CodeRAG

v1.0.0Coding Agentsstable

A high-performance MCP server providing lightning-fast hybrid code search using TF-IDF and vector embeddings for AI assistants. It enables real-time codebase indexing and semantic retrieval with sub-50ms latency and offline support.

coderagmcpai-integration
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What is CodeRAG?

CodeRAG is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to high-performance mcp server providing lightning-fast hybrid code search using tf-idf and vector embeddings for ai assistants. it enables real-time codebase indexing and semantic retrieval with sub-50m...

A high-performance MCP server providing lightning-fast hybrid code search using TF-IDF and vector embeddings for AI assistants. It enables real-time codebase indexing and semantic retrieval with sub-50ms latency and offline support.

This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • A high-performance MCP server providing lightning-fast hybri

Use Cases

Search codebases using TF-IDF and vector embeddings with sub-50ms latency.
Index codebases in real-time with offline support.
SylphxAI

Maintainer

LicenseMIT License
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

NPM

npx -y coderag

Manual Installation

npx -y coderag

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about CodeRAG

What is CodeRAG?

CodeRAG is a Model Context Protocol (MCP) server that high-performance mcp server providing lightning-fast hybrid code search using tf-idf and vector embeddings for ai assistants. it enables real-time codebase indexing and semantic retrieval with sub-50ms latency and offline support. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install CodeRAG?

Install via npm with the command: npx -y coderag. Then add the server configuration to your AI client's JSON config file (e.g., claude_desktop_config.json or .cursor/mcp.json).

Which AI clients work with CodeRAG?

CodeRAG works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is CodeRAG free to use?

Yes, CodeRAG is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

Browse More Coding Agents MCP Servers

Explore all coding agents servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "coderag": { "command": "npx", "args": ["-y", "coderag"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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