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Qmesh MCP Server

@onedaysoftware-support

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基本情報

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その他

トランスポート

stdio

作者

onedaysoftware-support

投稿者

onedaysoftware-support

Qmesh MCP Server について

@q-mesh/mcp lets Claude, Cursor, Continue and any MCP client query the [QMesh](https://q-mesh.com) crowdtesting platform.

#qa#testing#crowdtesting

Qmesh MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "qmesh": {
      "command": "npx",
      "args": [
        "-y",
        "@q-mesh/mcp"
      ],
      "env": {
        "QMESH_USER_TOKEN": "<your Supabase JWT from q-mesh.com>"
      }
    }
  }
}

Qmesh MCP Server のツール

4

testers, 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.

概要

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.

よくある質問

1

Does `submit_ai_signal` require authentication?

Yes, it requires a user JWT.

2

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.

3

What happens to submitted AI signals?

QMesh deduplicates, scores, and routes high-value findings to human QA for release-readiness judgment.

4

Are leaderboards available?

Yes, via `get_leaderboard`, with time ranges for day, week, month, and year, showing tester rankings with QIS and bug stats.

5

What does `list_pricing_plans` provide?

It lists public testing plans with budget, features, and refund policy.

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