Qmesh Mcp
@onedaysoftware-support
关于 Qmesh Mcp
@q-mesh/mcp lets Claude, Cursor, Continue and any MCP client query the [QMesh](https://q-mesh.com) crowdtesting platform.
基本信息
配置
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"qmesh": {
"command": "npx",
"args": [
"-y",
"@q-mesh/mcp"
],
"env": {
"QMESH_USER_TOKEN": "<your Supabase JWT from q-mesh.com>"
}
}
}
}工具
4testers, QA-verified, businesses, bugs, tasks
day / week / month / year tester rankings with QIS and bug stats
public testing plans with budget, features, refund policy
de-identified Bug Pattern knowledge base (scenario templates, detection techniques, checklists). Filter by category, severity, domain.
概览
What is Qmesh Mcp?
Qmesh Mcp is a Model Context Protocol server for the QMesh platform. It provides tools for accessing testing statistics, leaderboards, pricing plans, a de-identified bug pattern knowledge base, and submitting AI-detected quality signals. It is designed for AI coding assistants and AI agents performing QA and testing tasks.
How to use Qmesh Mcp?
Use the provided tools—get_platform_stats, get_leaderboard, list_pricing_plans, search_bug_patterns, and submit_ai_signal—to interact with QMesh. The submit_ai_signal tool requires a user JWT for authentication.
Key features of Qmesh Mcp
- Access platform statistics for testers, QA-verified, businesses, bugs, tasks.
- Retrieve tester leaderboards by day, week, month, year with QIS and bug stats.
- List public testing plans with budget, features, and refund policy.
- Search de-identified bug patterns by category, severity, and domain.
- Submit AI-detected quality signals for human verification and release decisions.
Use cases of Qmesh Mcp
- AI coding assistants cite real bug patterns instead of generic QA advice.
- AI agents submit product test findings into QMesh’s Signal Engine.
- Human QA verifies submitted signals and forms release-readiness judgments.
FAQ from Qmesh Mcp
Does submit_ai_signal require authentication?
Yes, it requires a user JWT.
What kind of bug patterns can be searched?
The search_bug_patterns tool accesses a de-identified Bug Pattern knowledge base containing scenario templates, detection techniques, and checklists. Results can be filtered by category, severity, and domain.
What happens to submitted AI signals?
QMesh deduplicates, scores, and routes high-value findings to human QA for release-readiness judgment.
Are leaderboards available?
Yes, via get_leaderboard, with time ranges for day, week, month, and year, showing tester rankings with QIS and bug stats.
What does list_pricing_plans provide?
It lists public testing plans with budget, features, and refund policy.
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