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app/_how-tos/ai-gateway/monitor-mcp-traffic-with-http-log.md
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,373 @@ | ||
| --- | ||
| title: Monitor MCP traffic with the HTTP Log plugin | ||
| content_type: how_to | ||
| related_resources: | ||
| - text: "{{site.ai_gateway}}" | ||
| url: /ai-gateway/ | ||
| - text: AI MCP Server entity | ||
| url: /ai-gateway/entities/ai-mcp-server/ | ||
| - text: HTTP Log | ||
| url: /ai-gateway/policies/http-log/ | ||
|
|
||
| description: | | ||
| Create an AI MCP from a mock API using `conversion-listener` mode, then use the HTTP Log Policy to record and inspect the payloads and responses from the example MCP. | ||
|
|
||
| products: | ||
| - ai-gateway | ||
|
|
||
| permalink: /ai-gateway/monitor-mcp-traffic-with-http-log/ | ||
|
|
||
| series: | ||
| id: mcp-conversion-2-0 | ||
| position: 2 | ||
|
|
||
| works_on: | ||
| - konnect | ||
|
|
||
| min_version: | ||
| ai-gateway: '2.0' | ||
|
|
||
| tags: | ||
| - ai | ||
| - mcp | ||
|
|
||
| tldr: | ||
| q: How do I observe and validate MCP traffic from autogenerated tools? | ||
| a: | | ||
| Use an AI MCP entity to expose a mock API as an MCP tool, then use the HTTP Log Policy to capture tool calls and validate their payloads and responses. | ||
|
|
||
| tools: | ||
| - kongctl | ||
|
|
||
| cleanup: | ||
| inline: | ||
| - title: Destroy the {{site.base_gateway}} container | ||
| include_content: cleanup/products/gateway | ||
| icon_url: /assets/icons/gateway.svg | ||
| - title: Clean up {{site.konnect_short_name}} environment | ||
| include_content: cleanup/platform/konnect | ||
| icon_url: /assets/icons/gateway.svg | ||
|
|
||
| automated_tests: false | ||
|
|
||
| --- | ||
|
|
||
| ## Reconfigure the AI MCP Proxy plugin | ||
|
|
||
| To observe traffic for MCP tools, you first must **enable logging and statistics** on the AI MCP. Apply the below configuration to reconfigure the AI MCP to log full payloads: | ||
|
|
||
| ```sh | ||
| kongctl apply -f - --auto-approve --pat "$KONNECT_TOKEN" <<EOF | ||
| ai_gateway_mcp_servers: | ||
| - ref: marketplace-mcp | ||
| ai_gateway: !lookup {id: $AI_GATEWAY_ID} | ||
| name: marketplace-mcp | ||
| display_name: "Marketplace API" | ||
| type: conversion-listener | ||
| enabled: true | ||
| policies: [] | ||
| access: | ||
| acl_attribute_type: consumer | ||
| acls: | ||
| allow: [] | ||
| default_tool_acls: | ||
| deny: [] | ||
| config: | ||
| url: http://host.docker.internal:3000 | ||
| route: | ||
| paths: | ||
| - /marketplace | ||
| logging: | ||
| payloads: true | ||
| statistics: true | ||
| server: | ||
| timeout: 60000 | ||
| tools: | ||
| - name: get-users | ||
| description: Get users | ||
| method: GET | ||
| path: /marketplace/users | ||
| parameters: | ||
| - name: id | ||
| in: query | ||
