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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.

Related MCP server: crawl-mcp-server

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
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maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

Resources

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If you are the server author, to access and configure the admin panel.

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MCP directory API

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/SMB-Team-Technology/web-crawler-mcp'

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