Google Search
This Google Search MCP server, developed using TypeScript and Python, provides AI assistants with a standardized interface to perform web searches and analyze webpage content. It integrates with the Google Custom Search API for retrieving search results and utilizes libraries like Trafilatura and BeautifulSoup for content extraction and markdown conversion. The server offers tools for executing searches, analyzing individual webpages, and batch processing multiple URLs. It's particularly valuable for AI systems that require up-to-date web information, enabling use cases such as research assistance, content summarization, and data aggregation from multiple online sources.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- search
- Source
- PulseMCP
- Repository
- github.com/mixelpixx/google-research-mcp
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Google 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.