mcp-server

crawl4ai-mcp-server

用于提供给本地开发者的 LLM的高效互联网搜索&内容获取的MCP Server, 节省你的token
155 stars34 forksPythonUpdated 1/23/2026100% free · open source
What it does

Provides a local MCP server that lets your LLM fetch and parse web pages efficiently, reducing token usage.

When to use it
  • •Your AI product needs up‑to‑date web content but you want to avoid sending full pages to the LLM.
  • •You run a private LLM and must keep all data processing on‑premise for compliance.
  • •You need a fast, reusable API for web‑scraping that returns clean text, HTML, or metadata.
Ready-to-paste prompt
curl -X POST http://localhost:8000/api/crawl \
  -H "Content-Type: application/json" \
  -d '{"url": "https://news.ycombinator.com/", "extract": "text", "max_depth": 1}'
Heads up: The server requires an OpenAI API key for the default "llm_extractor" mode; without setting `OPENAI_API_KEY` the endpoint will return a 500 error.
Saves to your device
Use with Claude
New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🔑 Needs an API key

Works after you add credentials — the setup agent will ask you for them.

Try it instantly — no install
Claude Code
mkdir -p ~/.claude/skills/crawl4ai-mcp-server && curl -fsSL https://workflowstacks.com/api/skills/crawl4ai-mcp-server/claude-skill -o ~/.claude/skills/crawl4ai-mcp-server/SKILL.md
Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)
claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How crawl4ai-mcp-server works
Codeflow
Free to inspect

Crawl4ai-mcp-server is a tiny Python project (~400 lines across 4 code files). Setup is light: installs like a normal app. Reading the code is optional. Last commit 9 months ago, MIT license, has a test suite.

Size
Tiny codebase
~400 lines · 4 code files · 3 min skim
Setup
One-command install
Installs like a normal app. Reading the code is optional.
Runs on
Python · Docker
No API keys detected
Python 96%Dockerfile 4%
Where to start reading
  1. 1
    README.md
    Start here — what it does and how to install it
  2. 2
    src/index.py
    Where the program starts running
  3. 3
    pyproject.toml
    Dependencies and the commands it exposes
What's in each folder
src/Core code — the actual logic2 files
READMEHas testsThin docsNo CIDocker readyMIT licenseLast update 9 mo ago
Quick Actions
Details
Creator
weidwonder
Language
Python
Category
mcp-server
Published
2/7/2025

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Featured on WorkflowStacks
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