datalake-mcp

ai-dataplatform-hub/datalake-mcp

3.2

If you are the rightful owner of datalake-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to dayong@mcphub.com.

The DataLake MCP Server is a production-ready Model Context Protocol server that provides a standardized interface for querying AWS Data Lake services using natural language.

Tools
3
Resources
0
Prompts
0

🔌 DataLake MCP Server

Production-ready Model Context Protocol (MCP) server that exposes AWS Data Lake services through a standardized interface, enabling any AI assistant to query your data lake using natural language.

🎯 Overview

This MCP server bridges the gap between AI assistants and AWS Data Lakes, allowing natural language queries on S3, Glue Catalog, and Athena without writing SQL or boto3 code.

Status: 🚧 Active Development | 📅 Started: January 2025

✨ Features

Current:

  • 🏗️ Project structure and architecture defined
  • 📋 MCP protocol implementation planned
  • 📚 Documentation in progress

Planned (Week 1-2):

  • ✅ S3 resource exposure (list buckets, objects)
  • ✅ Basic MCP server implementation
  • ✅ Glue Catalog integration

Planned (Week 3-4):

  • 🔄 Athena query execution
  • 🔒 Lake Formation security
  • 💾 Caching layer
  • 📊 Cost estimation tools

Future:

  • 🔍 Semantic catalog search
  • 🤖 AI-powered query optimization
  • 📈 Data quality checks
  • 🔄 Real-time data access

🏗️ Architecture

┌─────────────────────────────────┐ │ AI Client │ │ (Claude, GPT, Custom Apps) │ └──────────────┬──────────────────┘ │ MCP Protocol ↓ ┌─────────────────────────────────┐ │ DataLake MCP Server │ │ ┌───────────────────────────┐ │ │ │ Resources │ │ │ │ - S3 buckets/objects │ │ │ │ - Glue tables/schemas │ │ │ │ - Athena queries │ │ │ └───────────────────────────┘ │ │ ┌───────────────────────────┐ │ │ │ Tools │ │ │ │ - query_athena() │ │ │ │ - read_s3_object() │ │ │ │ - search_catalog() │ │ │ └───────────────────────────┘ │ └──────────────┬──────────────────┘ │ ↓ ┌─────────────────────────────────┐ │ AWS Data Lake │ │ S3 | Glue | Athena | LakeForm │ └─────────────────────────────────┘

🚀 Quick Start

💡 Example Usage

Coming soon! Examples of natural language queries:

"What tables do we have about customers?" → Lists all customer-related tables from Glue Catalog

"Show me sample data from orders table" → Executes Athena query and returns results

"Find all datasets related to sales in 2024" → Semantic search across data catalog

Prerequisites

Python 3.11+
AWS Account with Data Lake
AWS CLI configured
MCP-compatible client

🤝 Contributing

This project is in early development. Contributions welcome once v0.1 is released!

📄 License

MIT License - see LICENSE file

🔗 Links

Model Context Protocol Spec
AWS SDK for Python (boto3)
Project Documentation (coming soon)

📫 Contact

GitHub: @ai-dataplatform-hub
Email: ai.dataplatform.io@gmail.com
Issues: Report a bug