qsearch
Multi-engine search for AI agents. Trust scoring, local corpus, MCP-native. Self-hostable, BYOK.
What is qsearch?
qsearch is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to multi-engine search for ai agents. trust scoring, local corpus, mcp-native. self-hostable, byok.
Multi-engine search for AI agents. Trust scoring, local corpus, MCP-native. Self-hostable, BYOK.
This server falls under the Search & Data Extraction category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Multi-engine search for AI agents. Trust scoring, local corp
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx io-github-theyahia-qsearchConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about qsearch
What is qsearch?
qsearch is a Model Context Protocol (MCP) server that multi-engine search for ai agents. trust scoring, local corpus, mcp-native. self-hostable, byok. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install qsearch?
Follow the installation instructions on the qsearch GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with qsearch?
qsearch works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is qsearch free to use?
Yes, qsearch is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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