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Google Custom Search

This Google Custom Search Engine MCP server, developed by Richard-Weiss, provides a streamlined interface for AI assistants to perform web searches using Google's CSE API. Built with Python and leveraging the google-api-python-client library, it offers a single tool for executing searches and returning structured results including titles, links, and snippets. The implementation focuses on simplicity and ease of use, requiring minimal setup with just an API key and engine ID. It's particularly useful for enhancing AI models with up-to-date web information, enabling tasks like fact-checking, research assistance, or content generation with current data, while operating within Google's free daily quota of 100 searches.

Cognium trust score

100%

Tier

Verified

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: productivity
Source: PulseMCP
Repository: github.com/richard-weiss/mcp-google-cse
Author type: human
Last scanned: 2026-09-19
Updated: 2026-09-19

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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.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"