Conversation
There was a problem hiding this comment.
Pull request overview
Adds an MCP (Model Context Protocol) server alongside the existing web app to enable AI clients to search an Azure AI Search image index and display images via an embedded carousel UI, plus infrastructure updates to deploy the MCP server and (optionally) enrich the index with Azure OpenAI-generated image descriptions.
Changes:
- Introduces a FastMCP server with
image_searchanddisplay_image_filestools, plus an HTML carousel “app” resource. - Extends the indexing pipeline to optionally generate and store
verbalized_imagedescriptions viaChatCompletionSkill. - Updates Azure infrastructure (Bicep + azd service definitions) to deploy an MCP Container App and wire permissions/outputs.
Reviewed changes
Copilot reviewed 18 out of 18 changed files in this pull request and generated 10 comments.
Show a summary per file
| File | Description |
|---|---|
| infra/main.parameters.json | Adds MCP/OpenAI-related deployment parameters. |
| infra/main.bicep | Deploys MCP container app, OpenAI account/deployment, and role assignments; adds new outputs. |
| infra/core/host/container-app.bicep | Adds support for exposing additional ingress ports. |
| infra/core/host/container-app-upsert.bicep | Plumbs additionalPorts through the upsert module. |
| infra/aca-mcp.bicep | New module defining the MCP Container App + managed identity. |
| azure.yaml | Registers a new mcp service built from Dockerfile.mcp. |
| app/frontend/src/components/SearchResults/SearchResults.tsx | Loads real image dimensions before rendering the gallery. |
| app/backend/setup_search_service.py | Adds verbalized_image field and optional OpenAI chat completion skill. |
| app/backend/requirements.txt | Adds FastMCP + Pillow and bumps Azure/Python deps. |
| app/backend/mcp_server.py | New FastMCP server implementing search + carousel display tools. |
| app/backend/image-viewer.html | New carousel UI rendered as an MCP App resource. |
| app/backend/app.py | Updates vector query parameter name for the Azure SDK. |
| app/backend/Dockerfile.mcp | New container image definition for the MCP server. |
| README.md | Documents MCP server usage and indexing pipeline. |
| .vscode/mcp.json | Adds local and Azure MCP server endpoints for VS Code. |
| .agents/skills/convert-heic-to-jpeg/convert_heic_to_jpeg.py | Adds a utility script to convert HEIC/HEIF images to JPEG. |
| .agents/skills/convert-heic-to-jpeg/SKILL.md | Documents running the HEIC→JPEG conversion skill via uv run. |
Comments suppressed due to low confidence (2)
app/backend/mcp_server.py:155
fetch_image_bytescreates a newaiohttp.ClientSessionfor every image fetch. This is expensive and can exhaust sockets under load; prefer a single shared session (or use the Azure Blob SDK) with timeouts and reuse across requests, closing it on server shutdown.
"""Infer MIME type for supported image formats from blob filename."""
image_format = get_image_format(filename)
mime_type = (
"image/jpeg" if image_format in {"jpg", "jpeg"} else f"image/{image_format}"
)
if mime_type in ALLOWED_IMAGE_MIME_TYPES:
return mime_type
app/backend/Dockerfile.mcp:12
- Build toolchains (
gcc,musl-dev,python3-dev,cargo, etc.) are installed in the sharedbasestage, so they end up in the final runtime image too. Move build-only dependencies into thebuildstage and keep thefinalstage minimal to reduce image size and attack surface.
# ------------------- Stage 0: Base Stage ------------------------------
FROM python:3.11-alpine AS base
WORKDIR /code
# Install tini, a tiny init for containers
RUN apk add --update --no-cache tini
# Install required packages for cryptography package
# https://cryptography.io/en/latest/installation/#building-cryptography-on-linux
RUN apk add gcc musl-dev python3-dev libffi-dev openssl-dev cargo pkgconfig
💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.
There was a problem hiding this comment.
Pull request overview
Copilot reviewed 18 out of 18 changed files in this pull request and generated 7 comments.
💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.
There was a problem hiding this comment.
Pull request overview
Copilot reviewed 18 out of 18 changed files in this pull request and generated 2 comments.
💡 Add Copilot custom instructions for smarter, more guided reviews. Learn how to get started.
mattgotteiner
approved these changes
Mar 10, 2026
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Summary
This PR adds an MCP (Model Context Protocol)
server to the project, enabling AI assistants and agents (e.g. VS Code GitHub Copilot) to search and display images from the Azure AI Search index.
Changes
MCP server (
app/backend/mcp_server.py)image_search– searches the Azure AI Search index using vector embeddings; returns 256×256 thumbnails (via Pillow) to keep LLM context token usage lowdisplay_image_files– fetches one or more images from blob storage and renders them in a carousel MCP App iframeMCP App (
app/backend/image-viewer.html)Infrastructure
app/backend/Dockerfile.mcp– container image for the MCP serverinfra/aca-mcp.bicep– Azure Container Apps definition for the MCP serverinfra/main.bicep/infra/main.parameters.json– wired up MCP server deploymentDependencies
Pillow>=11.0.0torequirements.txtfor thumbnail resizingOther
app/backend/setup_search_service.py– updated to upload images frompictures/clothes/and optionally generate image descriptions viaChatCompletionSkillapp/frontend– search results now display image descriptionsREADME.md– updated to describe the MCP server, its tools, local run instructions, and how the indexer pipeline works.vscode/mcp.json– MCP server configuration for local development.agents/skills/convert-heic-to-jpeg/– agent skill for converting HEIC photos to JPEG before indexing