auth0-3lo-mcp-server

auth0-3lo-mcp-server

Demonstrates the AgentCore Gateway 3-Legged OAuth flow with Auth0, exposing whoami and echo tools for end-to-end authorization code testing.

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README

AgentCore Gateway 3LO: End-to-End Authorization Code Flow with Auth0

A complete working example of the Amazon Bedrock AgentCore Gateway 3-Legged OAuth (Authorization Code) flow using Auth0 as both the inbound JWT authorizer and the outbound credential provider, with a Lambda MCP server as the target.

What This Demonstrates

  1. Inbound JWT authentication (Auth0 token → Gateway)
  2. tools/list discovering tools from a remote MCP server
  3. tools/call triggering a -32042 OAuth elicitation
  4. User completing OAuth consent at Auth0
  5. Callback handler receiving the session_id
  6. CompleteResourceTokenAuth binding the token to the user
  7. Subsequent tools/call succeeding end-to-end

Architecture

MCP Client (curl) --> AgentCore Gateway --> Lambda MCP Server
       |                    |
       |                    +--> AgentCore Identity (token store)
       |                                |
       |                                +--> Auth0 (consent + code exchange)
       |
       +--> Callback Handler (Flask @ localhost:5000)
                    |
                    +--> Receives session_id after consent
                    +--> Calls CompleteResourceTokenAuth

Sequence Diagram

Prerequisites

  • AWS account with Amazon Bedrock AgentCore access
  • AWS CLI with bedrock-agentcore and bedrock-agentcore-control commands
  • Auth0 free developer account (sign up)
  • Python 3.12+
  • pip

Quick Start

# Clone this repo
git clone <repo-url>
cd agentcore-3lo-auth0-example

# Install dependencies
pip install -r requirements.txt

# Copy and fill in your credentials
cp .env.example .env
# Edit .env with your Auth0 and AWS values

# Start the Flask app
python app.py

Then follow the step-by-step guide below.

Step-by-Step Guide

Step 1: Auth0 Configuration

Create an API

  1. Auth0 Dashboard > APIs > Create API
  2. Name: agentcore-gateway-api
  3. Identifier: https://agentcore-gateway-api
  4. Signing Algorithm: RS256

Configure API Settings

  1. Permissions tab: Add access:tools (description: "Access MCP tools")
  2. Settings tab: Set "Allow Skipping User Consent" to OFF

API Permissions API Settings - Consent

Create an Application

  1. Auth0 Dashboard > Applications > Create Application
  2. Name: agentcore-3lo-repro, Type: Regular Web Application
  3. Settings:
    • Allowed Callback URLs: http://localhost:5000/callback, http://localhost:5000/token-callback
    • Allowed Logout URLs: http://localhost:5000/

You will add the AgentCore callback URL to this list in Step 4.

App Settings

Deploy a Post Login Action

  1. Auth0 Dashboard > Actions > Library > Build Custom
  2. Name: add-scp-claim, Trigger: Login / Post Login
exports.onExecutePostLogin = async (event, api) => {
  const scopes = event.transaction.requested_scopes || [];
  if (!scopes.includes('openid')) {
    scopes.push('openid');
  }
  api.accessToken.setCustomClaim('scp', scopes);
};
  1. Deploy, then add to the Login flow (Actions > Flows > Login)

Login Flow

Step 2: AWS IAM Role

Create an execution role for the Gateway with trust policy for bedrock-agentcore.amazonaws.com:

{
  "Version": "2012-10-17",
  "Statement": [
    {"Effect": "Allow", "Action": "bedrock-agentcore:*", "Resource": "*"},
    {"Effect": "Allow", "Action": "lambda:InvokeFunction", "Resource": "*"},
    {"Effect": "Allow", "Action": "secretsmanager:GetSecretValue",
     "Resource": "arn:aws:secretsmanager:<region>:<account>:secret:bedrock-agentcore-identity*"}
  ]
}

Step 3: Create AgentCore Gateway

Important: Use only allowedAudience. Do NOT use allowedClients with Auth0 — Auth0 places client_id in the azp claim, not client_id, causing insufficient_scope errors.

aws bedrock-agentcore-control create-gateway \
  --name "auth0-3lo-example" \
  --role-arn "arn:aws:iam::<account>:role/<role-name>" \
  --protocol-type MCP \
  --protocol-configuration '{"mcp":{"supportedVersions":["2025-11-25"]}}' \
  --authorizer-type CUSTOM_JWT \
  --authorizer-configuration '{
    "customJWTAuthorizer": {
      "discoveryUrl": "https://<tenant>.us.auth0.com/.well-known/openid-configuration",
      "allowedAudience": ["https://agentcore-gateway-api"]
    }
  }' \
  --region us-east-1

Wait for status: READY.

