We’re excited to introduce Flow AI, the latest evolution of the Aislelabs platform. Learn More
We’re rolling out new features today, Oct 9, 12:30-3:30 PM EST. Access may be briefly impacted for some users. Check platform status.
We’re excited to introduce Flow AI, the latest evolution of the Aislelabs platform. Learn More
We’re rolling out new features today, Oct 9, 12:30-3:30 PM EST. Access may be briefly impacted for some users. Check platform status.
MCP enables AI tools like Claude to securely access WiFi and location analytics from Aislelabs WiFi Analytics through a consistent protocol. Teams can instantly retrieve real-world data such as foot traffic, dwell time, and zone activity, ensuring AI insights reflect what’s actually happening across physical spaces and support faster, more informed decisions.
MCP support within Aislelabs platform is built with security and privacy at its core. Data access is permission-based and tightly controlled, ensuring AI tools only interact with approved analytics. This helps organizations maintain clear governance, support compliance requirements, and protect sensitive systems as they adopt AI-powered workflows.
MCP helps AI make sense of WiFi and location data by analyzing it alongside other signals. Instead of simply showing traffic changes, AI can help explain why they occur, such as weather conditions, nearby events, or operational factors. This helps teams use WiFi analytics to make better decisions across operations, leasing, experience, and marketing, driving faster response and more measurable impact across the property.
Documentation for Aislelabs’ remote MCP server is available here
If you have feedback, questions, or suggestions about our remote MCP server, please visit our support portal.
MCP uses a consistent protocol designed for AI clients, reducing the need for point-to-point integrations and making it easier to support multiple AI tools over time.
Coming Soon
