MCP Gateway is a reverse proxy and management layer for Model Context Protocol (MCP) servers, enabling scalable, session-aware routing, authorization and lifecycle management of MCP servers in Kubernetes environments.
This project provides:
/adapters scope. Designed to coexist with other resource types (e.g., /agents) in a unified AI development platform.session_id are consistently routed to the same MCP server instance.flowchart LR
subgraph Clients[" "]
direction TB
DataClient["π Agent/MCP<br>Data Client"]
MgmtClient["βοΈ Management<br>Client"]
end
subgraph Gateway["MCP Gateway"]
direction TB
subgraph Auth1["Authentication & Authorization"]
Auth["π Data Plane Auth<br>Bearer Token / RBAC"]
Auth2["π Control Plane Auth<br>Bearer Token / RBAC"]
end
subgraph DataPlane["Data Plane"]
Routing["π Adapter Routing<br>/adapters/{name}/mcp"]
ToolRouting["π Tool Router Gateway<br>/mcp"]
end
subgraph ControlPlane["Control Plane"]
direction LR
AdapterMgmt["π¦ Adapter Management<br>/adapters CRUD"]
ToolMgmt["π§ Tool Management<br>/tools CRUD"]
end
subgraph Management["Backend Services"]
DeploymentMgmt["βΈοΈ Deployment Manager"]
MetadataMgmt["π Metadata Manager"]
end
end
subgraph Cluster["Kubernetes Cluster"]
direction TB
subgraph ServerRow[" "]
direction LR
subgraph MCPServers["MCP Servers"]
direction TB
PodA["mcp-a-0"]
PodA1["mcp-a-1"]
PodB["mcp-b-0"]
end
subgraph ToolRouters["Tool Gateway Routers"]
direction TB
Router1["toolgateway-0"]
Router2["toolgateway-1"]
end
end
subgraph ToolServers["Registered Tool Servers"]
direction LR
Tool1["tool-1-0"]
Tool2["tool-2-0"]
end
end
Metadata[("πΎ Metadata Store<br>Server & Tool Info")]
DataClient -->|"MCP Requests"| Auth
MgmtClient -->|"API Calls"| Auth2
Auth --> Routing
Auth --> ToolRouting
Auth2 --> AdapterMgmt
Auth2 --> ToolMgmt
AdapterMgmt & ToolMgmt --> DeploymentMgmt
AdapterMgmt & ToolMgmt --> MetadataMgmt
Routing -.->|"Session Affinity"| MCPServers
ToolRouting -.->|"Session Affinity"| ToolRouters
ToolRouters ==>|"Dynamic Routing"| ToolServers
DeploymentMgmt -->|"Deploy & Monitor"| Cluster
MetadataMgmt <-->|"Read/Write"| Metadata
style Gateway fill:#e1f5ff
style Cluster fill:#fff4e1
style Metadata fill:#f0f0f0
POST /adapters β Deploy and register a new MCP server.GET /adapters β List all MCP servers the user can access.GET /adapters/{name} β Retrieve metadata for a specific adapter.GET /adapters/{name}/status β Check the deployment status.GET /adapters/{name}/logs β Access the serverβs running logs.PUT /adapters/{name} β Update the deployment.DELETE /adapters/{name} β Remove the server.POST /tools β Register and deploy a tool with MCP tool definition metadata.GET /tools β List all registered tools the user can access.GET /tools/{name} β Retrieve metadata and tool definition for a specific tool.GET /tools/{name}/status β Check the tool deployment status.GET /tools/{name}/logs β Access the tool serverβs running logs.PUT /tools/{name} β Update a tool deployment and definition.DELETE /tools/{name} β Remove a registered tool.POST /adapters/{name}/mcp β Establish a streamable HTTP connection.POST /mcp β Route requests to the tool gateway router, which dynamically routes to registered tools based on tool definitions. The router itself is an MCP server with multiple instances hosted behind the gateway for scalability.The gateway provides entra id authentication and basic application role authorization for mcp servers and tools:
mcp.engineer), and anyone holding the mandatory administrator role mcp.admin.mcp.admin role.For step-by-step guidance on configuring Azure Entra ID (creating mcp.admin and other role values, assigning them to users or service principals, and supplying those values in adapter/tool payloads), see docs/entra-app-roles.md.
The MCP Gateway now supports tool registration with dynamic routing capabilities, enabling a scalable architecture for managing and executing MCP tools.
