Contextual AI RAG

v0.1.0Knowledge & Memorystable

RAG-enabled MCP server using Contextual AI. Supports single-agent and multi-agent modes.

io-github-nitishgourishetty-contextualmcpai-integration
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What is Contextual AI RAG?

Contextual AI RAG is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to rag-enabled mcp server using contextual ai. supports single-agent and multi-agent modes.

RAG-enabled MCP server using Contextual AI. Supports single-agent and multi-agent modes.

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

Features

  • RAG-enabled MCP server using Contextual AI. Supports single-

Use Cases

Build RAG systems with Contextual AI integration.
Support single-agent and multi-agent RAG architectures.
Community

Maintainer

LicenseMIT
Languagepython
Versionv0.1.0
UpdatedSep 18, 2025
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

NPM

npx -y contextual-mcp-server

PIP

pip install contextual-mcp-server

Manual Installation

npx -y contextual-mcp-server

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 Contextual AI RAG

What is Contextual AI RAG?

Contextual AI RAG is a Model Context Protocol (MCP) server that rag-enabled mcp server using contextual ai. supports single-agent and multi-agent modes. It connects AI assistants to external tools and data sources through a standardized interface.

How do I install Contextual AI RAG?

Install via npm with the command: npx -y contextual-mcp-server. 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 Contextual AI RAG?

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

Is Contextual AI RAG free to use?

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

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.

Quick Config Preview

{ "mcpServers": { "io-github-nitishgourishetty-contextual": { "command": "npx", "args": ["-y", "contextual-mcp-server"] } } }

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

Read the full setup guide →

Ready to use Contextual AI RAG?

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