Step 4: Create OAuth2 Credential Provider

aws bedrock-agentcore-control create-oauth2-credential-provider \
  --name "auth0-3lo-example" \
  --credential-provider-vendor "CustomOauth2" \
  --oauth2-provider-config-input '{
    "customOauth2ProviderConfig": {
      "oauthDiscovery": {
        "authorizationServerMetadata": {
          "issuer": "https://<tenant>.us.auth0.com/",
          "authorizationEndpoint": "https://<tenant>.us.auth0.com/authorize",
          "tokenEndpoint": "https://<tenant>.us.auth0.com/oauth/token",
          "responseTypes": ["code"]
        }
      },
      "clientId": "<your-client-id>",
      "clientSecret": "<your-client-secret>",
      "clientAuthenticationMethod": "CLIENT_SECRET_POST"
    }
  }' \
  --region us-east-1

The response includes a callbackUrl. Add this URL to your Auth0 application's Allowed Callback URLs.

Step 5: Register Workload Identity Return URL

aws bedrock-agentcore-control update-workload-identity \
  --name "<gateway-id>" \
  --allowed-resource-oauth2-return-urls '["http://localhost:5000/agentcore-callback"]' \
  --region us-east-1

Step 6: Create Lambda MCP Server

Deploy the included Lambda function (see lambda/ directory):

cd lambda && zip -r ../lambda.zip . && cd ..

aws lambda create-function \
  --function-name auth0-3lo-mcp-server \
  --runtime python3.12 \
  --handler lambda_function.lambda_handler \
  --role arn:aws:iam::<account>:role/<lambda-role> \
  --zip-file fileb://lambda.zip \
  --region us-east-1

aws lambda create-function-url-config \
  --function-name auth0-3lo-mcp-server \
  --auth-type NONE \
  --region us-east-1

aws lambda add-permission \
  --function-name auth0-3lo-mcp-server \
  --statement-id FunctionURLAllowPublicAccess \
  --action lambda:InvokeFunctionUrl \
  --principal "*" \
  --function-url-auth-type NONE \
  --region us-east-1

Step 7: Create Gateway Target

aws bedrock-agentcore-control create-gateway-target \
  --gateway-identifier "<gateway-id>" \
  --name "auth0-3lo-lambda-mcp" \
  --target-configuration '{
    "mcp": {
      "mcpServer": {
        "endpoint": "<lambda-function-url>",
        "mcpToolSchema": {
          "inlinePayload": "{\"tools\":[{\"name\":\"whoami\",\"description\":\"Returns user info\",\"inputSchema\":{\"type\":\"object\",\"properties\":{},\"required\":[]}},{\"name\":\"echo\",\"description\":\"Echoes input\",\"inputSchema\":{\"type\":\"object\",\"properties\":{\"message\":{\"type\":\"string\"}},\"required\":[\"message\"]}}]}"
        }
      }
    }
  }' \
  --credential-provider-configurations '[{
    "credentialProviderType": "OAUTH",
    "credentialProvider": {
      "oauthCredentialProvider": {
        "providerArn": "arn:aws:bedrock-agentcore:us-east-1:<account>:token-vault/default/oauth2credentialprovider/auth0-3lo-example",
        "scopes": ["openid", "profile", "email"],
        "grantType": "AUTHORIZATION_CODE",
        "defaultReturnUrl": "http://localhost:5000/agentcore-callback",
        "customParameters": {
          "audience": "https://agentcore-gateway-api"
        }
      }
    }
  }]' \
  --region us-east-1

Step 8: Get an Access Token

  1. Start Flask: python app.py
  2. Open http://localhost:5000/token in your browser
  3. Log in to Auth0
  4. Copy the access token displayed

