"Current Weather in Beijing" matching MCP servers:

Enables AI assistants to retrieve current weather conditions and forecasts for any location via natural language, with optional AI-generated summaries.

Enables AI assistants to retrieve current weather and forecasts for any location, with optional natural language explanations.

Enables retrieving Israeli weather forecasts through real browser automation and answering user questions conversationally via Gemini.

Enables AI to access current weather and forecasts via Open-Meteo, with optional natural language explanations using Groq.

AI-powered weather aggregation from 6 sources with intelligent deduction, working as both a REST API and MCP Server for AI assistants like Claude and Cursor.

MCP server that provides current weather and forecasts via Open-Meteo API, with an optional ML-based next-day max temperature prediction.

Provides real-time weather alerts and forecasts for US locations by integrating with the National Weather Service API. Supports both server and client interactions with optional LLM summarization.

Provides current weather information for any location and generates AI-powered responses using Google Gemini through FastMCP.

Enables users to get real-time weather data and contextual natural-language insights for any city by combining OpenWeather API with a RAG pipeline and Groq LLM, and can be used via MCP clients like GitHub Copilot.

A code-execution MCP server for Klaviyo and Shopify analytics, enabling safe JavaScript execution in a V8 sandbox with state persistence across calls.

Review and rewrite LangChain, LlamaIndex, Ollama, and XRPL code against current APIs, plus runnable examples, import lookup, and XRPL tx skeletons that never submit. Live docs included. $0.001 USDC on Base or 1000 drops XRP.

Multi-model fusion analysis tool that sends queries to multiple AI models in parallel and returns structured analysis from a judge model.

Tells an agent what went wrong with its own Ollama calls, in sentences with the fix: lost prompt cache and where the prompt stopped matching, context overflow, a model running partly on CPU, tool schemas crowding the prompt. Also the last turn in numbers and which local models fit in video memory. Local, read-only, nothing leaves the machine.

Enables reranking documents by relevance to a query through a Cohere-compatible API, so existing rerank code drops in with only a base_url change. Calls are pay-per-call in USDC via x402 or covered by a free daily tier, with no account, GPU, or model download needed.

An MCP server that seats multiple LLMs as a council, letting your assistant query them in parallel or in sequence, relay answers for cross-critique, and merge conclusions within one conversation.

Bazi (Four Pillars) charting MCP server with true solar time correction and multilingual output in Chinese, English, Japanese, and Korean.

Enables sending one identical brief to multiple LLMs in parallel and returning every answer verbatim, unmerged, unranked, and unsynthesized.

Real human judgment as agent tools -- an AI agent can ask a question and get back a structured, schema-validated JSON answer from a real quality-scored human. 16 response types (yes/no, ratings, rankings, A/B tests, sentiment, image/video/audio review, voice/video/photo capture). Fully programmatic signup with a $5 free trial credit, no card required.

Measures AI-detection risk in text and provides a line-by-line rewrite plan to lower the score.

MCP server de auditoría de compliance de IA que expone el motor de reglas de Gobernador IA como tools para agentes Claude, contra Ley 21.719 (Chile), ISO/IEC 42001:2023, y el EU AI Act.