Skip to main content
Glama

AWS Athena MCP Server

by diasrafael

AWS Athena MCP Server

A Model Context Protocol (MCP) server for AWS Athena that enables SQL queries and database exploration through a standardized interface.

🏗️ Project Structure

The project follows best practices for Python project organization:

aws-athena-mcp/ ├── src/ │ └── athena_mcp/ │ ├── core/ # Core system modules │ │ ├── config.py # Centralized configurations │ │ ├── exceptions.py # Custom exceptions │ │ └── __init__.py │ ├── services/ # Business services │ │ ├── athena_client.py # Athena client factory and management │ │ ├── athena_service.py # Main Athena operations │ │ └── __init__.py │ ├── utils/ # Utilities and helpers │ │ ├── formatters.py # Output formatters │ │ ├── helpers.py # Helper functions │ │ ├── validators.py # Validators │ │ └── __init__.py │ ├── handlers/ # MCP handlers │ │ ├── tool_handlers.py # MCP tool handlers │ │ └── __init__.py │ ├── server.py # Main MCP server │ └── __init__.py ├── tests/ │ ├── unit/ # Unit tests │ ├── integration/ # Integration tests │ └── __init__.py ├── main.py # Main entry point ├── setup.py # Installation configuration ├── pyproject.toml # Development tools configuration ├── requirements.txt # Dependencies └── README.md

🚀 Features

  • Modular Architecture: Code organized in well-defined modules following single responsibility principle
  • Complete Type Hints: Static typing for better maintainability
  • Robust Error Handling: Custom exceptions and proper error handling
  • Centralized Configuration: All configurations in a single location
  • Tests Included: Unit and integration test structure
  • Structured Logging: Configurable logging system
  • Input Validation: Validators for different data types

🔌 MCP Configuration

To use this server in MCP clients like Cursor, add the following configuration to your mcp.json file:

{ "mcpServers": { "athena-connector": { "command": "python3", "args": ["/path/to/aws-athena-mcp/main.py"], "env": { "AWS_ACCESS_KEY_ID": "your-access-key", "AWS_SECRET_ACCESS_KEY": "your-secret-key", "AWS_REGION": "us-east-1", "AWS_S3_OUTPUT_LOCATION": "s3://your-bucket/athena-results/" } } } }

Configuration Options

Using Direct Credentials:
{ "command": "python3", "args": ["/path/to/aws-athena-mcp/main.py"], "env": { "AWS_ACCESS_KEY_ID": "AKIA...", "AWS_SECRET_ACCESS_KEY": "your-secret-key", "AWS_REGION": "us-east-1", "AWS_S3_OUTPUT_LOCATION": "s3://your-bucket/results/" } }
Using AWS Profile:
{ "command": "python3", "args": ["/path/to/aws-athena-mcp/main.py"], "env": { "AWS_PROFILE": "your-aws-profile", "AWS_REGION": "us-east-1", "AWS_S3_OUTPUT_LOCATION": "s3://your-bucket/results/" } }
Using System Default Credentials:
{ "command": "python3", "args": ["/path/to/aws-athena-mcp/main.py"], "env": { "AWS_S3_OUTPUT_LOCATION": "s3://your-bucket/results/" } }

Required Environment Variables

  • AWS_S3_OUTPUT_LOCATION: S3 location where query results will be stored

Optional Environment Variables

  • AWS_ACCESS_KEY_ID: AWS access key (if not using profile)
  • AWS_SECRET_ACCESS_KEY: AWS secret key (if not using profile)
  • AWS_PROFILE: Locally configured AWS profile
  • AWS_REGION or AWS_DEFAULT_REGION: AWS region (default: us-east-1)
  • LOG_LEVEL: Logging level (DEBUG, INFO, WARNING, ERROR)

⚠️ Security: For production environments, we recommend using IAM roles or AWS profiles instead of direct credentials in the configuration file.

📦 Installation

Development Installation

# Clone the repository git clone <repository-url> cd aws-athena-mcp # Install in development mode pip install -e .[dev]

Production Installation

pip install .

