web-crawler-mcp
A minimal MCP server that crawls web pages using crawl4ai and returns content as markdown, deployable to Cloud Run.
README
web-crawler-mcp
A minimal crawl4ai crawler exposed as an MCP server, deployable to Cloud Run.
What it does
Exposes a single MCP tool, crawl(url, max_length), which fetches a page with crawl4ai's headless-browser crawler and returns its content as markdown.
Local development
pip install -r requirements.txt
playwright install --with-deps chromium
crawl4ai-setup
python src/server.py
The server listens on PORT (default 8080) using the MCP Streamable HTTP transport, reachable at http://localhost:8080/mcp.
Deployment
.github/workflows/deploy.yml builds the Docker image with Cloud Build and deploys it to Cloud Run on every push to main that touches src/, Dockerfile, or requirements.txt.
Required GitHub Actions secrets:
GCP_SA_KEY— service account key JSON used to authenticate to Google Cloud.GCP_PROJECT_ID— the target GCP project ID.
The Cloud Run service (web-crawler-mcp, region us-central1) is deployed with --allow-unauthenticated, matching the reference deployment pattern. Restrict access with IAM invoker bindings or a load balancer in front if the endpoint needs to be private.
Connecting an MCP client
Point an MCP client (Streamable HTTP transport) at:
https://<cloud-run-service-url>/mcp
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.