch processing using PurpleAir tools in cron jobs or deployment scripts

04

Built by the same team that created the MCP protocol, ensuring first-class compatibility and the fastest adoption of new protocol features

PurpleAir + Claude Code Use Cases

Practical scenarios where Claude Code combined with the PurpleAir MCP Server delivers measurable value.

01

CI/CD integration: embed PurpleAir tool calls in your deployment pipeline to validate configurations or fetch secrets before shipping

02

Headless batch processing: schedule Claude Code to query PurpleAir nightly and generate reports without human intervention

03

Shell scripting: pipe PurpleAir outputs into other CLI tools for data transformation, filtering, and aggregation

04

Infrastructure monitoring: run Claude Code in a cron job to query PurpleAir status endpoints and alert on anomalies

PurpleAir MCP Tools for Claude Code (10)

These 10 tools become available when you connect PurpleAir to Claude Code via MCP:

01

get_indoor_sensors

These sensors measure air quality inside buildings, homes, and enclosed spaces. Useful for indoor air quality assessments, HVAC monitoring, and workspace health studies. Get all indoor PurpleAir sensors

02

get_outdoor_sensors

These are sensors measuring ambient outdoor air quality. Returns current PM2.5, temperature, humidity and other measurements for each sensor. Useful for regional air quality monitoring, wildfire smoke tracking, and urban pollution studies. Get all outdoor (outside) PurpleAir sensors

03

get_pm25_sensors

5 (fine particulate matter) measurements. PM2.5 is the most important air quality indicator — particles smaller than 2.5 micrometers that can penetrate deep into lungs and bloodstream. Returns current PM2.5 concentrations along with location data. Essential for health advisories, wildfire smoke tracking, and urban pollution monitoring. Get sensors with PM2.5 measurements

04

get_sensor_data

Returns PM2.5, PM1.0, PM10.0 particle concentrations, temperature, humidity, pressure, VOC levels, and other measurements depending on the sensor model. Use the fields parameter to specify which measurements to return. Essential for monitoring air quality at a specific location. Get real-time data from a specific PurpleAir sensor

05

get_sensor_history

Returns time-series data for the requested fields (PM2.5, temperature, humidity, etc.) at regular intervals. Use start_timestamp and end_timestamp (Unix timestamps) to define the time range. The average parameter controls data aggregation (e.g. 60 for 1-minute averages, 3600 for hourly). Essential for analyzing air quality trends, identifying pollution events, and compliance reporting. Get historical air quality data from a PurpleAir sensor

06

get_sensor_history_csv

Same functionality as get_sensor_history but returns data as CSV instead of JSON. Use for offline analysis, charting, or compliance reporting. Requires start_timestamp and end_timestamp parameters. Get historical sensor data in CSV format for analysis

07

get_sensors_by_bounding_box

Provide the northwest (nwlat, nwlng) and southeast (selat, selng) corner coordinates. Perfect for mapping air quality across a city, neighborhood, or region. Returns all sensors in the area with current readings. Use with fields parameter to customize returned data. Get all sensors within a geographic bounding box

08

get_sensors_by_index

Provide comma-separated sensor indices in the show_only parameter. Useful when you already know the sensor indices from a previous query and want to get fresh readings without fetching all sensors. Get data for specific sensor(s) by their indices

09

get_sensors_near_me

Internally uses a bounding box around the point to find nearby sensors. Useful for identifying the closest PurpleAir monitor to any address or coordinate. Returns sensors sorted by proximity with current air quality readings. Find PurpleAir sensors near a specific location

10

list_sensors

Use the location_type parameter to filter by sensor type (outside=0, inside=1). Use the fields parameter to specify which data fields to return (e.g. name,latitude,longitude,pm2.5_atm,temperature,humidity). By default returns basic sensor info. Use show_only to filter by specific sensor indices (comma-separated). Use modified_since (Unix timestamp) to get only sensors updated after a specific time. Results include sensor metadata and real-time air quality measurements. List PurpleAir air quality sensors with optional filters

Example Prompts for PurpleAir in Claude Code

Ready-to-use prompts you can give your Claude Code agent to start working with PurpleAir immediately.

01

"What's the air quality near San Francisco right now?"

02

"Show me the PM2.5 trend for sensor 12345 over the last 24 hours."

03

"Find all outdoor sensors in Los Angeles and show me their PM2.5 readings."

Troubleshooting PurpleAir MCP Server with Claude Code

Common issues when connecting PurpleAir to Claude Code through the Vinkius, and how to resolve them.

01

Command not found: claude

Ensure Claude Code is installed globally: npm install -g @anthropic-ai/claude-code
02

Connection timeout

Check your internet connection and verify the Edge URL is reachable

PurpleAir + Claude Code FAQ

Common questions about integrating PurpleAir MCP Server with Claude Code.

01

How do I add an MCP server to Claude Code?

Run claude mcp add --transport http "" in your terminal. Claude Code registers the server and discovers all tools immediately.
02

Can Claude Code run MCP tools in headless mode?

Yes. Claude Code supports non-interactive execution, making it ideal for scripts, cron jobs, and CI/CD pipelines that need MCP tool access.
03

How do I list all connected MCP servers?

Run claude mcp in your terminal to see all registered servers and their status, or type /mcp inside an active Claude Code session.

Connect PurpleAir to Claude Code

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.