Use MCP Servers to 10x Productivity (Simple, Practical)

MCP servers give Qwen superpowers: browse the web, run Playwright, talk to GitHub, recall memory, and search fast. Add a few, and you’ll plan, code, test, and research without leaving Qwen.

Setup (once)

  • Work inside 01_hello_qwen, then run qwen.
  • Keep secrets in your shell (export env vars), not in files.

Configuration basics (settings.json)

  • qwen mcp list → confirm servers

  • /mcp → see tools and auth status

  • Before configuring a new server: run qwen mcp list and /mcp to see baseline

  • File: .qwen/settings.json (project) or ~/.qwen/settings.json (global)

  1. Playwright MCP (headless browser, capture, test flows)
  • Value: script user journeys; verify pages after changes.
  • Add .qwen/settings.json:
{
  "mcpServers": {
    "playwright": {
      "command": "npx",
      "args": [
        "@playwright/mcp@latest"
      ]
    }
  }
}
  • Configure Playwright as above, then run qwen mcp list and /mcp again to confirm
  • Ask (Playwright workflow prompt):
    • "now setup a simple page that shows galaxy. Take the screenshot to ensure it's all perfect and review it. Continue iterating after reviewing to get perfect galaxy view"
  1. Tavily Browser Search (web search + fetch)
  • Value: quick research, compare docs, gather refs.
{
  "mcpServers": {
    "tavily-remote": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.tavily.com/mcp/?tavilyApiKey=<your-api-key>"
      ]
    }
  }
}
  • Ask (search prompt): Check and research if gemini 3.0 and sonnet 4.5 are released.
  1. Context7MCP - Up-to-date Code Docs For Any Prompt
  • Value: focused answers + sources for decisions.
{
  "mcpServers": {
    "context7": {
      "command": "npx",
      "args": ["-y", "@upstash/context7-mcp", "--api-key", "YOUR_API_KEY"]
    }
  }
}
  1. OpenMemory (save facts across sessions)
    "openmemory": {
      "command": "npx",
      "args": [
        "-y",
        "openmemory"
      ],
      "env": {
        "OPENMEMORY_API_KEY": "YOUR_API_KEY"
      }
    }
  • Ask (mem prompt): Use add-memory tool and save that we prefer to use OpenAI Agents SDK, MCP, A2A, Kubernetes for Agentic AI.

Daily flow (2 minutes)

  1. qwen mcp list → confirm servers
  2. /mcp → see tools and auth status
  3. Before configuring a new server: run qwen mcp list and /mcp to see baseline
  4. Configure Playwright as above, then run qwen mcp list and /mcp again to confirm
  5. Ask (Playwright workflow prompt):
    • "now setup a simple page that shows galaxy. Take the screenshot to ensure it's all perfect and review it. Continue iterating after reviewing to get perfect galaxy view"
  6. Save a team fact: SaveMemory("We release on Fridays 3pm UTC.")

Trust, safety, and approvals

  • Start with defaults (confirmation on tools). Toggle with /approval-mode when confident.
  • In .qwen/settings.json, you can whitelist/blacklist tools (e.g., allow Shell(git status), block rm).

How to choose servers (think like a technical business manager)

Outcome first: What decision or workflow does this unblock (e.g., “verify login flow daily”, “gather competitive notes in 5 minutes”)?

  • ROI quick check: Setup < 15 min, saves > 30 min/week, reduces context switching.
  • Security posture: Auth via env vars; no broad shell; whitelist tools; avoid storing tokens in repo.
  • Maintenance: Active repo, clear docs, simple add/remove commands, minimal deps.
  • Integration fit: Complements your stack (browser, search, memory); avoids overlap.
  • Proof-of-value: 1‑day pilot with a concrete metric (e.g., flaky login caught, 3 curated sources with quotes, meeting brief auto‑generated).