Generate an MCP server using listener modev3.12+
Listener mode works together with conversion-only mode.
- Configure one or more Routes with the plugin in
conversion-onlymode. Eachconversion-onlyRoute defines tools and assigns them atagsvalue. - Configure a separate Route with the plugin in
listenermode (shown below). The listener usesconfig.server.tagto bind all matching conversion-only tools into a single MCP server.
Prerequisites
- At least one Route with the plugin in
conversion-onlymode, tagged with the same value asserver.tag
Add this section to your kong.yaml configuration file:
_format_version: "3.0"
plugins:
- name: ai-mcp-proxy
config:
mode: listener
server:
tag: weather-tools
timeout: 45000
logging:
log_statistics: true
log_payloads: false
max_request_body_size: 32768
Make the following request:
curl -i -X POST http://localhost:8001/plugins/ \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--data '
{
"name": "ai-mcp-proxy",
"config": {
"mode": "listener",
"server": {
"tag": "weather-tools",
"timeout": 45000
},
"logging": {
"log_statistics": true,
"log_payloads": false
},
"max_request_body_size": 32768
}
}
'
Make the following request:
curl -X POST https://{region}.api.konghq.com/v2/control-planes/{controlPlaneId}/core-entities/plugins/ \
--header "accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer $KONNECT_TOKEN" \
--data '
{
"name": "ai-mcp-proxy",
"config": {
"mode": "listener",
"server": {
"tag": "weather-tools",
"timeout": 45000
},
"logging": {
"log_statistics": true,
"log_payloads": false
},
"max_request_body_size": 32768
}
}
'
Make sure to replace the following placeholders with your own values:
-
region: Geographic region where your Kong Konnect is hosted and operates. -
controlPlaneId: Theidof the control plane. -
KONNECT_TOKEN: Your Personal Access Token (PAT) associated with your Konnect account.
See the Konnect API reference to learn about region-specific URLs and personal access tokens.
echo "
apiVersion: configuration.konghq.com/v1
kind: KongClusterPlugin
metadata:
name: ai-mcp-proxy
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
labels:
global: 'true'
config:
mode: listener
server:
tag: weather-tools
timeout: 45000
logging:
log_statistics: true
log_payloads: false
max_request_body_size: 32768
plugin: ai-mcp-proxy
" | kubectl apply -f -
Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$KONNECT_TOKEN"
server_url = "https://us.api.konghq.com/"
}
Add the following to your Terraform configuration to create a Konnect Gateway Plugin:
resource "konnect_gateway_plugin_ai_mcp_proxy" "my_ai_mcp_proxy" {
enabled = true
config = {
mode = "listener"
server = {
tag = "weather-tools"
timeout = 45000
}
logging = {
log_statistics = true
log_payloads = false
}
max_request_body_size = 32768
}
control_plane_id = konnect_gateway_control_plane.my_konnect_cp.id
}
Add this section to your kong.yaml configuration file:
_format_version: "3.0"
plugins:
- name: ai-mcp-proxy
service: serviceName|Id
config:
mode: listener
server:
tag: weather-tools
timeout: 45000
logging:
log_statistics: true
log_payloads: false
max_request_body_size: 32768
Make sure to replace the following placeholders with your own values:
-
serviceName|Id: Theidornameof the service the plugin configuration will target.
Make the following request:
curl -i -X POST http://localhost:8001/services/{serviceName|Id}/plugins/ \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--data '
{
"name": "ai-mcp-proxy",
"config": {
"mode": "listener",
"server": {
"tag": "weather-tools",
"timeout": 45000
},
"logging": {
"log_statistics": true,
"log_payloads": false
},
"max_request_body_size": 32768
}
}
'
Make sure to replace the following placeholders with your own values:
-
serviceName|Id: Theidornameof the service the plugin configuration will target.
Make the following request:
curl -X POST https://{region}.api.konghq.com/v2/control-planes/{controlPlaneId}/core-entities/services/{serviceId}/plugins/ \
--header "accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer $KONNECT_TOKEN" \
--data '
{
"name": "ai-mcp-proxy",
"config": {
"mode": "listener",
"server": {
"tag": "weather-tools",
"timeout": 45000
},
"logging": {
"log_statistics": true,
"log_payloads": false
},
"max_request_body_size": 32768
}
}
'
Make sure to replace the following placeholders with your own values:
-
region: Geographic region where your Kong Konnect is hosted and operates. -
controlPlaneId: Theidof the control plane. -
KONNECT_TOKEN: Your Personal Access Token (PAT) associated with your Konnect account. -
serviceId: Theidof the service the plugin configuration will target.
