Google Custom Search
This MCP server, developed by Allan Denot, provides web search capabilities using the Google Custom Search API. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers a streamlined interface for AI agents to perform web searches. The implementation focuses on simplifying the integration of Google's search functionality into AI workflows, requiring only an API key and search engine ID for setup. It's particularly useful for applications needing up-to-date web information, enabling use cases such as fact-checking, research assistance, and content generation without directly interacting with Google's API complexities.
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 2026-09-02.
Scan details: Circle-IR · 2026-09-02 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/adenot/mcp-google-search
- Author type
- human
- Last scanned
- 2026-09-02
- Updated
- 2026-09-02
Use via MCP
Resolve Google Custom 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.