Deep Web Research
This web research MCP server, developed by qpd-v, enables AI models to conduct deep web searches and content extraction. Built with TypeScript and leveraging Playwright for web automation, it provides tools for Google searches, parallel multi-query searches, webpage visits, and screenshot capture. The implementation stands out with its robust error handling, consent dialog management, and content cleaning capabilities. It's particularly useful for AI assistants or applications needing to perform comprehensive online research, enabling tasks like information gathering, content analysis, and visual data collection without requiring deep knowledge of web scraping techniques.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- browser-automation
- Source
- PulseMCP
- Repository
- github.com/qpd-v/mcp-deepwebresearch
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Deep Web Research 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--scope user for --scope project to commit it to .mcp.json.