mcp-gateway

Proxying Local & Remote MCP Servers

What’s New

Proxying Local Stdio MCP Server

• Spin up local MCP servers behind the gateway by specifying a command (npx, uvx, etc.).
• Expose them remotely via HTTP/Streamable so cloud agents can connect.
• Support workload identity for secure authentication with Azure resources.

With this, you can transform local-only MCP servers into cloud-accessible services that plug directly into your AI workflows.

Proxying Remote HTTP MCP Server

• Forward requests from the gateway to an existing MCP server over Streamable HTTP.

Instructions

Preparation

• Make sure the cloud deployment has been done.
• Build the MCP proxy server image in ACR.

  az acr build -r "mgreg$resourceLabel" -f mcp-proxy-server/Dockerfile mcp-proxy-server -t "mgreg$resourceLabel.azurecr.io/mcp-proxy:1.0.0"
  

• Configure permissions for the workload identity principal (If setting up a local mcp server) mg-identity-<identifier>-workload. This identity is created by deployment. The MCP server will use the workload identity for upstream resource access.

Proxying Local Servers

For starting a local MCP server in stdio and proxying the traffic through gateway to it. Set server startup command and arguments in environment variables:

• MCP_COMMAND
• MCP_ARGS

Set useWorkloadIdentity to be true if need the server to use the workload identity.

Note: When using a bridged local server, certain system packages may be missing by default. To address this, you can install the required packages within a custom Dockerfile and build your own mcp-proxy image.

Proxying Remote Servers

For proxying another internal mcp server hosted in streamable HTTP. Set the target endpoint in environment variable

• MCP_PROXY_URL

Examples

Example payloads to send to mcp-gateway using the POST /adapters endpoint to launch a mcp server remotely.

Example 1: Bridged Azure MCP Server

{
  "name": "azure-remote",
  "imageName": "mcp-proxy",
  "imageVersion": "1.0.0",
  "environmentVariables": {
    "MCP_COMMAND": "npx",
    "MCP_ARGS": "-y @azure/mcp@latest server start",
    "AZURE_MCP_INCLUDE_PRODUCTION_CREDENTIALS": "true",
    "DOTNET_SYSTEM_GLOBALIZATION_INVARIANT": "1"
  },
  "description": "Bridged Azure local MCP server"
}

Example 2: Bridged Azure AI Foundry MCP Server

{
  "name": "foundry-remote",
  "imageName": "mcp-proxy",
  "imageVersion": "1.0.0",
  "environmentVariables": {
      "MCP_COMMAND": "uvx",
      "MCP_ARGS": "--prerelease=allow --from git+https://github.com/azure-ai-foundry/mcp-foundry.git run-azure-ai-foundry-mcp"
  },
  "useWorkloadIdentity": true,
  "description": "Bridged Azure AI Foundry Local MCP Server"
}

Example 3: Bridged Azure DevOps MCP Server

{
    "name": "ado-remote",
    "imageName": "mcp-proxy",
    "imageVersion": "1.0.0",
    "environmentVariables": {
      "MCP_COMMAND": "npx",
      "MCP_ARGS": "-y @azure-devops/mcp contoso",
      "ADO_MCP_AZURE_TOKEN_CREDENTIALS": "WorkloadIdentityCredential",
      "AZURE_TOKEN_CREDENTIALS": "WorkloadIdentityCredential"
    },
    "useWorkloadIdentity": true,
    "description": "Bridged ADO MCP Local Server"
}

Note: Different MCP servers have different conventions for reading credentials from the environment for setting up TokenCredential and connect to upstream resources. You may need to adjust the environment variable names/values per server.
Examples: Some servers expect a general switch like AZURE_TOKEN_CREDENTIALS=WorkloadIdentityCredential Others use service-specific variables (e.g., ADO_MCP_AZURE_TOKEN_CREDENTIALS)

Example 4: Proxied Internal MCP Server (Streamable HTTP)

{
    "name": "internal-mcp",
    "imageName": "mcp-proxy",
    "imageVersion": "1.0.0",
    "environmentVariables": {
      "MCP_PROXY_URL": "https://internal-mcp-server/mcp"
    },
    "description": "Proxied Internal MCP Server"
}

Security Considerations

Before running in production

• Implement appropriate access controls on the gateway level to prevent users from exploiting the workload identity access through it.
• Always only register trusted MCP servers, enable network access policies on the server pods.

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