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aws-athena-mcp

MCP.Pizza Chef: lishenxydlgzs

The aws-athena-mcp is an MCP server that enables AI assistants to execute SQL queries on AWS Athena databases. It facilitates seamless integration of Athena's powerful query engine into AI workflows by allowing real-time query execution and result retrieval. Configurable via AWS credentials and environment variables, it supports secure and scalable data querying within the MCP ecosystem.

Use This MCP server To

Execute SQL queries on AWS Athena from AI assistants Retrieve query results from Athena for data analysis Integrate Athena querying into automated AI workflows Enable real-time data access in AI-enhanced applications Run complex analytics queries on large datasets via MCP Automate report generation using Athena query results Combine Athena data with other MCP data sources Support multi-step reasoning with live Athena data

README

@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.

aws-athena-mcp MCP server

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

aws-athena-mcp FAQ

How do I configure AWS credentials for aws-athena-mcp?
You can configure credentials using AWS CLI, environment variables (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY), or IAM roles if running on AWS.
What is the required environment variable for query results?
You must set OUTPUT_S3_PATH to an S3 bucket path where Athena query results will be stored.
Can aws-athena-mcp handle complex SQL queries?
Yes, it supports running any valid AWS Athena SQL queries, including complex analytics and joins.
Is aws-athena-mcp compatible with multiple MCP clients?
Yes, it can be integrated with any MCP client that supports server connections.
How does aws-athena-mcp ensure secure access to AWS resources?
It relies on AWS credential management best practices, including IAM roles and environment variables.
Can I use aws-athena-mcp with other LLM providers like Claude or Gemini?
Yes, it is provider-agnostic and works with any LLM integrated via MCP clients.
What happens if a query fails or times out?
The server returns error details to the MCP client for handling and retry logic.
How do I add aws-athena-mcp to my MCP configuration?
Add it under mcpServers with the command 'npx -y @lishenxydlgzs/aws-athena-mcp' and set required environment variables.