Link to Streamlit.

examples/LynxScribe/MCP/Demo.lynxkite.json

@@ -297,16 +297,16 @@
     },
     {
       "data": {
-        "collapsed": true,
+        "collapsed": false,
         "display": {
           "dataframes": {
             "service": {
               "columns": [
-                "url"
+                "markdown"
               ],
               "data": [
                 [
-                  "/api/service/lynxkite_graph_analytics/LynxScribe/MCP/Demo.lynxkite.json/Chat frontend 1"
+                  "[Go to frontend](http://localhost:8501/?service=%2Fapi%2Fservice%2Flynxkite_graph_analytics%2FLynxScribe%2FMCP%2FDemo.lynxkite.json%2FChat+frontend+1/chat/completions)"
                 ]
               ]
             }
@@ -343,14 +343,14 @@
         "title": "Chat frontend"
       },
       "dragHandle": ".drag-handle",
-      "height": 121.0,
+      "height": 117.0,
       "id": "Chat frontend 1",
       "position": {
-        "x": -138.70099552129096,
-        "y": -642.4401477213354
+        "x": -1.8364143940130049,
+        "y": -692.5252605263688
       },
       "type": "service",
-      "width": 429.0
+      "width": 169.0
     },
     {
       "data": {

examples/LynxScribe/MCP/demo.py

@@ -9,6 +9,8 @@ from mcp.client.stdio import stdio_client
 from lynxscribe.components.task_solver import TaskSolver
 from lynxscribe.core.models.prompts import Function, Tool
 
+FRONTEND_URL = "http://localhost:8501/"
+
 lsop = ops.op_registration(
     "LynxKite Graph Analytics", "LynxScribe", dir="bottom-to-top", color="blue"
 )
@@ -135,6 +137,9 @@ class Agent:
             max_tool_call_steps=999,
         )
 
+    def get_description(self, url: str) -> str:
+        return f"[Go to frontend]({FRONTEND_URL}?service={url}/chat/completions)"
+
     async def get(self, request: fastapi.Request) -> dict:
         if request.state.remaining_path == "models":
             return {

examples/LynxScribe/MCP/ui/main.py

@@ -1,7 +1,8 @@
 import streamlit as st
 import requests
 
-API_URL = "http://localhost:8000/api/service/lynxkite_graph_analytics/LynxScribe/MCP/Demo.lynxkite.json/Chat%20frontend%201/chat/completions"
+node_url = st.query_params["service"]
+api_url = f"http://localhost:8000{node_url}"
 
 st.title("LynxScribe Task Solver")
 
@@ -21,7 +22,7 @@ if question:
         "stream": False,
         "messages": [{"role": "user", "content": question}],
     }
-    response = requests.post(API_URL, json=payload)
+    response = requests.post(api_url, json=payload)
     if response.ok:
         st.write("\n".join(c["message"]["content"] for c in response.json()["choices"]))
     else: