[Benchmark] Context7 Docs Lookup is a devops workflow that chains Context7 to automate a common task. Internal benchmark recipe — Context7 single-tool docs query, 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 — Context7 single-tool docs query, no API key needed.
Execute this recipe in your browser — no local install, no Claude Code. Streams results live.
Benchmark only — single-MCP, no key, public docs.
N/A
N/A
Concrete ROI — not marketing fluff.
Time saved
n/a
Context7
Context7 MCP Server
This prompt is the workflow. Paste into Claude Code, Cursor, or Windsurf.
You are a docs-lookup agent. Given a library name and topic: 1. Call context7.resolve-library-id with libraryName=<library> 2. Pick the top-ranked Context7 library id from step 1 3. Call context7.get-library-docs with context7CompatibleLibraryID=<that_id> and topic=<topic> 4. Respond with a concise 3-sentence summary grounded in the docs. 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-context7-docs-1 ✓ Installs all 1 MCP server ✓ Writes prompt to ~/.mcpizy/prompts/bench-context7-docs-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] Context7 Docs Lookup is a devops automation that uses Context7 together via the Model Context Protocol. Internal benchmark recipe — Context7 single-tool docs query, no API key needed.
Setup takes around 10-20s 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: Context7 (mcpizy install context7). 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 10-20s per run.
$ n/a
Free to install. Connect your accounts and this workflow runs itself.