MCP server sample travel buddy app hosted on Azure Functions on Azure Container Apps and MCP extension
Getting Started With Remote MCP Servers Using Azure Functions (Python) MCP server is a hosted integration for AI assistants that speak the Model Context Protocol. MCP server sample travel buddy app hosted on Azure Functions on Azure Container Apps and MCP extension.
This is a quickstart template to easily build and deploy a custom remote MCP server to the cloud using Azure Functions with Python. The MCP server is secured by design using keys and HTTPS, and allows more options for OAuth using built-in auth and/or API Management as well as network isolation using VNET.
Being a remote server, there is no local install. You register the endpoint with your client, authorise it once, and the tools appear.
Among the cloud and infrastructure options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by raorugan; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
{
"mcpServers": {
"mcponfunconaca": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/inspector"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
Manage your whole Supabase project in conversation — database, auth, storage, Edge Functions and branches.
Stop letting your assistant hallucinate n8n node parameters — this server hands it the real schemas, templates and validation.
AWS Labs' official server suite — current AWS docs, CDK guidance, cost analysis and service tools.
Cloud browsers for AI agents — automation sessions that run in Browserbase's fleet, not on your machine.
Workers, KV, R2 and D1 by conversation — Cloudflare's official remote servers for building and observability.
Dashboards, Prometheus and Loki queries, incidents and alerts — observability by conversation.