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AXYS MCP Lite

A Model Context Protocol (MCP) server that provides AI-powered search capabilities, enabling AI assistants like Claude to search through structured and unstructured data using natural language commands.

npm version License: MIT

Features

  • AI-Powered Structured Search: Natural language queries on structured databases

  • AI-Powered Unstructured Search: Search documents, videos, and files using natural language

  • Semantic Search: AI understands context and meaning for better results

  • Multiple Content Types: Search PDFs, Word documents, videos, images, and more

  • Secure Authentication: API key-based authentication for secure access

Prerequisites

  • Node.js 18 or higher

  • MCP API key

  • Claude Desktop application or any MCP-compatible client

Installation

npm install -g axys-mcp-lite

From Source

git clone https://github.com/rajesh-siliconvalleycloudit/axys-mcp-lite.git cd axys-mcp-lite npm install npm run build

Quick Start

1. Get Your MCP API Key

Contact your administrator to obtain your MCP API key.

2. Configure Claude Desktop

Add this configuration to your Claude Desktop config file:

On macOS: ~/Library/Application Support/Claude/claude_desktop_config.json On Windows: %APPDATA%\Claude\claude_desktop_config.json

{ "mcpServers": { "axys-mcp-lite": { "command": "npx", "args": ["-y", "axys-mcp-lite"], "env": { "AXYS_API_HOST": "https://your-axys-host.com", "MCP_KEY": "your-mcp-key-here" } } } }

3. Restart Claude Desktop

Restart Claude Desktop to load the MCP server. You should now be able to use the AI search commands!

Available Tools

1. ai_search_structured

Search structured data sources using natural language.

Parameters:

  • query (required): Natural language query

Example:

Find all users in engineering department

2. ai_search_unstructured

Search documents, videos, and files using natural language.

Parameters:

  • query (required): Natural language query

  • searchIndices (optional): Specific index to search (e.g., 'video', 'document')

  • fileOnly (optional): Return only file references without content

Example:

Find deployment documentation videos

3. validate_connection

Validate connection to MCP API.

Usage Examples

"Find all employees named John" "Show customers with revenue over $1M" "List users in the Sales department"
"How to install AXYS?" "Find videos about API integration" "Search for architecture diagrams"

Configuration Options

Environment Variables

Create a .env file in your project directory:

# Required AXYS_API_HOST=https://your-axys-host.com MCP_KEY=your-mcp-key-here # Optional: Logging configuration LOG_LEVEL=info

Development

Running Locally

# Install dependencies npm install # Run in development mode npm run dev # Build for production npm run build # Start production server npm start

Project Structure

axys-mcp-lite/ ├── src/ │ ├── index.ts # Main MCP server implementation │ ├── axys-client.ts # API client wrapper │ └── types.ts # TypeScript type definitions ├── dist/ # Compiled JavaScript output ├── package.json ├── tsconfig.json ├── .env.example └── README.md

Troubleshooting

Connection Issues

  • Verify AXYS_API_HOST URL is correct

  • Check MCP_KEY is valid and active

  • Ensure network connectivity to the API server

No Results

  • Try rephrasing your query

  • Check if the data exists in the system

  • Verify your API key has appropriate permissions

API Response Codes

Code

Description

200

Success

201

AI Tool not configured

401

Invalid API Key

402

Bad Request

500

Internal Server Error

Security Best Practices

  1. Never commit API keys to version control

  2. Use environment variables for sensitive configuration

  3. Regularly rotate API keys for security

  4. Monitor API usage for unusual activity

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

  1. Fork the repository

  2. Create your feature branch (git checkout -b feature/AmazingFeature)

  3. Commit your changes (git commit -m 'Add some AmazingFeature')

  4. Push to the branch (git push origin feature/AmazingFeature)

  5. Open a Pull Request

Support

For issues:

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

Changelog

Version 1.0.0

  • Initial release

  • AI-powered structured search

  • AI-powered unstructured search (documents, videos, files)

  • Connection validation tool


Made with care for the MCP community

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security - not tested
A
license - permissive license
-
quality - not tested

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