| required: false | ||
| schema: | ||
| type: string | ||
| description: Optional user ID | ||
| - name: get-orders-for-user | ||
| description: Get orders for a user | ||
| method: GET | ||
| path: /marketplace/orders | ||
| parameters: | ||
| - description: User ID to filter orders | ||
| in: query | ||
| name: userid | ||
| required: true | ||
| schema: | ||
| type: string | ||
| EOF | ||
| ``` | ||
|
|
||
|
|
||
| ## Log MCP traffic | ||
|
|
||
| Before we send tool calls, we need to set up the a HTTP Logs Policy to check how many tokens we've managed to save by using our configuration. | ||
|
Check failure on line 114 in app/_how-tos/ai-gateway/monitor-mcp-traffic-with-http-log.md
|
||
|
|
||
| Apply the below config to create an HTTP logs Policy and attach it to the AI MCP entity: | ||
|
|
||
| ```sh | ||
| kongctl apply -f - --auto-approve --pat "$KONNECT_TOKEN" <<EOF | ||
| ai_gateway_policies: | ||
| - ref: my-http-log-policy | ||
| name: my-http-log-policy | ||
| ai_gateway: !lookup {id: $AI_GATEWAY_ID} | ||
| type: http-log | ||
| enabled: true | ||
| global: false | ||
| config: | ||
| http_endpoint: http://host.docker.internal:9999/ | ||
| headers: | ||
| Authorization: Bearer some-token | ||
| method: POST | ||
| timeout: 3000 | ||
|
|
||
| ai_gateway_mcp_servers: | ||
| - ref: marketplace-mcp | ||
| ai_gateway: !lookup {id: $AI_GATEWAY_ID} | ||
| name: marketplace-mcp | ||
| display_name: "Marketplace API" | ||
| type: conversion-listener | ||
| enabled: true | ||
| policies: [ !ref my-http-log-policy#name ] | ||
| access: | ||
| acl_attribute_type: consumer | ||
| acls: | ||
| allow: [] | ||
| default_tool_acls: | ||
| deny: [] | ||
| config: | ||
| url: http://host.docker.internal:3000 | ||
| route: | ||
| paths: | ||
| - /marketplace | ||
| logging: | ||
| payloads: true | ||
| statistics: true | ||
| server: | ||
| timeout: 60000 | ||
| tools: | ||
| - name: get-users | ||
| description: Get users | ||
| method: GET | ||
| path: /marketplace/users | ||
| parameters: | ||
| - name: id | ||
| in: query | ||
| required: false | ||
| schema: | ||
| type: string | ||
| description: Optional user ID | ||
| - name: get-orders-for-user | ||
| description: Get orders for a user | ||
| method: GET | ||
| path: /marketplace/orders | ||
| parameters: | ||
| - description: User ID to filter orders | ||
| in: query | ||
| name: userid | ||
| required: true | ||
| schema: | ||
| type: string | ||
| EOF | ||
| ``` | ||
|
|
||
| Let's run a simple log collector script which collect logs at `9999` port. Copy and run this snippet in your terminal: | ||
|
|
||
| ``` | ||
| cat <<EOF > log_server.py | ||
| from http.server import BaseHTTPRequestHandler, HTTPServer | ||
| import datetime | ||
|
|
||
| LOG_FILE = "kong_logs.txt" | ||
|
|
||
| class LogHandler(BaseHTTPRequestHandler): | ||
