@lishenxydlgzs/aws-athena-mcp

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by lishenxydlgzs

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MCP server to run AWS Athena queries

What is @lishenxydlgzs/aws-athena-mcp

@lishenxydlgzs/aws-athena-mcp

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A Model Context Protocol (MCP) server for running AWS Athena queries. This server enables AI assistants to execute SQL queries against your AWS Athena databases and retrieve results.

Usage

  1. Configure AWS credentials using one of the following methods:

    • AWS CLI configuration
    • Environment variables (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY)
    • IAM role (if running on AWS)
  2. Add the server to your MCP configuration:

{
  "mcpServers": {
    "athena": {
      "command": "npx",
      "args": ["-y", "@lishenxydlgzs/aws-athena-mcp"],
      "env": {
        // Required
        "OUTPUT_S3_PATH": "s3://your-bucket/athena-results/",
        
        // Optional AWS configuration
        "AWS_REGION": "us-east-1",                    // Default: AWS CLI default region
        "AWS_PROFILE": "default",                     // Default: 'default' profile
        "AWS_ACCESS_KEY_ID": "",                      // Optional: AWS access key
        "AWS_SECRET_ACCESS_KEY": "",                  // Optional: AWS secret key
        "AWS_SESSION_TOKEN": "",                      // Optional: AWS session token
        
        // Optional server configuration
        "ATHENA_WORKGROUP": "default_workgroup",      // Optional: specify the Athena WorkGroup
        "QUERY_TIMEOUT_MS": "300000",                 // Default: 5 minutes (300000ms)
        "MAX_RETRIES": "100",                         // Default: 100 attempts
        "RETRY_DELAY_MS": "500"                       // Default: 500ms between retries
      }
    }
  }
}
  1. The server provides the following tools:
  • run_query: Execute a SQL query using AWS Athena

    • Parameters:
      • database: The Athena database to query
      • query: SQL query to execute
      • maxRows: Maximum number of rows to return (default: 1000, max: 10000)
    • Returns:
      • If query completes within timeout: Full query results
      • If timeout reached: Only the queryExecutionId for later retrieval
  • get_status: Check the status of a query execution

    • Parameters:
      • queryExecutionId: The ID returned from run_query
    • Returns:
      • state: Query state (QUEUED, RUNNING, SUCCEEDED, FAILED, or CANCELLED)
      • stateChangeReason: Reason for state change (if any)
      • submissionDateTime: When the query was submitted
      • completionDateTime: When the query completed (if finished)
      • statistics: Query execution statistics (if available)
  • get_result: Retrieve results for a completed query

    • Parameters:
      • queryExecutionId: The ID returned from run_query
      • maxRows: Maximum number of rows to return (default: 1000, max: 10000)
    • Returns:
      • Full query results if the query has completed successfully
      • Error if query failed or is still running
  • list_saved_queries: List all saved (named) queries in Athena.

  • Returns:

    • An array of saved queries with id, name, and optional description
    • Queries are returned from the configured ATHENA_WORKGROUP and AWS_REGION
  • run_saved_query: Run a previously saved query by its ID.

  • Parameters:

    • namedQueryId: ID of the saved query
    • databaseOverride: Optional override of the saved query's default database
    • maxRows: Maximum number of rows to return (default: 1000)
    • timeoutMs: Timeout in milliseconds (default: 60000)
  • Returns:

    • Same behavior as run_query: full results or execution ID

Usage Examples

Show All Databases

Message to AI Assistant: List all databases in Athena

MCP parameter:

{
  "database": "default",
  "query": "SHOW DATABASES"
}

List Tables in a Database

Message to AI Assistant: Show me all tables in the default database

MCP parameter:

{
  "database": "default",
  "query": "SHOW TABLES"
}

Get Table Schema

Message to AI Assistant: What's the schema of the asin_sitebestimg table?

MCP parameter:

{
  "database": "default",
  "query": "DESCRIBE default.asin_sitebestimg"
}

Table Rows Preview

Message to AI Assistant: Show some rows from my_database.mytable

MCP parameter:

{
  "database": "my_database",
  "query": "SELECT * FROM my_table LIMIT 10",
  "maxRows": 10
}

Advanced Query with Filtering and Aggregation

Message to AI Assistant: Find the average price by category for in-stock products

MCP parameter:

{
  "database": "my_database",
  "query": "SELECT category, COUNT(*) as count, AVG(price) as avg_price FROM products WHERE in_stock = true GROUP BY category ORDER BY count DESC",
  "maxRows": 100
}

Checking Query Status

{
  "queryExecutionId": "12345-67890-abcdef"
}

Getting Results for a Completed Query

{
  "queryExecutionId": "12345-67890-abcdef",
  "maxRows": 10
}

Listing Saved Queries

{
  "name": "list_saved_queries",
  "arguments": {}
}

Running a Saved Query

{
  "name": "run_saved_query",
  "arguments": {
    "namedQueryId": "abcd-1234-efgh-5678",
    "maxRows": 100
  }
}

Requirements

  • Node.js >= 16
  • AWS credentials with appropriate Athena and S3 permissions
  • S3 bucket for query results
  • Named queries (optional) must exist in the specified ATHENA_WORKGROUP and AWS_REGION

License

MIT

Repository

GitHub Repository

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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.