pulsemcp scanned Safe content atomic mcp-remote

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.

Cognium trust score
64%
Tier
Scanned

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
Author type
human
Last scanned
2026-09-02
Updated
2026-09-02
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Use via MCP

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
Swap --scope user for --scope project to commit it to .mcp.json.

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