ts-mcp-starter
A weather simulation MCP server that provides deterministic mock weather data for any city, including current conditions and forecasts.
README
ts-mcp-starter
A minimal Bun + TypeScript + Biome starter that ships a working MCP (Model Context Protocol) server simulating weather queries. No external API calls — responses are deterministic mock data seeded by city + date.
Stack
- Runtime: Bun 1.x (TypeScript natively, no build step required)
- Language: TypeScript (strict)
- Lint/format: Biome
- MCP:
@modelcontextprotocol/sdkover stdio
Setup
bun install
Tools exposed by the server
| Tool | Description |
|---|---|
get_current_weather |
Simulated current conditions for any city. Args: city, units (metric / imperial). |
get_forecast |
1–7 day simulated forecast. Args: city, days, units. |
list_supported_cities |
Cities with curated baseline climate (others fall back to a default profile). |
All output is JSON text. Values are deterministic per (city, hour) for current weather and per (city, date) for forecasts.
Run locally
The same server supports two MCP transports simultaneously:
| Transport | When to use | How to start |
|---|---|---|
| stdio | Local MCP clients that launch the process (Cursor, Claude Desktop, etc.) | bun run start |
| Streamable HTTP | Remote use — any MCP client that speaks the Streamable HTTP transport | bun run start:http |
| Both at once | Single process exposes stdio and HTTP | bun run start:both |
Useful scripts:
bun run start # stdio only
bun run start:http # Streamable HTTP on http://127.0.0.1:3000/mcp
bun run start:both # stdio + HTTP in one process
bun run dev # stdio, watch mode
bun run dev:http # HTTP, watch mode
bun run test # bun test (stdio + HTTP + unit)
bun run typecheck # tsc --noEmit
bun run check # biome lint + format
CLI flags (also work in any combination): --stdio, --http, --both, --port=4000, --host=0.0.0.0.
Env vars: MCP_HTTP=1, MCP_STDIO=1, PORT / MCP_PORT, MCP_HOST.
Streamable HTTP details
- Endpoint:
POST/GET/DELETE /mcpon the configured port (default3000). - Health check:
GET /health→ok. - Stateful sessions: the server issues an
Mcp-Session-Idheader oninitialize; clients must echo it on every subsequent request. Each session gets its ownMcpServerinstance. - Supports both SSE streaming responses and JSON responses (negotiated by the client's
Acceptheader). - DELETE
/mcpwith a validMcp-Session-Idterminates that session.
Quick smoke test (no client needed)
{
printf '%s\n' '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"smoke","version":"0"}}}'
printf '%s\n' '{"jsonrpc":"2.0","method":"notifications/initialized"}'
printf '%s\n' '{"jsonrpc":"2.0","id":2,"method":"tools/list"}'
printf '%s\n' '{"jsonrpc":"2.0","id":3,"method":"tools/call","params":{"name":"get_current_weather","arguments":{"city":"Tokyo"}}}'
} | bun run src/index.ts
Wire it into an MCP client
Local (stdio) — Cursor / Claude Desktop mcp.json:
{
"mcpServers": {
"weather-demo": {
"command": "bun",
"args": ["run", "/absolute/path/to/ts-mcp-starter/src/index.ts"]
}
}
}
Remote (Streamable HTTP) — run bun run start:http on the host, then point a Streamable-HTTP-capable MCP client at:
http://your-host:3000/mcp
Project layout
src/
index.ts CLI dispatcher (--stdio / --http / --both)
server.ts createServer() factory: McpServer with the three weather tools
stdio.ts stdio transport bootstrap
http.ts Streamable HTTP transport on Bun.serve (stateful sessions)
weather.ts Pure functions that generate simulated weather data
tests/
weather.test.ts unit tests for the simulation functions
mcp-server.test.ts end-to-end JSON-RPC over stdio (hand-written client)
mcp-http.test.ts end-to-end JSON-RPC over Streamable HTTP (hand-written client)
mcp-client-sdk.test.ts end-to-end tests via the official MCP Client SDK (stdio + HTTP)
biome.json Lint + format config
bunfig.toml Bun config
tsconfig.json Strict TS for editor / typecheck
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
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.
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.