TREQ
TREQ - MCP Tool Ranking, Retrieval, and Efficient Querying
What is TREQ?
TREQ is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to treq - mcp tool ranking, retrieval, and efficient querying
TREQ - MCP Tool Ranking, Retrieval, and Efficient Querying
This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- TREQ - MCP Tool Ranking, Retrieval, and Efficient Querying
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx treqConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about TREQ
What is TREQ?
TREQ is a Model Context Protocol (MCP) server that treq - mcp tool ranking, retrieval, and efficient querying It connects AI assistants to external tools and data sources through a standardized interface.
How do I install TREQ?
Follow the installation instructions on the TREQ GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with TREQ?
TREQ works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is TREQ free to use?
Yes, TREQ is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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MemOS
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Everos
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Browse More Knowledge & Memory MCP Servers
Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.
Set Up TREQ in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
Ready to use TREQ?
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