Skip to main content
Glama
sadi-qa

AI QA Agent MCP

by sadi-qa
OverviewSchemaRelated ServersScoreDiscussions
TypeScript
Local

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Capabilities

Features and capabilities supported by this server

CapabilityDetails
tools
{
  "listChanged": true
}
prompts
{
  "listChanged": true
}
resources
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
list_test_runsA

Find available Playwright JSON and JUnit test-result files in the approved reports directory.

get_test_run_summaryA

Read an approved Playwright JSON report and calculate pass, failure, skip, timeout, and flaky-test metrics.

analyze_test_failuresA

Analyze failed, timed-out, and flaky tests from an approved Playwright JSON report and group them by probable failure category.

generate_bug_reportA

Generate a structured draft bug report for one failed, timed-out, or flaky test from an approved Playwright JSON report.

generate_qa_summaryB

Generate a complete QA execution summary containing metrics, failure analysis, quality risks, Markdown output, and an advisory release recommendation.

Prompts

Interactive templates invoked by user choice

NameDescription
prepare_release_quality_reportGuide an AI client through analyzing test evidence and preparing an advisory release-quality report.

Resources

Contextual data attached and managed by the client

NameDescription
latest_test_runRead the newest supported Playwright JSON test run from the approved reports directory as normalized QA execution data.

Latest Blog Posts

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/sadi-qa/ai-qa-agent-mcp'

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