| def do_POST(self): | ||
| timestamp = datetime.datetime.now().isoformat() | ||
|
|
||
| content_length = int(self.headers['Content-Length']) | ||
| post_data = self.rfile.read(content_length).decode('utf-8') | ||
|
|
||
| log_entry = f"{timestamp} - {post_data}\n" | ||
| with open(LOG_FILE, "a") as f: | ||
| f.write(log_entry) | ||
|
|
||
| print("="*60) | ||
| print(f"Received POST request at {timestamp}") | ||
| print(f"Path: {self.path}") | ||
| print("Headers:") | ||
| for header, value in self.headers.items(): | ||
| print(f" {header}: {value}") | ||
| print("Body:") | ||
| print(post_data) | ||
| print("="*60) | ||
|
|
||
| # Send OK response | ||
| self.send_response(200) | ||
| self.end_headers() | ||
| self.wfile.write(b"OK") | ||
|
|
||
| if __name__ == '__main__': | ||
| server_address = ('', 9999) | ||
| httpd = HTTPServer(server_address, LogHandler) | ||
| print("Starting log server on http://0.0.0.0:9999") | ||
| httpd.serve_forever() | ||
| EOF | ||
| ``` | ||
|
|
||
| Now, run this script with Python and UV: | ||
|
|
||
| ```sh | ||
| uv run log_server.py | ||
| ``` | ||
|
|
||
| If the script is successful, you'll receive the following prompt in your terminal: | ||
|
|
||
| ```sh | ||
| Starting log server on http://0.0.0.0:9999 | ||
| ``` | ||
|
|
||
| ## Validate MCP tools configuration | ||
|
|
||
| You can validate that the HTTP Logs plugin is collecting metrics by generating MCP traffic to the mock API server. Enter the following question in Chatwise: | ||
|
|
||
| ```text | ||
| what has bob ordered ? | ||
| ``` | ||
|
|
||
| Once Chatwise has finished reasoning, you will see MCP audit log entries logged by the HTTP plugin in your terminal similar to the following: | ||
|
|
||
|
|
||
| ```sh | ||
| Received POST request at 2026-07-31T15:56:28.232507 | ||
| Path: / | ||
| Headers: | ||
| Content-Length: 5145 | ||
| Authorization: Bearer some-token | ||
| Content-Type: application/json | ||
| Host: host.docker.internal:9999 | ||
| User-Agent: lua-resty-http/0.17.2 (Lua) ngx_lua/10028 | ||
| Body: | ||
| { | ||
| "upstream_uri": "/", | ||
| "latencies": { | ||
| "redis": 0, | ||
| "socket": 0, | ||
| "request": 15, | ||
| "kong": 14, | ||
| "proxy": -1, | ||
| "third_party": 5.936128, | ||
| "client": 0.7616, | ||
| "receive": 0, | ||
| "http_client": 5.936128, | ||
| "kong_internal": 8.50176, | ||
| "dns": 0 | ||
| }, | ||
| "request": { | ||
| "headers": { | ||
| "mcp-protocol-version": "2025-11-25", | ||
| "content-length": "126", | ||
| "accept": "application/json, text/event-stream", | ||
| "connection": "keep-alive", | ||
| "accept-language": "en-GB", | ||
| "mcp-session-id": "8b2d1534-3ef9-4708-9baf-5cf36b4f5b1f", | ||
| "content-type": "application/json", | ||
| "host": "localhost:8000", | ||
| "user-agent": "ChatWise/26.7.4" | ||
| }, | ||
| "size": 483, | ||
