pulsemcp Safe content atomic mcp-remote

Oxylabs Web Scraping

Oxylabs MCP server provides a bridge to Oxylabs web scraping services, enabling AI assistants to extract and process web content. Built with Python 3.12+, it handles authentication through Oxylabs credentials and transforms raw web data into clean, structured formats using lxml and markdownify. The implementation supports containerized deployment via Docker and includes comprehensive error handling. This server is particularly valuable for workflows requiring real-time web data extraction, content analysis, or monitoring of web resources without requiring users to manually collect information.

Cognium trust score

65%

Tier

Unverified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: cloud-infra
Source: PulseMCP
Repository: github.com/oxylabs/oxylabs-mcp
Author type: human
Updated: 2026-05-05

View source Find related skills

MCP

Resolve Oxylabs Web Scraping from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"