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RecipesDevOps[Benchmark] Context7 Docs Lookup

TL;DR

[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.

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DevOpsBeginner

[Benchmark] Context7 Docs Lookup

Internal benchmark recipe — Context7 single-tool docs query, no API key needed.

10-20s per run1 MCP requiredSaves n/a

How it works

📚Context7
Automated
1resolve-library-id2get-library-docs
Hostable — runs in your browser1/1 MCPs hosted

Run with MCPizy

New

Execute this recipe in your browser — no local install, no Claude Code. Streams results live.

Whitelisted MCPs: perplexity, notion, anthropic, openai, tavily, firecrawl, coingecko, stripe, slack, github, gitlab, linear, resend, sendgrid, elevenlabs, shopify, sentry, posthog, supabase-mcp, context7, deepwiki~4k tokens  ·  ~$0.012 est.

Why this combo?

Benchmark only — single-MCP, no key, public docs.

Without this workflow

N/A

With MCPizy

N/A

Business value

Concrete ROI — not marketing fluff.

Time saved

n/a

  • Benchmark only

Workflow steps

  1. 1
    resolve-library-id
  2. 2
    get-library-docs

Use cases

  • APC benchmark: Context7 docs-lookup

MCPs required

📚

Context7

Context7 MCP Server

View

Agent prompt (copy into Claude Code)

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.

Trigger & credentials

How this workflow fires and what env vars you need.

.env.example
ManualTrigger
📚Context7· 0 var

One-command deploy

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.

Quick install (MCPs only)

10-20s per run
$ n/a

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Frequently asked questions

What is this workflow?

[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.

How long does setup take?

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.

How much time does this workflow save?

Once running, this workflow saves n/a. The concrete business value: Benchmark only.

Which MCP servers do I need for this?

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`.

Does this work with Claude Code, Cursor, and Windsurf?

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.

Start building this workflow

Install the required MCPs from the marketplace and automate this in 10-20s per run.

$ n/a

📚Install Context7

Free to install. Connect your accounts and this workflow runs itself.