The purpose of this repo is to demonstrate how easy it is to leverage workflows as tools for MCP servers by taking modelcontext.io's weather example
The purpose of this repo is to demonstrate how easy it is to leverage workflows as tools for MCP servers by taking modelcontext.io's weather example and making it
uv (curl -LsSf https://astral.sh/uv/install.sh | sh) - Temporal Local Setup Guide - Claude for Desktop ---Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
{
"mcpServers": {
"weather": {
"command": "uv",
"args": [
"--directory",
"/ABSOLUTE/PATH/TO/PARENT/FOLDER/temporal-durable-mcp-weather-sample",
"run",
"weather.py"
]
}
}
}Configuration as documented by the project. Restart the client after saving.
uv (curl -LsSf https://astral.sh/uv/install.sh | sh) - Temporal Local Setup Guide - Claude for Desktop ---Provides a command-line and API-based coding assistant utilizing OpenAI APIs, function calling, and streaming.
Provides a production-ready template for building Model Context Protocol (MCP) servers with TypeScript.
Predictive data as MCP tools for Claude and other AI apps: live Bitcoin + Ethereum on-chain data, best-time-to-transact timing, AI price forecasts
Access oceanographic and environmental data from ERDDAP servers worldwide through Claude Desktop via **two complete MCP implementations**: local
Agent-first onboarding to Smarter Weather: plans, docs, signup, API keys, MCP config, billing.
Japan weather forecasts and disaster alerts from JMA: forecasts, warnings, and earthquake info.