Azure Dev Server
A remote MCP server that provides full filesystem and shell access to a cloud-hosted environment via HTTPS, enabling Claude Desktop to read, write, edit, search files, and execute commands on a remote Azure machine.
README
⚠️ DEPRECATED — This repository has been consolidated into the
datacoremonorepo atpackages/dev-server. This repo is archived and no longer maintained. All future development happens in the monorepo.
azure-dev-server
Remote MCP server that gives Claude Desktop full filesystem and shell access over HTTPS — a cloud-hosted Desktop Commander running on Azure Container Apps.
What it does
Exposes 8 MCP tools so Claude Desktop can read, write, edit, search, and run commands on a remote machine:
| Tool | Description |
|---|---|
ping |
Health check |
read_file |
Read a file with line numbers |
write_file |
Write or append to a file |
edit_file |
Surgical find-and-replace (single occurrence) |
search_files |
Grep across a directory with optional file pattern |
list_directory |
List files/dirs with recursion depth |
run_command |
Execute a shell command, returns stdout/stderr |
get_file_info |
File metadata (size, type, modified time) |
Why it exists
Claude Desktop's built-in Desktop Commander only works locally. This project gives Claude Desktop the same capabilities on a remote Azure machine — useful when the workspace lives in the cloud or needs to be shared across devices.
Quickstart (local)
git clone https://github.com/david3xu/azure-dev-server.git
cd azure-dev-server
pnpm install
pnpm run build
MCP_API_KEY=your-key WORKSPACE=/path/to/your/workspace pnpm start
Health check:
curl http://localhost:3001/health
Connect to the live instance
The server runs at:
https://ca-dev-server.purplegrass-77b8c839.australiaeast.azurecontainerapps.io
Cursor
Add to ~/.cursor/mcp.json:
{
"mcpServers": {
"azure-dev": {
"url": "https://ca-dev-server.purplegrass-77b8c839.australiaeast.azurecontainerapps.io/mcp",
"headers": {
"x-api-key": "<your-api-key>"
}
}
}
}
Reload the window (Cmd+Shift+P → "Reload Window") — the 8 tools appear in the MCP panel.
VSCode + GitHub Copilot
Add to .vscode/mcp.json (per workspace) or user settings.json:
{
"mcp": {
"servers": {
"azure-dev": {
"type": "http",
"url": "https://ca-dev-server.purplegrass-77b8c839.australiaeast.azurecontainerapps.io/mcp",
"headers": {
"x-api-key": "<your-api-key>"
}
}
}
}
}
Claude Desktop
Claude Desktop only supports stdio transport, so use mcp-remote as an HTTP bridge.
Create ~/Library/Application Support/Claude/azure-dev-mcp-bridge.sh:
#!/bin/zsh
set -euo pipefail
exec /opt/homebrew/bin/npx -y mcp-remote \
"https://ca-dev-server.purplegrass-77b8c839.australiaeast.azurecontainerapps.io/mcp" \
--transport http-first \
--header "x-api-key:<your-api-key>"
Then add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"azure-dev": {
"command": "/bin/zsh",
"args": ["/Users/<you>/Library/Application Support/Claude/azure-dev-mcp-bridge.sh"]
}
}
}
Restart Claude Desktop (Cmd+Q, reopen).
Terminal (interactive shell inside the container)
Requires Azure CLI.
Step 1 — Add the alias to your shell profile (once):
echo "alias azure-dev-shell='az containerapp exec \\
--name ca-dev-server \\
--resource-group rg-datacore \\
--command bash'" >> ~/.zshrc
Step 2 — Load it in your current terminal:
source ~/.zshrc
Step 3 — Connect:
azure-dev-shell
You will see INFO: Successfully connected to container: 'ca-dev-server' and a shell prompt.
Tips inside the container:
clearis not available — useCtrl+Linstead- The prompt may show
sh-5.2#— runbashto switch to a full Bash session/workspaceis the Azure Files mount — files written here persist across restarts- Exit with
Ctrl+D
Verify the connection
After connecting via any client, run these tools in order:
ping— should return"alive — workspace: /workspace"list_directorywithpath: "/"— lists the workspace rootwrite_filethenread_file— confirms read/write access
Environment variables
| Variable | Required | Default | Description |
|---|---|---|---|
MCP_API_KEY |
Yes | dev-key-change-me |
API key sent in x-api-key header |
WORKSPACE |
No | process.cwd() |
Root directory for all file operations |
PORT |
No | 3001 |
HTTP port |
Deploy to Azure Container Apps
Requires Azure CLI. No local Docker needed — image is built in the cloud:
# One-time setup
az group create --name rg-datacore --location australiaeast
az acr create --name acrdevserver --resource-group rg-datacore --sku Basic --admin-enabled true
az containerapp env create --name cae-dev-server --resource-group rg-datacore --location australiaeast
# Build + deploy
az acr build --registry acrdevserver --image azure-dev-server:latest --file Dockerfile .
ACR_PASS=$(az acr credential show --name acrdevserver --query "passwords[0].value" -o tsv)
az containerapp create \
--name ca-dev-server \
--resource-group rg-datacore \
--environment cae-dev-server \
--image acrdevserver.azurecr.io/azure-dev-server:latest \
--registry-server acrdevserver.azurecr.io \
--registry-username acrdevserver \
--registry-password "$ACR_PASS" \
--target-port 3001 --ingress external \
--min-replicas 1 --max-replicas 3 \
--cpu 0.5 --memory 1.0Gi \
--env-vars "MCP_API_KEY=<your-key>" "NODE_ENV=production" "PORT=3001" "WORKSPACE=/workspace"
Re-deploy after code changes:
az acr build --registry acrdevserver --image azure-dev-server:latest --file Dockerfile .
az containerapp update --name ca-dev-server --resource-group rg-datacore \
--image acrdevserver.azurecr.io/azure-dev-server:latest
Development
pnpm run check # format + lint + type-check + build + test (all layers)
pnpm run test # tests only
pnpm run format # auto-format src/ and tests/
All 7 constraint layers active: CI → pre-commit hook → ESLint → TypeScript strict → tests → Prettier → Zod schemas.
Tech stack
@modelcontextprotocol/sdk— Streamable HTTP transport- Express 5 — HTTP server
- Zod — input validation on all tools
- TypeScript strict mode, Node.js 22, pnpm
License
MIT
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.