Skip to main content
Glama

JMeter MCP Server

jmeter_report.html9.17 kB
<!DOCTYPE html> <html> <head> <title>JMeter Test Results Analysis</title> <style> body { font-family: Arial, sans-serif; margin: 20px; } h1, h2, h3 { color: #333; } table { border-collapse: collapse; width: 100%; margin-bottom: 20px; } th, td { border: 1px solid #ddd; padding: 8px; text-align: left; } th { background-color: #f2f2f2; } tr:nth-child(even) { background-color: #f9f9f9; } .chart { margin: 20px 0; max-width: 100%; } .section { margin-bottom: 30px; } .severity-high { color: #d9534f; } .severity-medium { color: #f0ad4e; } .severity-low { color: #5bc0de; } </style> </head> <body> <h1>JMeter Test Results Analysis</h1> <div class="section"> <h2>Summary</h2> <table> <tr><th>Metric</th><th>Value</th></tr> <tr><td>Total Samples</td><td>96</td></tr> <tr><td>Error Count</td><td>0</td></tr> <tr><td>Error Rate</td><td>0.00%</td></tr> <tr><td>Average Response Time</td><td>222.18 ms</td></tr> <tr><td>Median Response Time</td><td>209.00 ms</td></tr> <tr><td>90th Percentile</td><td>335.50 ms</td></tr> <tr><td>95th Percentile</td><td>345.25 ms</td></tr> <tr><td>99th Percentile</td><td>356.00 ms</td></tr> <tr><td>Min Response Time</td><td>105.00 ms</td></tr> <tr><td>Max Response Time</td><td>356.00 ms</td></tr> <tr><td>Throughput</td><td>0.01 requests/second</td></tr> <tr><td>Start Time</td><td>2025-04-09 20:38:16.160000</td></tr> <tr><td>End Time</td><td>2025-04-09 23:17:02.381000</td></tr> <tr><td>Duration</td><td>9526.22 seconds</td></tr> </table> </div> <div class="section"> <h2>Endpoint Analysis</h2> <table> <tr> <th>Endpoint</th> <th>Samples</th> <th>Errors</th> <th>Error Rate</th> <th>Avg Response Time</th> <th>95th Percentile</th> <th>Throughput</th> </tr> <tr> <td>Login as u1</td> <td>8</td> <td>0</td> <td>0.00%</td> <td>174.62 ms</td> <td>271.10 ms</td> <td>0.00 req/s</td> </tr> <tr> <td>Action = none</td> <td>16</td> <td>0</td> <td>0.00%</td> <td>253.12 ms</td> <td>350.25 ms</td> <td>0.00 req/s</td> </tr> <tr> <td>Action a</td> <td>8</td> <td>0</td> <td>0.00%</td> <td>235.25 ms</td> <td>327.15 ms</td> <td>0.00 req/s</td> </tr> <tr> <td>Action b</td> <td>8</td> <td>0</td> <td>0.00%</td> <td>224.00 ms</td> <td>317.00 ms</td> <td>0.00 req/s</td> </tr> <tr> <td>Action c</td> <td>8</td> <td>0</td> <td>0.00%</td> <td>231.00 ms</td> <td>349.35 ms</td> <td>0.00 req/s</td> </tr> <tr> <td>Action d</td> <td>8</td> <td>0</td> <td>0.00%</td> <td>215.50 ms</td> <td>270.65 ms</td> <td>0.00 req/s</td> </tr> <tr> <td>Logout</td> <td>16</td> <td>0</td> <td>0.00%</td> <td>214.56 ms</td> <td>356.00 ms</td> <td>0.00 req/s</td> </tr> <tr> <td>Action = <EOF></td> <td>16</td> <td>0</td> <td>0.00%</td> <td>224.12 ms</td> <td>341.00 ms</td> <td>0.00 req/s</td> </tr> <tr> <td>Login as u2</td> <td>8</td> <td>0</td> <td>0.00%</td> <td>202.12 ms</td> <td>297.30 ms</td> <td>0.00 req/s</td> </tr> </table> </div> <div class="section"> <h2>Bottleneck Analysis</h2> <h3>Slow Endpoints</h3> <table> <tr> <th>Endpoint</th> <th>Response Time</th> <th>Threshold</th> <th>Severity</th> </tr> <tr> <td>Logout</td> <td>356.00 ms</td> <td>329.05 ms</td> <td class="severity-low">LOW</td> </tr> <tr> <td>Action = none</td> <td>350.25 ms</td> <td>329.05 ms</td> <td class="severity-low">LOW</td> </tr> <tr> <td>Action c</td> <td>349.35 ms</td> <td>329.05 ms</td> <td class="severity-low">LOW</td> </tr> <tr> <td>Action = <EOF></td> <td>341.00 ms</td> <td>329.05 ms</td> <td class="severity-low">LOW</td> </tr> </table> </div> <div class="section"> <h2>Insights and Recommendations</h2> <h3>Scaling Insights</h3> <table> <tr> <th>Topic</th> <th>Description</th> </tr> <tr> <td>No Correlation with Concurrency</td> <td>There is little to no correlation between the number of concurrent users and response times, suggesting good scalability</td> </tr> <tr> <td>No Performance Degradation Detected</td> <td>No significant performance degradation was detected with increasing concurrent users within the tested range</td> </tr> </table> </div> </body> </html>

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/QAInsights/jmeter-mcp-server'

If you have feedback or need assistance with the MCP directory API, please join our Discord server