Enable Azure Function MCP endpoints with Python backend for telemetry and action processing #8
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Overview
This PR implements Python-based Azure Functions with MCP (Model Context Protocol) endpoints that enable the pi-chat application to send telemetry requests and action commands to Azure Service Bus topics for asynchronous processing.
Changes
Infrastructure Updates
Service Bus Topics (
infra/modules/serviceBus.bicep
)Telemetry
- Routes sensor telemetry data requestsAction
- Routes device action commandsFunction App Runtime (
infra/modules/functionApp.bicep
)FUNCTIONS_WORKER_RUNTIME
fromnode
topython
Function Implementation
Created a complete Python Azure Functions project in the
functions/
directory with two HTTP-triggered endpoints:GetTelemetry Endpoint (
/api/GetTelemetry
)SendAction Endpoint (
/api/SendAction
)Testing Infrastructure
functions/test_endpoints.sh
) - Automated testing using curlfunctions/test_endpoints.py
) - Automated testing using requests libraryDocumentation
Configuration
Architecture
The functions act as lightweight gateways that:
Security
Testing
All components validated:
Deployment
After merging, deploy using:
Closes #[issue-number]
Warning
Firewall rules blocked me from connecting to one or more addresses (expand for details)
I tried to connect to the following addresses, but was blocked by firewall rules:
aka.ms
bicep build modules/functionApp.bicep
(dns block)bicep build main.bicep
(dns block)If you need me to access, download, or install something from one of these locations, you can either:
Original prompt
Fixes #3
💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.