s3-mcp-server

s3-mcp-server

A remote, OAuth2-authenticated MCP server that provides read-only S3 tools (list buckets, list objects, check public access, get bucket size) designed to run on ECS Fargate with Auth0 as the identity provider.

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S3 MCP server on ECS Fargate

A remote, OAuth2-authenticated MCP server exposing read-only S3 tools (list_buckets, list_objects, get_bucket_public_access, get_bucket_size), designed to run as an ECS Fargate task behind an ALB and CloudFront, with Auth0 as the identity provider.

How it fits together

  • CloudFront terminates TLS at the edge and forwards every header (including Authorization) to an internal ALB over plain HTTP.
  • ALB hands the request to the ECS Fargate task on port 8080.
  • The task (server.py) validates the bearer token against Auth0 before running any tool, then talks to S3 using the task's IAM role — no static AWS credentials anywhere.
  • The task reaches both Auth0's JWKS endpoint and S3's public API through a NAT Gateway, since it runs in private subnets and no S3 VPC endpoint is configured.

The OAuth handshake (login, PKCE code exchange) happens entirely between the MCP client (e.g. Claude Desktop) and Auth0 — the server is only involved at the very start (serving its own discovery document) and the very end (validating the resulting token). Keep that in mind when debugging: a failed login never shows up in this server's logs, because the server was never part of that exchange.

Auth0 setup

You need an Auth0 tenant (the free tier is enough) with two things in it:

  1. An API — this is what makes Auth0 issue real JWT access tokens instead of opaque ones.

    • Dashboard → Applications → APIs → Create API
    • Identifier: the exact URL clients will connect to, e.g. https://your-domain.example.com/sse — this becomes AUTH0_AUDIENCE and must match byte-for-byte what you deploy behind.
    • Signing algorithm: RS256 (default)
  2. An Application — what the MCP client authenticates as.

    • Dashboard → Applications → Applications → Create Application
    • Type: Regular Web Application
    • In Settings, set Allowed Callback URLs to whatever redirect URI(s) your MCP client uses (for Claude Desktop: https://claude.ai/api/mcp/auth_callback)
    • Note the Domain, Client ID, and Client Secret — these become AUTH0_DOMAIN / AUTH0_CLIENT_ID / the client secret you give your MCP client (the server itself never needs the secret).
  3. Authorize the Application for the API — this step is easy to miss. Creating an API and an Application separately does not link them. Go to the API → Application Access tab → toggle your Application on. Skip this and every authorization attempt fails with invalid_request / "Client is not authorized to access resource server", before the client ever sees a login page.

Local test (no AWS needed for the transport layer)

cp .env.example .env
# edit .env with your Auth0 tenant details if you want to test auth locally
pip install -r requirements.txt
python server.py

Server listens on http://localhost:8080/sse. /health returns 200 ok with no auth required — that's the ALB target group health check path.

Every other route requires Authorization: Bearer <token> where the token is an Auth0 access token (JWT, aud matching AUTH0_AUDIENCE) for an app client matching AUTH0_CLIENT_ID.

Docker

docker build -t s3-mcp-server .
docker run -p 8080:8080 --env-file .env s3-mcp-server

Deploying to Fargate

cd infra
pip install -r requirements.txt   # into a venv
cdk bootstrap   # first time only, per account/region
cdk deploy \
  -c auth0_domain=your-tenant.us.auth0.com \
  -c auth0_client_id=your-application-client-id \
  -c auth0_audience=https://your-domain.example.com/sse

auth0_audience should match the CloudFront domain CDK is about to create, with /sse appended — you likely won't know it on the very first deploy. Deploy once to get the DistributionURL output, then redeploy with the real audience value (this only needs to happen once; the CloudFront domain is stable across subsequent deploys of the same stack).

Instead of passing -c flags every time, you can put them in a gitignored infra/cdk.context.json:

{
  "auth0_domain": "your-tenant.us.auth0.com",
  "auth0_client_id": "your-application-client-id",
  "auth0_audience": "https://your-domain.example.com/sse"
}

Things that bite people

  1. ALB idle timeout. SSE connections are long-lived. The ALB's default idle timeout (60s) will kill them. This stack sets it to 300 (5 min) — raise it further if your client doesn't send periodic pings.

  2. Health check path. Target group health check points at /health, not /sse/sse requires auth and is a streaming response, neither of which the ALB health checker expects.

  3. Credentials. The container never sets AWS credentials — boto3 picks them up automatically from the Fargate task's IAM role via the container credentials endpoint. Don't bake keys into the image or env vars.

  4. Egress. The task fetches Auth0's JWKS over HTTPS on first request (then caches for an hour), and calls S3's public API for every tool call — both go out through the NAT Gateway, since this stack doesn't configure an S3 VPC Gateway Endpoint. Make sure the task's subnet actually has a NAT route, or add a Gateway Endpoint for S3 (free, and keeps that traffic off the public internet).

  5. The MCP SDK's own DNS-rebinding protection will silently break this behind any real domain. FastMCP's TransportSecuritySettings defaults to an empty allowed-hosts list, which rejects every request that arrives with a real Host header (like your CloudFront domain) — even after auth succeeds — with 421 Misdirected Request. This happens after the OAuth flow completes, so it's easy to mistake for an auth bug. This server disables it in server.py, since Auth0AuthMiddleware already gates every route with bearer-token auth:

    mcp = FastMCP(
        "s3-mcp-server",
        transport_security=TransportSecuritySettings(enable_dns_rebinding_protection=False),
    )
    

Minimal IAM task role policy (read-only tools above)

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "S3ReadOnly",
      "Effect": "Allow",
      "Action": [
        "s3:ListAllMyBuckets",
        "s3:ListBucket",
        "s3:GetBucketAcl",
        "s3:GetBucketPolicyStatus",
        "s3:GetBucketPolicy"
      ],
      "Resource": "*"
    }
  ]
}

Scope Resource down to specific bucket ARNs once you know which buckets this agent should actually be allowed to see. If you later add a write tool (e.g. lifecycle policy changes), give it its own narrower statement rather than widening this one.

MCP client config

Point any MCP client that supports remote SSE servers at your deployed URL, with the Auth0 Application's Client ID and Secret from the setup steps above:

{
  "mcpServers": {
    "s3": {
      "url": "https://your-domain.example.com/sse",
      "oauth_client_id": "your-application-client-id",
      "oauth_client_secret": "your-application-client-secret"
    }
  }
}

The exact config shape depends on the client — Claude Desktop exposes these as form fields under its Connectors settings rather than raw JSON. Either way, the OAuth redirect/token exchange is handled by the client per the MCP authorization spec; this server only validates the resulting bearer token on each request.

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