⚙️ Configuration

Configure the following environment variables:

# AWS credentials (optional if using profile) export AWS_ACCESS_KEY_ID="your-access-key" export AWS_SECRET_ACCESS_KEY="your-secret-key" # AWS region export AWS_DEFAULT_REGION="us-east-1" # Or use an AWS profile export AWS_PROFILE="your-profile" # S3 output location (required) export AWS_S3_OUTPUT_LOCATION="s3://your-bucket/athena-results/"

🎯 Usage

Run the Server

# Using the main entry point python main.py # Or using the installed command athena-mcp

Available Tools

  1. list_databases: Lists all available databases in Athena
  2. query_athena: Executes SQL queries in Athena
  3. describe_data_structure: Describes the structure of a database

🧪 Testing

# Run all tests pytest # Run only unit tests pytest tests/unit/ # Run with coverage pytest --cov=src/athena_mcp # Run specific tests pytest tests/unit/test_validators.py -v

🛠️ Development

Code Quality Tools

# Code formatting black src/ tests/ # Import sorting isort src/ tests/ # Type checking mypy src/ # Linting flake8 src/ tests/

Development Environment Setup

# Install development dependencies pip install -e .[dev] # Or install manually pip install pytest pytest-asyncio black isort flake8 mypy

📋 Implemented Best Practices

Architecture

  • Separation of Concerns: Each module has a specific responsibility
  • Dependency Inversion: Use of interfaces and dependency injection
  • Single Responsibility Principle: Classes and functions with single purpose
  • Factory Pattern: For AWS client creation
  • Strategy Pattern: For different types of formatting and validation

Code Quality

  • Type Hints: Static typing in all functions and methods
  • Docstrings: Complete documentation in Google Style format
  • Error Handling: Custom exceptions and proper handling
  • Logging: Structured and configurable logging system
  • Validation: Rigorous input validation

Project Structure

  • src/ Layout: Clear separation between source code and other files
  • Namespace Packages: Hierarchical organization of modules
  • Test Structure: Tests organized mirroring code structure
  • Configuration Files: Centralized and externalized configuration

🔧 Troubleshooting

Consult the TROUBLESHOOTING.md file for common issues and solutions.

📝 Module Structure

Core (src/athena_mcp/core/)

  • config.py: Centralized system configurations
  • exceptions.py: Custom domain exceptions

Services (src/athena_mcp/services/)

  • athena_client.py: AWS Athena client factory and management
  • athena_service.py: High-level services for Athena operations

Utils (src/athena_mcp/utils/)

  • formatters.py: Formatters for different output types
  • helpers.py: General helper functions and utilities
  • validators.py: Validators for different input types

Handlers (src/athena_mcp/handlers/)

  • tool_handlers.py: Handlers for MCP tools

🤝 Contributing

  1. Fork the project
  2. Create a 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

📄 License

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

Related MCP Servers

  • -
    security
    F
    license
    -
    quality
    A Model Context Protocol server that enables SQL query execution, database management, and business intelligence capabilities through MySQL connections.
    Last updated -
    JavaScript
  • -
    security
    -
    license
    -
    quality
    A Model Context Protocol server that provides tools for connecting to and interacting with various database systems (SQLite, PostgreSQL, MySQL/MariaDB, SQL Server) through a unified interface.
    Last updated -
    Python
  • -
    security
    F
    license
    -
    quality
    A Model Context Protocol server allowing Claude AI to interact with AWS resources through natural language, enabling users to query and manage AWS services without using the traditional AWS Console or CLI.
    Last updated -
    TypeScript
    • Apple
  • A
    security
    A
    license
    A
    quality
    A Model Context Protocol server that enables AI assistants to securely interact with OceanBase databases by listing tables, reading data, and executing SQL queries through a controlled interface.
    Last updated -
    1
    2
    Python
    Apache 2.0
    • Linux
    • Apple

View all related MCP servers

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/diasrafael/aws-athena-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server