/tools API endpoint, providing:
POST /mcp endpoint (without adapter name)/mcp:
docker run -d -p 5000:5000 --name registry registry:2.7
Build and push the MCP server images to your local registry (localhost:5000).
docker build -f sample-servers/mcp-example/Dockerfile sample-servers/mcp-example -t localhost:5000/mcp-example:1.0.0
docker push localhost:5000/mcp-example:1.0.0
(Optional) Open dotnet/Microsoft.McpGateway.sln with Visual Studio.
Publish the MCP Gateway image:
dotnet publish dotnet/Microsoft.McpGateway.Service/src/Microsoft.McpGateway.Service.csproj -c Release /p:PublishProfile=localhost_5000.pubxml
Publish the Tool Gateway Router image:
dotnet publish dotnet/Microsoft.McpGateway.Tools/src/Microsoft.McpGateway.Tools.csproj -c Release /p:PublishProfile=localhost_5000.pubxml
Apply the deployment manifests:
kubectl apply -f deployment/k8s/local-deployment.yml
Forward the gateway service port:
kubectl port-forward -n adapter svc/mcpgateway-service 8000:8000
Import the OpenAPI definition from openapi/mcp-gateway.openapi.json into tools like Postman, Bruno, or Swagger Editor.
Send a request to create a new adapter resource:
POST http://localhost:8000/adapters
Content-Type: application/json
{
"name": "mcp-example",
"imageName": "mcp-example",
"imageVersion": "1.0.0",
"description": "test"
}
Note: Ensure VSCode is up to date to access the latest MCP features.
mcp-example server, use:
http://localhost:8000/adapters/mcp-example/mcp (Streamable HTTP)Sample .vscode/mcp.json that connects to the mcp-example server
{
"servers": {
"mcp-example": {
"url": "http://localhost:8000/adapters/mcp-example/mcp",
}
}
}
http://localhost:8000/adapters/{name}/mcp (Streamable HTTP)First, build and push a tool server image to your local registry:
docker build -f sample-servers/tool-example/Dockerfile sample-servers/tool-example -t localhost:5000/weather-tool:1.0.0
docker push localhost:5000/weather-tool:1.0.0
Send a request to register a tool with its definition:
POST http://localhost:8000/tools
Content-Type: application/json
{
"name": "weather",
"imageName": "weather-tool",
"imageVersion": "1.0.0",
"description": "Weather tool for getting current weather information",
"toolDefinition": {
"tool": {
"name": "weather",
"title": "Weather Information",
"description": "Gets the current weather for a specified location.",
"type": "http",
"inputSchema": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA"
}
},
"required": ["location"]
}
},
"port": 8000
}
}
Check the tool deployment status:
GET http://localhost:8000/tools/weather/status
Use an MCP client (like VS Code) to connect to the tool gateway router:
Sample .vscode/mcp.json that connects to the tool gateway router:
{
"servers": {
"tool-gateway": {
"url": "http://localhost:8000/mcp"
}
}
}
The router will automatically route tool calls to the appropriate registered tool servers based on the tool name in the MCP request.
To remove all deployed resources, delete the Kubernetes namespace:
kubectl delete namespace adapter

The cloud-deployed service requires bearer token authentication using Azure Entra ID. Follow these steps to configure an app registration.
mcp-gatewayapi://<your-client-id>
accessAccess MCP GatewayTo allow Azure CLI & VS Code to work as the client for token acquisition.
04b07795-8ddb-461a-bbee-02f9e1bf7b46 (Azure CLI)aebc6443-996d-45c2-90f0-388ff96faa56 (VS Code)accessParameters
| Name | Description |
|ββββββ-|ββββββββββββββββββββββββββββββββββββββ|
| resourceGroup | The name of the resource group. Must contain only lowercase letters and numbers (alphanumeric). |
| clientId | The Entra ID (Azure AD) client ID from your app registration. |
| location | (Optional) The Azure region where resources will be deployed.
Defaults to the resource groupβs location. |
| resourceLabel | (Optional) A lowercase alphanumeric string used as a suffix for naming resources and as the DNS label.
If not provided, it will be the resourceGroup name.
