#!/usr/bin/env python3
"""
Analyze JMeter results using the MCP server
"""
import asyncio
import json
from mcp import ClientSession, StdioServerParameters
from mcp.client.stdio import stdio_client
async def analyze_results():
"""Analyze the demo JMeter results via MCP"""
server_params = StdioServerParameters(
command="uv",
args=["--directory", "/home/ebad/jmeter-mcp-server", "run", "jmeter_server.py"],
env=None
)
async with stdio_client(server_params) as (read, write):
async with ClientSession(read, write) as session:
# Initialize the connection
await session.initialize()
print("=" * 70)
print("📊 ANALYZING JMETER RESULTS")
print("=" * 70)
# 1. Analyze results
print("\n🔍 1. General Analysis:")
print("-" * 70)
result = await session.call_tool(
"analyze_jmeter_results",
arguments={
"jtl_file": "/home/ebad/jmeter-mcp-server/demo_results.jtl",
"detailed": True
}
)
for content in result.content:
if hasattr(content, 'text'):
print(content.text)
# 2. Identify bottlenecks
print("\n\n🚨 2. Performance Bottlenecks:")
print("-" * 70)
result = await session.call_tool(
"identify_performance_bottlenecks",
arguments={
"jtl_file": "/home/ebad/jmeter-mcp-server/demo_results.jtl"
}
)
for content in result.content:
if hasattr(content, 'text'):
print(content.text)
# 3. Get insights
print("\n\n💡 3. Performance Insights:")
print("-" * 70)
result = await session.call_tool(
"get_performance_insights",
arguments={
"jtl_file": "/home/ebad/jmeter-mcp-server/demo_results.jtl"
}
)
for content in result.content:
if hasattr(content, 'text'):
print(content.text)
print("\n" + "=" * 70)
print("✅ Analysis Complete!")
print("=" * 70)
if __name__ == "__main__":
asyncio.run(analyze_results())
