V
vostride/agent-qa
Natural-language web and mobile tests that adapt
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
checked 2026-11-14 — requires Node >=24; most setups are below that, so the command fails there.
Install & config
- Copy the command above
- Paste it as one entry under
mcpServersinclaude_desktop_config.json— local servers take command + args (example: clients) - Restart your client
Client config (built from the install command this repo gives)
{
"mcpServers": {
"vostride-agent-qa": {
"command": "npx",
"args": ["agent-qa"]
}
}
}Parsed from the README we fetched on 2026-11-04; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"vostride-agent-qa": {
"command": "npx",
"args": ["agent-qa"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio vostride-agent-qa -- npx agent-qa
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Source
- collected from the abordage/awesome-mcp list · type: MCP server
- Harvest history
- first seen 2026-11-05 · last seen 2026-11-14 · seen 10× · listed by 10 sources
- Score
- score 1,003 · 10 sources · mcp
- Install
npx agent-qa
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
npx agent-qa. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: MCP 服务. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
first catalogued 2026-11-05；last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.
English · 中文
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
Website · Docs · Demo · Blog · Changelog
Your AI QA engineer, with memory. Describe a user journey in plain language. agent-qa tests it on web, Android or iOS and keeps the evidence. Use the CLI, the dashboard, or your coding agent through MCP and skills.
memidex: remembers facts and working procedures as reviewable files in your repository.
Self-improvement: validates lessons from runs, retires stale knowledge, and uses your feedback to correct mistakes.
| Benchmark | Rank | Published result |
| AndroidWorld | #1 | 100% pass@1 (116/116 tasks) |
| AppControlBench | #1 | 99.6% completion (114.5/115 points) |
Read the full benchmark reports, with run evidence and methodology, on our blog. Both used gpt-6-sol with memory and self-improvement off; AppControlBench gives half credit for partial completion.
## See it in action
Inspect a failure. The demo catches a cart showing $29 instead of $53, with the failed step and its screenshot side by side.
See what memory contributed. Inspect the knowledge supplied to a run and trace it back to the steps that used it.
Run from your terminal. Real output from the demo suite: checkout passes; the deliberate cart-total bug fails.
## Get started
Requires Node.js 24+.
sh
npm install -D agent-qa
npx agent-qa init
Follow the quickstart to connect a model and run the demo, or set up with your coding agent.
> [!NOTE]
> Early stage. Expect bugs. Report an issue when something breaks.
## License
Functional Source License (FSL-1.1-ALv2).
Your AI QA engineer, with memory. Describe a user journey in plain language. agent-qa tests it on web, Android or iOS and keeps the evidence. Use the CLI, the dashboard, or your coding agent through MCP and skills.
memidex: remembers facts and working procedures as reviewable files in your repository.
Self-improvement: validates lessons from runs, retires stale knowledge, and uses your feedback to correct mistakes.
| Benchmark | Rank | Published result |
| AndroidWorld | #1 | 100% pass@1 (116/116 tasks) |
| AppControlBench | #1 | 99.6% completion (114.5/115 points) |
Read the full benchmark reports, with run evidence and methodology, on our blog. Both used gpt-6-sol with memory and self-improvement off; AppControlBench gives half credit for partial completion.
## See it in action
Inspect a failure. The demo catches a cart showing $29 instead of $53, with the failed step and its screenshot side by side.
See what memory contributed. Inspect the knowledge supplied to a run and trace it back to the steps that used it.
Run from your terminal. Real output from the demo suite: checkout passes; the deliberate cart-total bug fails.
## Get started
Requires Node.js 24+.
sh
npm install -D agent-qa
npx agent-qa init
Follow the quickstart to connect a model and run the demo, or set up with your coding agent.
> [!NOTE]
> Early stage. Expect bugs. Report an issue when something breaks.
## License
Functional Source License (FSL-1.1-ALv2).
Listed badge (optional)
Copy this line into the README if you want the listing mark. Optional, and it does not affect being listed.
[](https://anclum.com/en/s/vostride-agent-qa/)
- Source
- awesome · https://github.com/vostride/agent-qa
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