Recommendation: Set this value as the default the same with resource group name and make sure resource group name contains only lower alphanumeric. |
The deployment will:
Deploy Azure infrastructure via Bicep templates
| Resource Name | Resource Type |
|---|---|
| mgreg<resourceLabel> | Container Registry |
| mg-storage-<resourceLabel> | Azure Cosmos DB Account |
| mg-aag-<resourceLabel> | Application Gateway |
| mg-ai-<resourceLabel> | Application Insights |
| mg-aks-<resourceLabel> | Kubernetes Service (AKS) |
| mg-identity-<resourceLabel> | Managed Identity |
| mg-pip-<resourceLabel> | Public IP Address |
| mg-vnet-<resourceLabel> | Virtual Network |
Deploy Kubernetes resources (including mcp-gateway) to the provisioned AKS cluster
Note: Itβs recommended to use Managed Identity for credential-less authentication. This deployment follows that design.
The gateway service pulls the MCP server image from the newly provisioned Azure Container Registry (ACR) during deployment.
Build the MCP server image in ACR:
az acr build -r "mgreg$resourceLabel" -f sample-servers/mcp-example/Dockerfile sample-servers/mcp-example -t "mgreg$resourceLabel.azurecr.io/mcp-example:1.0.0"
Import the OpenAPI spec from openapi/mcp-gateway.openapi.json into Postman, Bruno, or Swagger Editor
az account get-access-token --resource $clientId
POST http://<resourceLabel>.<location>.cloudapp.azure.com/adapters
Authorization: Bearer <token>
Content-Type: application/json
{
"name": "mcp-example",
"imageName": "mcp-example",
"imageVersion": "1.0.0",
"description": "test",
"requiredRoles": [] // Add entra id application role to restrict access
}
Note: Ensure VSCode is up to date to access the latest MCP features.
mcp-example server, use:
http://<resourceLabel>.<location>.cloudapp.azure.com/adapters/mcp-example/mcp (Streamable HTTP)Sample .vscode/mcp.json that connects to the mcp-example server
{
"servers": {
"mcp-example": {
"url": "http://<resourceLabel>.<location>.cloudapp.azure.com/adapters/mcp-example/mcp",
}
}
}
Note: Authentication is still required to access the MCP server, VS Code will help handle the authentication process.
http://<resourceLabel>.<location>.cloudapp.azure.com/adapters/{name}/mcp (Streamable HTTP)Build and push a tool server image to ACR:
az acr build -r "mgreg$resourceLabel" -f sample-servers/tool-example/Dockerfile sample-servers/tool-example -t "mgreg$resourceLabel.azurecr.io/weather-tool:1.0.0"
Acquire a bearer token:
az account get-access-token --resource $clientId
Send a request to register a tool with its definition:
POST http://<resourceLabel>.<location>.cloudapp.azure.com/tools
Authorization: Bearer <token>
Content-Type: application/json
{
"name": "weather",
"imageName": "weather-tool",
"imageVersion": "1.0.0",
"useWorkloadIdentity": true,
"description": "Weather tool for getting current weather information",
"requiredRoles": [], // Add entra id application role to restrict access
"toolDefinition": {
"tool": {
"name": "weather",
"title": "Weather Information",
"description": "Gets the current weather for a specified location.",
"type": "http",
"inputSchema": {
"type": "object",
"properties": {
"location": {
"type": "string",
"description": "The city and state, e.g. San Francisco, CA"
}
},
"required": ["location"]
},
"annotations": {
"readOnly": true
}
},
"port": 8000
}
}
Check the tool deployment status:
GET http://<resourceLabel>.<location>.cloudapp.azure.com/tools/weather/status
Authorization: Bearer <token>
Use an MCP client (like VS Code) to connect to the tool gateway router:
Sample .vscode/mcp.json that connects to the tool gateway router:
{
"servers": {
"tool-gateway": {
"url": "http://<resourceLabel>.<location>.cloudapp.azure.com/mcp"
}
}
}
Note: Authentication is required. VS Code will handle the authentication process.
The router will automatically route tool calls to the appropriate registered tool servers based on the tool name in the MCP request.
To remove all deployed resources, delete the resource group from Azure portal or run:
az group delete --name <resourceGroupName> --yes
TLS Configuration
Set up HTTPS on Azure Application Gateway (AAG) listener using valid TLS certificates.
Network Security
Restrict incoming traffic within the virtual network and configure Private Endpoints for enhanced network security.
Telemetry
Enable advanced telemetry, detailed metrics, and alerts to support monitoring and troubleshooting in production.
Scaling
Adjust scaling for mcp-gateway services and MCP servers based on expected load.
Authentication & Authorization
Set up OAuth 2.0 with Azure Entra ID (AAD) for authentication.
Implement fine-grained access control using RBAC or custom ACLs for adapter level permissions.
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