Qmesh Mcp

by onedaysoftware-support

271 downloads
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GitHub

About

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

Details

Author
onedaysoftware-support
Downloads
271
Categories
Other, Developer Tools

- 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.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Qmesh Mcp
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

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.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

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

McpServers

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

Tools

- get_platform_stats — testers, QA-verified, businesses, bugs, tasks - get_leaderboard — day / week / month / year tester rankings with QIS and bug stats - list_pricing_plans — public testing plans with budget, features, refund policy - search_bug_patterns — de-identified Bug Pattern knowledge base (scenario templates, detection techniques, checklists). Filter by category, severity, domain. - submit_ai_signal (requires user JWT) — submit an AI-detected quality signal; QMesh dedupes, scores, and routes high-value findings to human QA for release-readiness judgment. ## Why - AI coding assistants answering QA/testing questions can cite real bug patterns instead of generic advice - AI agents running product tests can submit findings into QMesh's Signal Engine, where humans verify and release decisions are formed - Combines AI scale with human judgment to produce release confidence signals
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