| "method": "POST", | ||
| "url": "http://localhost:8000/marketplace", | ||
| "id": "cc054f73a6b04f3573cdf02883d92f53", | ||
| "uri": "/marketplace", | ||
| "querystring": {} | ||
| }, | ||
| "route": { | ||
| "service": { | ||
| "id": "c16f08e6-4cfe-5c39-8627-f744f091e592" | ||
| }, | ||
| "regex_priority": 0, | ||
| "preserve_host": false, | ||
| "protocols": [ | ||
| "http", | ||
| "https" | ||
| ], | ||
| "path_handling": "v0", | ||
| "name": "marketplace-mcp-route", | ||
| "id": "a878697a-8bbc-591b-8640-e1bd5aba261c", | ||
| "ws_id": "17dadd2f-94c5-4ba4-86bb-8d2d4e6e22cd", | ||
| "paths": [ | ||
| "/marketplace" | ||
| ], | ||
| "updated_at": 1785509686, | ||
| "strip_path": true, | ||
| "https_redirect_status_code": 426, | ||
| "response_buffering": true, | ||
| "request_buffering": true, | ||
| "created_at": 1785509686 | ||
| }, | ||
| "started_at": 1785509788214, | ||
| "client_ip": "192.168.165.1", | ||
| "workspace": "17dadd2f-94c5-4ba4-86bb-8d2d4e6e22cd", | ||
| "workspace_name": "default", | ||
| "ai": { | ||
| "mcp": { | ||
| "mcp_session_id": "8b2d1534-3ef9-4708-9baf-5cf36b4f5b1f", | ||
| "rpc": [ | ||
| { | ||
| "id": "2", | ||
| "method": "tools/call", | ||
| "response_body_size": 2175, | ||
| "tool_name": "get-orders-for-user", | ||
| "latency": 15, | ||
| "payload": { | ||
| "request": "{\"id\":2,\"params\":{\"name\":\"get-orders-for-user\",\"arguments\":{\"query_userid\":\"e5f6g7h8\"}},\"jsonrpc\":\"2.0\",\"method\":\"tools/call\"}", | ||
| "response": "{\"id\":2,\"jsonrpc\":\"2.0\",\"result\":{\"content\":[{\"type\":\"text\",\"text\":\"[{\\\"id\\\":\\\"ord001\\\",\\\"name\\\":\\\"Sugar (50kg)\\\",\\\"userId\\\":\\\"a1b2c3d4\\\"},{\\\"id\\\":\\\"ord002\\\",\\\"name\\\":\\\"Cleaning Supplies Pack\\\",\\\"userId\\\":\\\"a1b2c3d4\\\"},{\\\"id\\\":\\\"ord003\\\",\\\"name\\\":\\\"Canned Tomatoes (100 cans)\\\",\\\"userId\\\":\\\"a1b2c3d4\\\"},{\\\"id\\\":\\\"ord004\\\",\\\"name\\\":\\\"Flour (100kg)\\\",\\\"userId\\\":\\\"e5f6g7h8\\\"},{\\\"id\\\":\\\"ord005\\\",\\\"name\\\":\\\"Dish Soap (10 bottles)\\\",\\\"userId\\\":\\\"e5f6g7h8\\\"},{\\\"id\\\":\\\"ord006\\\",\\\"name\\\":\\\"Salt (25kg)\\\",\\\"userId\\\":\\\"e5f6g7h8\\\"},{\\\"id\\\":\\\"ord007\\\",\\\"name\\\":\\\"Olive Oil (20L)\\\",\\\"userId\\\":\\\"i9j0k1l2\\\"},{\\\"id\\\":\\\"ord008\\\",\\\"name\\\":\\\"Baking Powder (10kg)\\\",\\\"userId\\\":\\\"i9j0k1l2\\\"},{\\\"id\\\":\\\"ord009\\\",\\\"name\\\":\\\"Rice (200kg)\\\",\\\"userId\\\":\\\"m3n4o5p6\\\"},{\\\"id\\\":\\\"ord010\\\",\\\"name\\\":\\\"Vegetable Oil (15L)\\\",\\\"userId\\\":\\\"m3n4o5p6\\\"},{\\\"id\\\":\\\"ord011\\\",\\\"name\\\":\\\"Pasta (80kg)\\\",\\\"userId\\\":\\\"m3n4o5p6\\\"},{\\\"id\\\":\\\"ord012\\\",\\\"name\\\":\\\"Canned Beans (50 cans)\\\",\\\"userId\\\":\\\"m3n4o5p6\\\"},{\\\"id\\\":\\\"ord013\\\",\\\"name\\\":\\\"Toilet Paper (Case