About MCP Servers
A starter example of a local MCP server with hardcoded weather data, intended for people learning to build MCP servers. It uses STDIO transport and includes notes on extending it with SSE and an API.
Key features
- 01Local MCP server example
- 02Hardcoded weather context
- 03STDIO transport
- 04Notes on SSE extension
Use cases
- 01Learning MCP server basics
- 02Starting a local weather server
MCP support
It is an MCP server example that exposes hardcoded weather context over STDIO. The README notes SSE as an option for making it available online.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEThe main.js file is an example of a local MCP server which understands the context of a Weather data which is hardcorded by me I have not used any external api for the data yet but it is really simple to do so and also it has STDIOserver transport so it is only available offline , to make it available online we need to use SSE with an express server so that it is hosted locally and the api part is also connected You can use this as a starter point to create MCP - SERVERS
Comments
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An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.