Serverless MCP Server
A minimal, production-ready MCP server running on AWS Lambda with Streamable HTTP transport, enabling deployment of custom tools behind API Gateway.
README
Serverless MCP Server
A minimal, production-ready example of an MCP (Model Context Protocol) server running on AWS Lambda with Streamable HTTP transport, deployed behind API Gateway HTTP API v2.
Built with the official @modelcontextprotocol/sdk — no stdio adapters, no proxies.
Architecture
AI Client (Cursor / Windsurf / Claude Code / VS Code)
│
│ POST /mcp x-api-key: <key>
▼
API Gateway HTTP API v2
│
├─ Lambda Authorizer ← validates x-api-key against Secrets Manager
│
▼
Lambda (Docker image, Node.js 22)
│
│ Lambda Web Adapter translates Lambda events → HTTP
▼
Node.js HTTP server (MCP SDK StreamableHTTPServerTransport)
Stateless by design — each request creates a fresh MCP server + transport instance. No session state, no DynamoDB, no cold-start coordination needed.
Stack
| Layer | Technology |
|---|---|
| Infrastructure | AWS CDK v2 (TypeScript) |
| API | API Gateway HTTP API v2 |
| Runtime | Lambda — Docker image (Node.js 22) |
| Authorizer | Lambda — NodejsFunction esbuild bundle (Node.js 22) |
| Auth | API key stored in Secrets Manager, validated per-request |
| MCP transport | StreamableHTTPServerTransport (stateless, JSON response mode) |
| Lambda ↔ HTTP bridge | AWS Lambda Web Adapter |
Included sample tools
| Tool | Description |
|---|---|
get_weather |
Returns mock weather for a city |
calculate |
Basic arithmetic (add / subtract / multiply / divide) |
get_server_status |
Server status, timestamp, AWS region |
lookup_user |
Mock user lookup by ID |
Replace these with your real tool implementations in app/src/server.ts.
Prerequisites
- Node.js 22+
- Docker (running)
- AWS CLI configured —
aws sts get-caller-identityshould succeed - CDK bootstrapped in your target region:
npx cdk bootstrap aws://YOUR_ACCOUNT_ID/YOUR_REGION
Setup
1. Install dependencies
npm install
cd app && npm install && cd ..
cd lib/authorizer && npm install && cd ../..
2. Configure your API key
cp .env.example .env
Generate a strong key and paste it into .env:
openssl rand -hex 32
# → paste output as API_KEY=... in .env
3. Deploy
npx cdk deploy
CDK builds the Docker image, pushes to ECR, creates the Lambda functions, wires up API Gateway, and stores your key in Secrets Manager. The endpoint URL is printed as output:
Outputs:
McpServerStack.McpEndpoint = https://<id>.execute-api.<region>.amazonaws.com/mcp
Local testing
cd app && npm run build && node dist/server.js
# Initialize
curl -s -X POST http://localhost:8080/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-d '{"jsonrpc":"2.0","method":"initialize","params":{"clientInfo":{"name":"test","version":"1.0"},"protocolVersion":"2025-03-26","capabilities":{}},"id":1}' | jq .
# List tools
curl -s -X POST http://localhost:8080/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-d '{"jsonrpc":"2.0","method":"tools/list","id":2}' | jq .
# Call a tool
curl -s -X POST http://localhost:8080/mcp \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-d '{"jsonrpc":"2.0","method":"tools/call","params":{"name":"get_weather","arguments":{"city":"Kyiv"}},"id":3}' | jq .
Testing the deployed endpoint
MCP_URL="https://<id>.execute-api.<region>.amazonaws.com/mcp"
API_KEY="<your key from .env>"
curl -s -X POST "$MCP_URL" \
-H "Content-Type: application/json" \
-H "Accept: application/json, text/event-stream" \
-H "x-api-key: $API_KEY" \
-d '{"jsonrpc":"2.0","method":"tools/list","id":1}' | jq .
# Should return 403
curl -s -X POST "$MCP_URL" \
-H "Content-Type: application/json" \
-H "x-api-key: wrong-key" \
-d '{"jsonrpc":"2.0","method":"tools/list","id":2}'
For interactive debugging, use MCP Inspector:
npx @modelcontextprotocol/inspector
Select Streamable HTTP, enter the endpoint URL, add x-api-key header.
Connecting clients
Cursor
.cursor/mcp.json:
{
"mcpServers": {
"my-server": {
"url": "https://<id>.execute-api.<region>.amazonaws.com/mcp",
"headers": { "x-api-key": "<API_KEY>" }
}
}
}
Windsurf
~/.windsurf/mcp.json (or workspace .windsurf/mcp.json):
{
"mcpServers": {
"my-server": {
"url": "https://<id>.execute-api.<region>.amazonaws.com/mcp",
"headers": { "x-api-key": "<API_KEY>" }
}
}
}
VS Code
.vscode/mcp.json:
{
"servers": {
"my-server": {
"type": "sse",
"url": "https://<id>.execute-api.<region>.amazonaws.com/mcp",
"headers": { "x-api-key": "<API_KEY>" }
}
}
}
VS Code uses
"type": "sse"— it does not yet support"type": "http"(Streamable HTTP).
Claude Code
claude mcp add my-mcp-server --transport sse "$MCP_URL" \
--header "x-api-key: $API_KEY"
Adding your own tools
Edit app/src/server.ts and add tools inside createMcpServer():
server.tool(
"my_tool",
"What this tool does",
{ param: z.string().describe("A parameter") },
async ({ param }) => ({
content: [{ type: "text", text: `Result for ${param}` }],
})
);
Then redeploy with npx cdk deploy.
Cleanup
npx cdk destroy
Why Lambda Web Adapter?
StreamableHTTPServerTransport expects standard Node.js IncomingMessage/ServerResponse objects, not Lambda's JSON event format. Lambda Web Adapter runs as a Lambda extension and transparently translates Lambda invocations into HTTP requests to the local server — no application code changes needed.
Why stateless?
Lambda instances are ephemeral and may not be reused between requests. Stateful MCP sessions (with session IDs) would require persisting transport state externally (e.g. DynamoDB), adding complexity. Stateless mode (sessionIdGenerator: undefined) makes each request fully self-contained — a natural fit for Lambda.
Note: API Gateway HTTP API v2 has a hard 30-second integration timeout. All tool calls must complete within this window.
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