About Buscador Google
Buscador Google is a hosted search MCP server for AI agents, covering web, local businesses, news, media, products, scholarly work and patents. It also extracts page text and metadata, and accepts up to 100 queries in one call.
Key features
- 01Search web results and news
- 02Find local businesses and map listings
- 03Search images, videos and products
- 04Search scholarly articles and patents
- 05Extract page text and metadata
- 06Submit up to 100 queries per call
Use cases
- 01Build a prospect list of local businesses
- 02Review recent news on a topic
- 03Compare results by opening selected pages
MCP support
Exposes 11 search and page-reading tools to MCP clients. The hosted server supports MCP over HTTP.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://api.mcp.ai/p_busca_googleclaude mcp add --transport http dir-busca-google https://api.mcp.ai/p_busca_google{"mcpServers":{"dir-busca-google":{"type":"http","url":"https://api.mcp.ai/p_busca_google"}}}Open in Cursor{"servers":{"dir-busca-google":{"type":"http","url":"https://api.mcp.ai/p_busca_google"}}}Open in VS Code{"mcpServers":{"dir-busca-google":{"type":"http","url":"https://api.mcp.ai/p_busca_google"}}}{"mcpServers":{"dir-busca-google":{"serverUrl":"https://api.mcp.ai/p_busca_google"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
Tools
18| Parameter | Type | Required | Description |
|---|---|---|---|
| pais | string | No | |
| local | string | No | |
| idioma | string | No | |
| limite | number | No | |
| pagina | number | No | |
| periodo | enum | No | qdr:h | qdr:d | qdr:w | qdr:m | qdr:y |
| consultas | array | Yes |
Details
The maintainer has not added details yet. Check the README in the repository.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.