of 48)\\\",\\\"userId\\\":\\\"q7r8s9t0\\\"},{\\\"id\\\":\\\"ord014\\\",\\\"name\\\":\\\"Hand Sanitizer (20 bottles)\\\",\\\"userId\\\":\\\"q7r8s9t0\\\"},{\\\"id\\\":\\\"ord015\\\",\\\"name\\\":\\\"Laundry Detergent (10L)\\\",\\\"userId\\\":\\\"u1v2w3x4\\\"},{\\\"id\\\":\\\"ord016\\\",\\\"name\\\":\\\"Trash Bags (100 ct)\\\",\\\"userId\\\":\\\"u1v2w3x4\\\"},{\\\"id\\\":\\\"ord017\\\",\\\"name\\\":\\\"Disinfectant Spray (5 bottles)\\\",\\\"userId\\\":\\\"u1v2w3x4\\\"},{\\\"id\\\":\\\"ord018\\\",\\\"name\\\":\\\"Coffee Beans (30kg)\\\",\\\"userId\\\":\\\"k7l8m9n0\\\"},{\\\"id\\\":\\\"ord019\\\",\\\"name\\\":\\\"Tea Bags (500ct)\\\",\\\"userId\\\":\\\"k7l8m9n0\\\"},{\\\"id\\\":\\\"ord020\\\",\\\"name\\\":\\\"Condensed Milk (40 cans)\\\",\\\"userId\\\":\\\"k7l8m9n0\\\"},{\\\"id\\\":\\\"ord021\\\",\\\"name\\\":\\\"Paper Towels (24 rolls)\\\",\\\"userId\\\":\\\"g3h4i5j6\\\"},{\\\"id\\\":\\\"ord022\\\",\\\"name\\\":\\\"Broom & Mop Set\\\",\\\"userId\\\":\\\"g3h4i5j6\\\"},{\\\"id\\\":\\\"ord023\\\",\\\"name\\\":\\\"Cereal (20 boxes)\\\",\\\"userId\\\":\\\"c9d0e1f2\\\"},{\\\"id\\\":\\\"ord024\\\",\\\"name\\\":\\\"Powdered Milk (10kg)\\\",\\\"userId\\\":\\\"c9d0e1f2\\\"},{\\\"id\\\":\\\"ord025\\\",\\\"name\\\":\\\"Snacks Variety Pack\\\",\\\"userId\\\":\\\"c9d0e1f2\\\"},{\\\"id\\\":\\\"ord026\\\",\\\"name\\\":\\\"Cooking Gas Cylinder\\\",\\\"userId\\\":\\\"y5z6a7b8\\\"},{\\\"id\\\":\\\"ord027\\\",\\\"name\\\":\\\"Napkins (1000ct)\\\",\\\"userId\\\":\\\"y5z6a7b8\\\"}]\"}],\"isError\":false}}" | ||
| } | ||
| } | ||
| ] | ||
| } | ||
| }, | ||
| "tries": [], | ||
| "response": { | ||
| "status": 200, | ||
| "headers": { | ||
| "connection": "close", | ||
| "cache-control": "no-store, no-transform", | ||
| "transfer-encoding": "chunked", | ||
| "x-kong-request-id": "cc054f73a6b04f3573cdf02883d92f53", | ||
| "server": "kong/2.0.1-ai-gateway", | ||
| "content-type": "text/event-stream", | ||
| "x-kong-response-latency": "14" | ||
| }, | ||
| "size": 2503 | ||
| }, | ||
| "service": { | ||
| "name": "marketplace-mcp", | ||
| "ws_id": "17dadd2f-94c5-4ba4-86bb-8d2d4e6e22cd", | ||
| "host": "host.docker.internal", | ||
| "write_timeout": 60000, | ||
| "connect_timeout": 60000, | ||
| "updated_at": 1785509686, | ||
| "read_timeout": 60000, | ||
| "retries": 5, | ||
| "id": "c16f08e6-4cfe-5c39-8627-f744f091e592", | ||
| "created_at": 1785509686, | ||
| "port": 3000, | ||
| "enabled": true, | ||
| "protocol": "http" | ||
| }, | ||
| "source": "kong", | ||
| "upstream_status": "" | ||
| } | ||
|
|
||
| ``` | ||
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@jbaross - can we just use the file log policy instead of this script? It makes this flow much simpler
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I think that would be an entirely separate how-to, using the http-log is the point of this one