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Dexter LaBora's Projects

meraki-firebase-splash-vue icon meraki-firebase-splash-vue

A Cisco Meraki Captive Portal with VueJS and Google Firebase. Uses Firebase Authentication, Hosting, Databse and Functions for advanced API functionality.

meraki-gsheets-webhook-workflow icon meraki-gsheets-webhook-workflow

A Google Sheets script to capture Meraki webhooks. It then adds a workflow to reboot devices when a VPN connection has failed for some timespan.

meraki-ionic-app icon meraki-ionic-app

An Ionic 2 based mobile app for the Meraki Dashboard API. It attempts to demonstrate the various possibilities with the API. This is a work in progress.

meraki-mews-splash icon meraki-mews-splash

A Cisco Meraki Captive Portal with VueJS using the MEWS API for hospitatlity integrations

meraki-mr-mqtt-location-demo icon meraki-mr-mqtt-location-demo

A Meraki MR MQTT Location demo to show real-time mapping and telemetry. Connect to an MQTT broker via websocket to get started.

meraki-node-sdk icon meraki-node-sdk

Node SDK generated from the Cisco Meraki API OpenAPI specification via APImatic. - Dev Only

meraki-service icon meraki-service

A Cisco Meraki Dashboard API service library. Handles API keys, redirects, and exposes methods for the most popular endpoints, and can act as a proxy.

meraki-service-scripts icon meraki-service-scripts

A collection of scripts to interact with the custom meraki-service library for the Cisco Meraki platform.

meraki-swapper icon meraki-swapper

A tool to swap Meraki switches. Copy settings from source and clone them to an existing switch in the network or inventory.

merakicaptiveportal-firebasedb icon merakicaptiveportal-firebasedb

A Meraki Captive Portal demo, which performs all client login logic within the public HTML/JS pages. The login data will be saved into a Google Firebase DB

merakilocationreceiver_gcpfirestore icon merakilocationreceiver_gcpfirestore

A Cisco Meraki Location API receiver designed for the Google Cloud Platform. The service uses a server-less cloud function to interact with the Meraki API and then store the data into the Firestore database.

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