MCP Weather Server is an SSE-based server implementation designed for MCP (Multi-Client Protocol) clients and servers. It demonstrates a working pattern where clients can connect to the server, use its tools, and disconnect at will. The server provides weather-related tools based on the National Weather Service APIs, such as 'get_forecast' and 'get_alerts'.
The MCP Weather Server allows decoupled processes between the server and clients, meaning agents (clients) can connect, use resources, and disconnect whenever needed. This approach fits better into cloud-native use-cases compared to STDIO-based patterns where the client spawns the server as a subprocess. It enables flexibility in deployment and scalability.
Developers and organizations looking to implement scalable, cloud-native architectures with decoupled client-server interactions would benefit from using MCP Weather Server. Specifically, those interested in leveraging weather data through API integrations like the National Weather Service APIs.
By default, the MCP Weather Server runs on '0.0.0.0:8080', but it is configurable via command line arguments to specify custom host and port settings. Clients can connect to the server's SSE endpoint, typically at 'http://0.0.0.0:8080/sse'.
MCP Weather Server should be used when you need a flexible, standalone server that clients can interact with over SSE (Server-Sent Events). It's ideal for scenarios where multiple clients require access to shared tools or resources, such as weather forecasts, without needing to spawn individual subprocesses.
To start the MCP Weather Server, run the command 'uv run weather.py' in your terminal. You can also customize the host and port by adding arguments like '--host <your host> --port <your port>'.
To connect a client, run 'uv run client.py http://0.0.0.0:8080/sse' in your terminal. Ensure the server is running and accessible at the specified endpoint.
The MCP Weather Server provides tools such as 'get_forecast' and 'get_alerts', which are based on the National Weather Service APIs. These tools allow clients to fetch weather forecasts and alerts for specific locations.
Yes, you need to supply the 'ANTHROPIC_API_KEY' either in the '.env' file or as an environment variable to use the server and its tools effectively.
MCP (Model Context Protocol) is an open protocol designed to standardize how applications provide context information to large language models (LLMs). Like a 'USB-C port' for AI applications, MCP ensures AI models can seamlessly connect with various data sources and tools.
An MCP Server is a server that supports the MCP protocol, enabling the exchange of contextual information between applications and AI models in a standardized way. It provides developers with an easy way to integrate AI models with databases, APIs, or other data sources.
An MCP Server eliminates the complexity of developing custom adapters by unifying the connection between AI models and various data sources. Whether you're a developer, data scientist, or AI app builder, an MCP Server simplifies the integration process, saving time and resources.
An MCP Server acts as an intermediary bridge, converting contextual information from various data sources into a format that AI models can understand. By adhering to the MCP protocol, it ensures data is transmitted between applications and AI models in a standardized manner.
At mcpserver.shop, you can browse our MCP Server Directory. The directory is categorized by industry (e.g., finance, healthcare, education), and each server comes with detailed descriptions and tags to help you quickly find the option that suits your needs.
The MCP Server Directory on mcpserver.shop is free to browse. However, some servers are hosted by third-party providers and may involve usage fees. Check the detailed page of each server for specific information.
MCP Servers support a wide range of data sources, including databases, APIs, cloud services, and custom tools. The flexibility of the MCP protocol allows it to connect almost any type of data source to AI models.
MCP Servers are primarily designed for developers, data scientists, and AI app builders. However, mcpserver.shop provides detailed documentation and guides to help users of varying technical levels get started easily.
Yes, MCP is an open-source protocol that encourages community participation and collaboration. For more details or to contribute, visit the official MCP documentation.
On mcpserver.shop, each MCP Server’s detailed page includes the provider’s contact information or a link. You can directly reach out to the provider for more details or technical support.