Adding the app

README.md

@@ -11,4 +11,14 @@ license: apache-2.0
 short_description: 'MCP agent for detecting climate anomalies in real-time '
 ---
 
+# Climate Sensor Agent
+
+A self-contained MCP agent that scans input for climate-related anomalies.
+
+Part of the **Collective Intelligence Networks** project — an experiment in emergent multi-agent AI collaboration.
+
+## How it works
+
+Send POST requests to `/agent` with structured or unstructured environmental text data.
+
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

agent.yaml

@@ -0,0 +1,15 @@
+name: climate_sensor_agent
+description: |
+  An MCP agent that analyzes environmental data to detect anomalies or alert-worthy climate patterns.
+  Designed to be part of Collective Intelligence Networks.
+authors:
+  - name: Your Name
+    email: you@example.com
+tags:
+  - mcp
+  - agent
+  - climate
+parameters:
+  - name: input
+    type: string
+    description: Climate-related data (structured or semi-structured).

app.py

@@ -0,0 +1,30 @@
+from fastapi import FastAPI
+from pydantic import BaseModel
+
+app = FastAPI()
+
+class InputData(BaseModel):
+    input: str
+
+@app.post("/agent")
+async def run_agent(data: InputData):
+    input_text = data.input.lower()
+
+    if "heatwave" in input_text or "drought" in input_text:
+        status = "CRITICAL"
+    elif "rain" in input_text or "temperature" in input_text:
+        status = "NORMAL"
+    else:
+        status = "UNKNOWN"
+
+    return {
+        "output": {
+            "status": status,
+            "agent_response": f"Climate status identified as {status} based on input.",
+            "summary": input_text
+        }
+    }
+
+@app.get("/")
+async def root():
+    return {"message": "Climate Sensor Agent is alive"}

requirements.txt

@@ -0,0 +1,3 @@
+fastapi==0.110.0
+uvicorn==0.29.0
+pydantic==2.6.4