Weather Data

Name: Weather Data
Author: resonatehq-examples

byresonatehq-examples

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Deployment & DevOps

Developer Tools

Web Scraping & Data Collection

Enables asynchronous, fault-tolerant tool calls for historic weather data gathering within a Claude Desktop environment.

This application addresses the fundamental limitations of synchronous LLM tool calling, particularly within MCP Servers, by leveraging Resonate's durable promises. It transforms blocking tool calls into resilient, asynchronous background jobs, ensuring robustness against common distributed system failures like timeouts, application errors, and process crashes. By demonstrating a three-tool pattern (`start_gathering`, `probe_status`, `await_result`) for a long-running task like historic weather data collection, it showcases how to build durable, distributed systems that integrate seamlessly with Claude Desktop's tool calling convention.

Key Features

01Converts synchronous LLM tool calls into durable asynchronous operations.

020 GitHub stars

03Seamlessly integrates with Claude Desktop's MCP Server environment.

04Provides built-in mechanisms for fault tolerance, including supervision, retries, and idempotency.

05Supports long-running background jobs for AI agents without blocking.

06Implements a promise-based pattern (start, probe, await) for managing job lifecycle.

Use Cases

01Implementing reliable, non-blocking tool calls for AI agents.

02Gathering historic weather data or other long-running data collection tasks.

03Building distributed systems that require robust LLM tool integration.