Web Search
This MCP server, developed for web search capabilities, provides a Puppeteer-based interface for AI assistants to perform Google searches and extract structured results. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers a containerized solution using Docker for easy deployment and scalability. The implementation focuses on headless browser automation, allowing for dynamic content retrieval and parsing. It's particularly useful for enhancing AI models with real-time web data, enabling tasks like information gathering, fact-checking, or content generation with current search results, while operating within a controlled environment that can handle modern web technologies and JavaScript-rendered content.
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
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/divslingerx/mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Web Search 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.