agent-mcp-tools-1

agent-mcp-tools-1

An MCP server starter for ticket ordering, offering a timeslots resource and an order_tickets tool via Streamable HTTP, deployable to AWS Lambda.

Category
Visit Server

README

agent-mcp-tools-1

A production-leaning MCP server starter for AWS Lambda. It follows the shape of aal80/peppa-mcp-server-on-lambda but uses maintained, widely adopted building blocks:

  • Official Model Context Protocol TypeScript SDK (@modelcontextprotocol/sdk)
  • Streamable HTTP transport, the current MCP remote-server transport
  • Express 5 for local HTTP routing
  • Zod for tool input validation
  • AWS Lambda Web Adapter for running the same HTTP app locally, in Docker, or on Lambda
  • Terraform for AWS Lambda + API Gateway HTTP API infrastructure
  • Vitest, TypeScript, ESLint, and Prettier for day-to-day engineering hygiene

The sample MCP surface mirrors the Peppa-style flow:

  • Resource: tickets://timeslots
  • Tool: order_tickets

Local Development

npm install
npm run dev

In another terminal:

npm run client

Or inspect it with the MCP Inspector:

npm run inspect

Stdio Mode

Some local MCP clients prefer stdio:

npm run stdio

Verify

npm run typecheck
npm test
npm run lint
npm run build

Docker

docker build -t agent-mcp-tools-1:local .
docker run --rm -p 8080:8080 \
  -e HOST=0.0.0.0 \
  -e MCP_ALLOWED_ORIGINS=http://127.0.0.1:6274,http://localhost:6274 \
  agent-mcp-tools-1:local

AWS Deploy

Build and push the container image to ECR, then pass the ECR image URI to Terraform:

cd terraform
terraform init
terraform apply -var "image_uri=<account>.dkr.ecr.<region>.amazonaws.com/agent-mcp-tools-1:latest"

Terraform outputs endpoint_url, which is the MCP Streamable HTTP endpoint.

Security Notes

MCP's Streamable HTTP specification calls out origin validation, localhost-only binding for local servers, and authentication for remote deployments. This starter implements origin validation and localhost binding by default. Add your preferred auth layer before exposing a real production tool publicly.

Replacing The Sample Tool

Keep the transport and deployment code as-is, then replace:

  • src/domain/tickets.ts
  • the resource/tool registrations in src/mcp/server.ts
  • the smoke client arguments in src/client.ts

Recommended Servers

playwright-mcp

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.

Official
Featured
TypeScript
Audiense Insights MCP Server

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.

Official
Featured
Local
TypeScript
Magic Component Platform (MCP)

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.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

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.

Official
Featured
TypeScript
Kagi MCP Server

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.

Official
Featured
Python
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

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.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
E2B

E2B

Using MCP to run code via e2b.

Official
Featured