No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Azure-Samples · MCP Server · ★ 123
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is remote-mcp-functions-python safe to install? View the security audit →
Getting Started with Remote MCP Servers using Azure Functions (Python) This is a quickstart template to easily build and deploy a custom remote MCP server to the cloud using Azure Functions with Python. You can clone/restore/run on your local machine with debugging, and to have it in the cloud in a couple minutes. The MCP server is configured with built-in authentication using Microsoft Entra as the identity provider. You can also use API Management to secure the server, as well as network isolation using VNET. If you're looking for this sample in more languages check out the .NET/C# and Node.js/TypeScript versions. Below is the architecture diagram for the Remote MCP Server using Azure Functions: Prerequisites [Python]
| Stars | 123 |
| Forks | 80 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 75.9339767544876/100 |
| Open Issues | 12 |
| Last Updated | 2026-06-01 |
| Created | 2025-04-03 |
| Platforms | mcp, python |
| Est. Tokens | ~62k |
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remote-mcp-functions-python is Getting Started with Remote MCP Servers using Azure Functions (Python). It is categorized as a MCP Server with 123 GitHub stars.
remote-mcp-functions-python is primarily written in Python. It covers topics such as azure-functions, azure-functions-python, mcp.
You can find installation instructions and usage details in the remote-mcp-functions-python GitHub repository at github.com/Azure-Samples/remote-mcp-functions-python. The project has 123 stars and 80 forks, indicating an active community.
remote-mcp-functions-python is released under the MIT license, making it free to use and modify according to the license terms.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: