Google Pse MCP
A Model Context Protocol (MCP) server providing access to Google Programmable Search Engine (PSE) and Custom Search Engine (CSE).
Que pouvez-vous faire avec Google Pse MCP ?
search: Search the web with Google Programmable Search Engine
Installation
Les étapes d'installation sont dans la documentation ci-dessous. Documentation
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
Google Programmable Search Engine (PSE) MCP Server
A Model Context Protocol (MCP) server for the Google Programmable Search Engine (PSE) API. This server exposes tools for searching the web with Google Custom Search engine, making them accessible to MCP-compatible clients such as VSCode, Copilot, and Claude Desktop.
Installation Steps
You do NOT need to clone this repository manually or run any installation commands yourself. Simply add the configuration below to your respective MCP client—your client will automatically install and launch the server as needed.
VS Code Copilot Configuration
Open Command Palette → Preferences: Open Settings (JSON), then add:
settings.json
{
// Other settings...
"mcp": {
"servers": {
"google-pse-mcp": {
"command": "npx",
"args": [
"-y",
"google-pse-mcp",
"https://www.googleapis.com/customsearch",
"<api_key>",
"<cx>",
"<siteRestricted>" // optional: true/false, defaults to true
]
}
}
}
}
Cline MCP Configuration Example
If you are using Cline, add the following to your cline_mcp_settings.json (usually found in your VSCode global storage or Cline config directory):
- macOS:
~/Library/Application Support/Code/User/globalStorage/saoudrizwan.claude-dev/settings/cline_mcp_settings.json - Windows:
%APPDATA%\Code\User\globalStorage\saoudrizwan.claude-dev\settings\cline_mcp_settings.json
{
"mcpServers": {
"google-pse-mcp": {
"disabled": false,
"timeout": 60,
"command": "npx",
"args": [
"-y",
"google-pse-mcp",
"https://www.googleapis.com/customsearch",
"<api_key>",
"<cx>",
"<siteRestricted>" // optional flag, true/false, defaults to true
],
"transportType": "stdio"
}
}
}
Important Notes
Don't forget to replace <api_key> and <cx> with your credentials in the configuration above.
You can also provide an optional <siteRestricted> flag (true or false) as the last argument to control which Google Custom Search endpoint is used. If omitted, it defaults to true.
Available Tools
This MCP server provides the following tool:
search: Search the web with Google Programmable Search Engine- Parameters:
q(string, required): Search querypage(integer, optional): Page numbersize(integer, optional): Number of search results to return per page (1-10)sort(string, optional): Sort expression (only 'date' is supported)safe(boolean, optional): Enable safe search filteringlr(string, optional): Restrict search to a particular language (e.g., lang_en)siteRestricted(boolean, optional): Use the Site Restricted API endpoint; defaults to true unless overridden via CLI flag
- Parameters:
Example Usage
# Search for "artificial intelligence"
result = await use_mcp_tool(
server_name="google-pse-mcp",
tool_name="search",
arguments={
"q": "artificial intelligence",
"size": 5,
"safe": True
}
)
Useful Links
Questions fréquentes
Qu'est-ce que Google Pse MCP ?
A Model Context Protocol (MCP) server providing access to Google Programmable Search Engine (PSE) and Custom Search Engine (CSE).
Comment installer Google Pse MCP ?
Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.
Google Pse MCP est-il open source ?
Oui. Son code est sur GitHub sous licence Apache-2.0.
Qui maintient Google Pse MCP ?
Il est publié par rendyfebry. AI.tn le référence sans le maintenir ni le recommander.
Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.