Qmesh MCP Server

@onedaysoftware-support

Basic information

About Qmesh MCP Server

@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 config

Add this server to your MCP-compatible client using the configuration below.

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

Qmesh MCP Server tools

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.

Overview

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.

Frequently asked questions

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.

Comments

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