athena-mcp-server
Remote MCP server for AWS Athena that allows executing SQL queries, checking status, fetching results, and managing saved queries via HTTP with AWS IAM credentials.
README
Athena MCP Server
A remote Model Context Protocol server for AWS Athena, deployed as a Docker container.
Customers connect Claude Desktop (or any MCP client) directly to this server using their own AWS IAM credentials — no local installation required.
Architecture
Claude Desktop ──HTTP POST /mcp──► athena-mcp-server ──► AWS Athena
(credentials in headers)
The server is fully stateless. Each request carries credentials in HTTP headers; no sessions, no credential caching.
MCP Tools
| Tool | Description |
|---|---|
run_query |
Execute a SQL query (waits up to timeoutMs, returns results or polling ID) |
get_status |
Poll the status of a running query |
get_result |
Fetch results of a completed query |
list_saved_queries |
List named queries in the workgroup |
run_saved_query |
Execute a named query by ID |
HTTP Headers
Every request to POST /mcp must include:
| Header | Required | Default | Description |
|---|---|---|---|
x-aws-access-key-id |
✅ | — | AWS Access Key ID |
x-aws-secret-access-key |
✅ | — | AWS Secret Access Key |
x-s3-output-path |
✅ | — | S3 path for query results, e.g. s3://bucket/prefix/ |
x-aws-region |
— | us-east-1 |
AWS region |
x-aws-session-token |
— | — | Session token (temporary credentials) |
x-athena-workgroup |
— | primary |
Athena workgroup |
Missing required headers → 401 Unauthorized.
Running locally
Prerequisites
- Docker + Docker Compose
- AWS credentials with the required IAM permissions (see below)
Build and run
docker compose up --build
The server starts on http://localhost:3000.
Smoke test
# Health check
curl http://localhost:3000/health
# → {"status":"ok"}
# Run a query
curl -X POST http://localhost:3000/mcp \
-H "Content-Type: application/json" \
-H "x-aws-access-key-id: AKIA..." \
-H "x-aws-secret-access-key: ..." \
-H "x-aws-region: us-east-1" \
-H "x-s3-output-path: s3://my-bucket/athena-results/" \
-d '{
"jsonrpc": "2.0",
"id": 1,
"method": "tools/call",
"params": {
"name": "run_query",
"arguments": {
"database": "default",
"query": "SELECT 1 AS test"
}
}
}'
Configuring Claude Desktop
Add the following to your claude_desktop_config.json
(~/Library/Application Support/Claude/claude_desktop_config.json on macOS):
{
"mcpServers": {
"teramot-athena": {
"type": "http",
"url": "https://athena-mcp.teramot.com/mcp",
"headers": {
"x-aws-access-key-id": "AKIA...",
"x-aws-secret-access-key": "...",
"x-aws-region": "us-east-1",
"x-athena-workgroup": "primary",
"x-s3-output-path": "s3://customer-bucket/athena-results/"
}
}
}
}
Replace the URL with your deployed server URL and fill in the customer's credentials.
Deploying to AWS ECS
1. Push the image to ECR
AWS_ACCOUNT_ID=123456789012
AWS_REGION=us-east-1
REPO=athena-mcp-server
aws ecr create-repository --repository-name $REPO --region $AWS_REGION
aws ecr get-login-password --region $AWS_REGION \
| docker login --username AWS --password-stdin \
$AWS_ACCOUNT_ID.dkr.ecr.$AWS_REGION.amazonaws.com
docker build -t $REPO .
docker tag $REPO:latest $AWS_ACCOUNT_ID.dkr.ecr.$AWS_REGION.amazonaws.com/$REPO:latest
docker push $AWS_ACCOUNT_ID.dkr.ecr.$AWS_REGION.amazonaws.com/$REPO:latest
2. Create an ECS task definition
- CPU / Memory: 256 CPU / 512 MB is sufficient for most workloads
- Port mappings: container port 3000
- Environment variables: none required (all config comes via headers)
- Health check:
CMD-SHELL wget -qO- http://localhost:3000/health || exit 1
3. Create an ECS service
- Use Fargate launch type for zero infrastructure management
- Attach to an Application Load Balancer (ALB) on HTTPS port 443
- Enable HTTPS on the ALB listener with an ACM certificate
- Target group: HTTP, port 3000, health check path
/health
4. (Optional) Custom domain
Create a Route 53 alias record pointing to the ALB, e.g. athena-mcp.teramot.com.
Required IAM permissions
The customer's IAM credentials must have the following permissions:
{
"Version": "2012-10-17",
"Statement": [
{
"Sid": "AthenaAccess",
"Effect": "Allow",
"Action": [
"athena:StartQueryExecution",
"athena:GetQueryExecution",
"athena:GetQueryResults",
"athena:ListNamedQueries",
"athena:GetNamedQuery",
"athena:ListWorkGroups"
],
"Resource": "*"
},
{
"Sid": "S3ResultsBucket",
"Effect": "Allow",
"Action": [
"s3:GetObject",
"s3:PutObject",
"s3:ListBucket"
],
"Resource": [
"arn:aws:s3:::customer-results-bucket",
"arn:aws:s3:::customer-results-bucket/*"
]
},
{
"Sid": "GlueMetastore",
"Effect": "Allow",
"Action": [
"glue:GetDatabase",
"glue:GetDatabases",
"glue:GetTable",
"glue:GetTables"
],
"Resource": "*"
}
]
}
Replace customer-results-bucket with the actual S3 bucket name.
Development
npm install
npm run dev # run with ts-node (hot-reload not included)
npm run build # compile TypeScript → dist/
npm run typecheck # type-check without emitting
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.