See the Konnect API reference to learn about region-specific URLs and personal access tokens.
echo "
apiVersion: configuration.konghq.com/v1
kind: KongPlugin
metadata:
name: ai-mcp-proxy
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
config:
mode: listener
server:
tag: weather-tools
timeout: 45000
logging:
log_statistics: true
log_payloads: false
max_request_body_size: 32768
plugin: ai-mcp-proxy
" | kubectl apply -f -
Next, apply the KongPlugin resource by annotating the service resource:
kubectl annotate -n kong service SERVICE_NAME konghq.com/plugins=ai-mcp-proxy
Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$KONNECT_TOKEN"
server_url = "https://us.api.konghq.com/"
}
Add the following to your Terraform configuration to create a Konnect Gateway Plugin:
resource "konnect_gateway_plugin_ai_mcp_proxy" "my_ai_mcp_proxy" {
enabled = true
config = {
mode = "listener"
server = {
tag = "weather-tools"
timeout = 45000
}
logging = {
log_statistics = true
log_payloads = false
}
max_request_body_size = 32768
}
control_plane_id = konnect_gateway_control_plane.my_konnect_cp.id
service = {
id = konnect_gateway_service.my_service.id
}
}
Add this section to your kong.yaml configuration file:
_format_version: "3.0"
plugins:
- name: ai-mcp-proxy
route: routeName|Id
config:
mode: listener
server:
tag: weather-tools
timeout: 45000
logging:
log_statistics: true
log_payloads: false
max_request_body_size: 32768
Make sure to replace the following placeholders with your own values:
-
routeName|Id: Theidornameof the route the plugin configuration will target.
Make the following request:
curl -i -X POST http://localhost:8001/routes/{routeName|Id}/plugins/ \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--data '
{
"name": "ai-mcp-proxy",
"config": {
"mode": "listener",
"server": {
"tag": "weather-tools",
"timeout": 45000
},
"logging": {
"log_statistics": true,
"log_payloads": false
},
"max_request_body_size": 32768
}
}
'
Make sure to replace the following placeholders with your own values:
-
routeName|Id: Theidornameof the route the plugin configuration will target.
Make the following request:
curl -X POST https://{region}.api.konghq.com/v2/control-planes/{controlPlaneId}/core-entities/routes/{routeId}/plugins/ \
--header "accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer $KONNECT_TOKEN" \
--data '
{
"name": "ai-mcp-proxy",
"config": {
"mode": "listener",
"server": {
"tag": "weather-tools",
"timeout": 45000
},
"logging": {
"log_statistics": true,
"log_payloads": false
},
"max_request_body_size": 32768
}
}
'
Make sure to replace the following placeholders with your own values:
-
region: Geographic region where your Kong Konnect is hosted and operates. -
controlPlaneId: Theidof the control plane. -
KONNECT_TOKEN: Your Personal Access Token (PAT) associated with your Konnect account. -
routeId: Theidof the route the plugin configuration will target.
See the Konnect API reference to learn about region-specific URLs and personal access tokens.
echo "
apiVersion: configuration.konghq.com/v1
kind: KongPlugin
metadata:
name: ai-mcp-proxy
namespace: kong
annotations:
kubernetes.io/ingress.class: kong
config:
mode: listener
server:
tag: weather-tools
timeout: 45000
logging:
log_statistics: true
log_payloads: false
max_request_body_size: 32768
plugin: ai-mcp-proxy
" | kubectl apply -f -
Next, apply the KongPlugin resource by annotating the httproute or ingress resource:
kubectl annotate -n kong httproute konghq.com/plugins=ai-mcp-proxy
kubectl annotate -n kong ingress konghq.com/plugins=ai-mcp-proxy
Prerequisite: Configure your Personal Access Token
terraform {
required_providers {
konnect = {
source = "kong/konnect"
}
}
}
provider "konnect" {
personal_access_token = "$KONNECT_TOKEN"
server_url = "https://us.api.konghq.com/"
}
Add the following to your Terraform configuration to create a Konnect Gateway Plugin:
resource "konnect_gateway_plugin_ai_mcp_proxy" "my_ai_mcp_proxy" {
enabled = true
config = {
mode = "listener"
server = {
tag = "weather-tools"
timeout = 45000
}
logging = {
log_statistics = true
log_payloads = false
}
max_request_body_size = 32768
}
control_plane_id = konnect_gateway_control_plane.my_konnect_cp.id
route = {
id = konnect_gateway_route.my_route.id
}
}