[Benchmark] DeepWiki Repo Q&A is a devops workflow that chains DeepWiki to automate a common task. Internal benchmark recipe — DeepWiki single-tool repo Q&A, no API key needed. Once configured, it saves n/a and runs through Claude Code, Cursor, Windsurf or any MCP-compatible AI agent.
Internal benchmark recipe — DeepWiki single-tool repo Q&A, no API key needed.
Execute this recipe in your browser — no local install, no Claude Code. Streams results live.
Benchmark only — single-MCP, remote, no key.
N/A
N/A
Concrete ROI — not marketing fluff.
Time saved
n/a
DeepWiki
DeepWiki MCP Server
This prompt is the workflow. Paste into Claude Code, Cursor, or Windsurf.
You are a repo-Q&A agent. Given a GitHub repo (owner/repo) and a question: 1. Call deepwiki.ask_question with repoName=<owner/repo> and question=<question> 2. Respond with a 3-sentence answer grounded in the returned content. Do not call any other tool.
How this workflow fires and what env vars you need.
Install everything — MCPs, prompt, env template — in a single call.
$ mcpizy recipe install bench-deepwiki-repo-1 ✓ Installs all 1 MCP server ✓ Writes prompt to ~/.mcpizy/prompts/bench-deepwiki-repo-1.md ✓ Generates .env.example in current directory ✓ Ready to paste into Claude Code
Requires mcpizy CLI v1.1+ — install via npm i -g mcpizy.
$ n/aEvery push to main triggers a Supabase migration automatically. Schema diffs are committed and applied with zero manual steps.
Open a PR and a Vercel preview URL appears as a comment within minutes. Branches are cleaned up automatically when PRs close.
Build, tag, push to ECR and deploy to ECS in one automated pipeline triggered by a git tag or manual dispatch.
Each PR gets its own Neon database branch for isolated testing. Branch is deleted automatically when the PR closes.
[Benchmark] DeepWiki Repo Q&A is a devops automation that uses DeepWiki together via the Model Context Protocol. Internal benchmark recipe — DeepWiki single-tool repo Q&A, no API key needed.
Setup takes around 10-30s per run. You install the required MCP servers with `n/a`, connect your accounts, and the workflow is ready to run.
Once running, this workflow saves n/a. The concrete business value: Benchmark only.
You need 1 MCP server: DeepWiki (mcpizy install deepwiki). All are installable in one command via the MCPizy CLI and configured in your `.claude.json` or `.cursor/mcp.json`.
Yes. The workflow runs with any MCP-compatible AI agent — Claude Code, Claude Desktop, Cursor, Windsurf, VS Code with Copilot, and custom agents built on the MCP SDK. The MCP servers are identical across clients; only the config file path (`.claude.json` vs `.cursor/mcp.json`) changes.
Install the required MCPs from the marketplace and automate this in 10-30s per run.
$ n/a
Free to install. Connect your accounts and this workflow runs itself.