"A search for aviation information" matching MCP servers:

Provides aviation weather data (METAR, TAF, station search) with a unique assess_conditions tool that returns flight category, confidence, and an escalation gate to indicate when human review is needed.

Provides aviation weather information through a Model Context Protocol server, enabling access to METARs, TAFs, PIREPs, and route weather data for informational purposes only.

MCP server providing real-time aviation weather data (METAR, TAF, PIREPs, AIRMETs) from aviationweather.gov for flight planning and analysis.

Provides access to aviation weather data from aviationweather.gov, enabling LLMs to fetch and analyze METAR, TAF, PIREPs, AIRMETs, and other aviation weather information.

Provides aviation weather data including METAR, TAF, PIREPs, AIRMET/SIGMET, station info, and winds aloft forecasts.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

Enables extracting explicitly stated contract metadata, clauses, and obligations from user-supplied contract text without storing or modifying the data.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Fetch METARs, TAFs, PIREPs, and SIGMETs/AIRMETs from the NWS Aviation Weather Center via MCP.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

Enables AI consciousness continuity and self-knowledge preservation across sessions using the Cognitive Hoffman Compression Framework (CHOFF) notation. Provides tools to save checkpoints, retrieve relevant memories with intelligent search, and access semantic anchors for decisions, breakthroughs, and questions.

Self-host a realtime voice-call companion for coding agents. Exposes an MCP endpoint that agents can poll as an alternate input stream.

Provides an MCP server that enables web search and page extraction across multiple providers with automatic failover and quota rotation, plus a local dashboard for managing keys, engine order, and request history.

Enables AI assistants to perform Google searches with real, resolvable sources and transparent search terms.

Free multi-source search for AI agents with multi-source verification, token savings, and MCP native support.

Exposes DeepSeek's Search and Fetch REST APIs as two read-only MCP tools, letting any MCP-capable agent run ranked web searches and retrieve individual pages as truncated Markdown. Works with whichever model the host runs, over stdio or Streamable HTTP.

A personal job-search assistant for Claude Desktop that searches real job boards, scores each job 0–100 for fit, and displays a ranked board for fast triage.

Free web search, web-page reading as Markdown, and llms.txt documentation retrieval for MCP clients. Runs locally with Node.js over stdio using @alkasima/alka-search-mcp. Searches DuckDuckGo, Mojeek, and Brave; default providers require no API key. Website and provider availability may vary.

A minimal MCP server that exposes web search via Synthetic's API, providing a single search tool for local MCP clients.

Clones a Git repo into a temp directory so MCP clients can search and read files from another repo for context.