Step 9: Test the Flow

TOKEN="<your-access-token>"
GATEWAY="<gateway-id>"

# 1. List tools (confirms inbound auth)
curl -s -X POST "https://${GATEWAY}.gateway.bedrock-agentcore.us-east-1.amazonaws.com/mcp" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer ${TOKEN}" \
  -H "MCP-Protocol-Version: 2025-11-25" \
  -d '{"jsonrpc":"2.0","id":"1","method":"tools/list","params":{}}'

# 2. Call a tool (triggers -32042 elicitation)
curl -s -X POST "https://${GATEWAY}.gateway.bedrock-agentcore.us-east-1.amazonaws.com/mcp" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer ${TOKEN}" \
  -H "MCP-Protocol-Version: 2025-11-25" \
  -d '{"jsonrpc":"2.0","id":"1","method":"tools/call","params":{"name":"auth0-3lo-lambda-mcp___echo","arguments":{"message":"hello"}}}'

# 3. Open the URL from the -32042 response IMMEDIATELY (60s TTL)
#    Complete consent in browser
#    Browser lands on localhost:5000/agentcore-callback?session_id=...

# 4. Complete token binding
SESSION_ID="<session_id_from_callback>"
aws bedrock-agentcore complete-resource-token-auth \
  --user-identifier "{\"userToken\":\"${TOKEN}\"}" \
  --session-uri "${SESSION_ID}" \
  --region us-east-1

# 5. Retry the tool call (should succeed now)
curl -s -X POST "https://${GATEWAY}.gateway.bedrock-agentcore.us-east-1.amazonaws.com/mcp" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer ${TOKEN}" \
  -H "MCP-Protocol-Version: 2025-11-25" \
  -d '{"jsonrpc":"2.0","id":"1","method":"tools/call","params":{"name":"auth0-3lo-lambda-mcp___echo","arguments":{"message":"hello from 3LO end-to-end"}}}'

Expected final response:

{
  "jsonrpc": "2.0",
  "id": "1",
  "result": {
    "content": [{"type": "text", "text": "Echo: hello from 3LO end-to-end"}]
  }
}

Callback Received

Key Learnings

Issue Root Cause Fix
insufficient_scope on all requests allowedClients in gateway config; Auth0 uses azp not client_id Use only allowedAudience
authorizationCode must not be null Auth0 skips consent for first-party apps without permissions Add API permission + disable consent skip
Authorization error when sending message Lambda Function URL missing resource policy aws lambda add-permission with lambda:InvokeFunctionUrl
Invalid request on consent URL request_uri TTL expired (~60 seconds) Open URL immediately after generation
Token never persists Nothing calls CompleteResourceTokenAuth Implement callback handler (this repo)

Auth0 Configuration Checklist

  • [ ] API created with custom identifier (audience)
  • [ ] At least one permission defined on the API
  • [ ] "Allow Skipping User Consent" is OFF
  • [ ] Post Login Action deployed (adds scp claim)
  • [ ] Application callback URLs include AgentCore callback URL
  • [ ] Application type: Regular Web Application
  • [ ] Token Endpoint Auth Method: client_secret_post

File Structure

.
├── README.md
├── requirements.txt
├── .env.example
├── .gitignore
├── app.py                          # Flask app (token endpoint + callback handler)
├── callback_handler.py             # Standalone callback handler example
├── lambda/
│   └── lambda_function.py          # Lambda MCP server (echo + whoami tools)
└── screenshots/
    ├── 3lo-sequence-diagram.png
    ├── 02-auth0-app-settings-callbacks.png
    ├── 04-auth0-api-settings-consent.png
    ├── 05-auth0-api-permissions.png
    ├── 08-agentcore-callback-received.png
    └── 09-auth0-login-flow-action.png

Cleanup

aws bedrock-agentcore-control delete-gateway-target \
  --gateway-identifier "<gateway-id>" --target-id "<target-id>" --region us-east-1

aws bedrock-agentcore-control delete-gateway \
  --gateway-identifier "<gateway-id>" --region us-east-1

aws bedrock-agentcore-control delete-oauth2-credential-provider \
  --name "auth0-3lo-example" --region us-east-1

aws lambda delete-function --function-name auth0-3lo-mcp-server --region us-east-1

Documentation

License

MIT

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