"A search for information about the weather" matching MCP servers:

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

Enables structured learning with a verified loop: define goals as observable claims, learn through teach-lab-test-gate per claim, and get independently graded by an adversarial examiner to ensure genuine progress.

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

Enables coding agents to add a bounded semantic-judgment layer for routing, ranking, extraction, verification, and escalation, returning typed signals and review recommendations.

Enables AI coding agents to request a second opinion from a different frontier model via a single tool call, with PII scrubbed before transit, live web search, and support for Claude, ChatGPT, Cursor, and Gemini.

Enables AI agents to request an independent second opinion from a different frontier model, with PII scrubbing before transit, live web search grounding, caching, and multi-provider failover.

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.

Enables Codex to consult Claude Code for a second opinion through a local stdio MCP server, exposing the ask_claude tool for text-only reviews and recommendations using existing Claude Code authentication. Codex can request findings and tradeoff analysis without allowing Claude to edit files or run commands.

Enables agents to find lines in local text files by meaning rather than exact keywords, judging each nonblank line against a natural-language intent and returning scores for every line. It complements lexical search by running locally over stdio and calling a hosted model for the semantic comparison.

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.

Enables any calling model to search public X content through Grok's native search using an existing local OAuth login, returning summaries, structured posts, source URLs, and search counts while sharing cached and concurrent searches across local terminals.

An MCP server that integrates with AI models to provide web search capabilities through a single, easy-to-use tool interface.

Enables OpenAI-compatible clients to access external tools, APIs, repositories, and data sources through MCP with allowlisting, approval, and argument validation, deployable as a FastAPI service or Python library.

Enables AI-to-AI consultation for critical thinking and complex reasoning via OpenRouter, allowing one AI to delegate tasks to another AI model.

Enables MCP clients to perform X/Grok searches through xAI's server-side search tool using the Responses API, returning upstream results without rewriting.

Enables AI clients to run local semantic search over your own documents and code in Chinese or English, with embeddings computed on an Intel NPU. Also lets clients check index status and trigger reindexing.

MCP server that integrates Google's Gemini 2.5 Pro with real-time Google Search grounding for current information retrieval.

Provides web and image search using the Doubao (Volcengine) API with configurable parameters.

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

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.