Remote MCP Apim Functions Python
R

Remote MCP Apim Functions Python

Use Azure API Management as the AI gateway for MCP servers to achieve secure access to remote MCP servers and support the latest MCP authorization specification.
2.5 points
7.8K

What are Secure Remote MCP Servers?

This is a secure remote MCP server solution that uses Azure API Management as an AI gateway. It implements the latest MCP authorization specification and provides secure remote access capabilities for the model context protocol.

How to use Secure Remote MCP Servers?

Through the Azure API Management service as a gateway, users can use the MCP Inspector tool to connect to the SSE endpoint and securely access and run tools on the MCP server.

Applicable scenarios

Suitable for scenarios where MCP servers need to be securely deployed and managed in the cloud, and AI models and tools need to be remotely accessed through a standardized protocol.

Main features

Azure API Management integration
Use Azure API Management as an AI gateway to provide a secure and scalable access entry for MCP servers
MCP authorization specification implementation
Fully support the latest MCP authorization specification (version 2025 - 03 - 26) to ensure a secure third - party authorization process
SSE endpoint support
Provide Server - Sent Events (SSE) endpoints to support real - time communication and tool invocation
MCP Inspector integration
Support using the MCP Inspector tool for visual interaction and testing
Advantages
Leverage Azure API Management to provide enterprise - level API security and management capabilities
Standardized MCP protocol implementation to ensure compatibility
Support the latest authorization specification with high security
Easy to deploy and manage using Azure infrastructure
Limitations
Requires an Azure cloud environment with certain usage costs
Currently in the experimental stage (Experimental), there may be instability factors
Requires certain knowledge of Azure resource management

How to use

Register the resource provider
First, you need to register the Microsoft.App resource provider
Deploy Azure resources
Use the azd command to deploy all Azure resources with one click
Install MCP Inspector
Install and run the MCP Inspector tool in a new terminal window
Configure the connection
Set the transport type to SSE in MCP Inspector and enter the SSE endpoint URL of API Management
Use the tools
After a successful connection, you can list available tools and run them

Usage examples

Remote call of AI models
Remotely access AI models deployed on Azure through a secure gateway
Multi - tool collaboration
Coordinate the workflows of multiple AI tools through the MCP protocol

Frequently Asked Questions

Is this solution free?
Why is it marked as Experimental?
Which MCP versions are supported?

Related resources

MCP Specification Official Website
Official specification document of the Model Context Protocol
AI Gateway Project
Azure AI Gateway reference implementation
Azure API Management Documentation
Official documentation of Azure API Management

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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