Google Search (via Chrome)
This MCP tool, developed by Chris Mann, enables Google search and webpage content extraction using the Chrome browser. Built with TypeScript and leveraging the Model Context Protocol SDK, it provides a bridge between AI models like Claude and web-based information sources. The implementation focuses on automating browser interactions to perform searches and extract content, making it easier for AI systems to access up-to-date web information. It's particularly useful for enhancing AI capabilities with real-time web data, enabling use cases like fact-checking, research assistance, and content generation that requires current online information.
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/cmann50/mcp-chrome-google-search
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve Google Search (via Chrome) 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.