"Information on agent swarm architecture" matching MCP servers:

An MCP server that provides access to Foursquare Swarm check-in data, enabling AI assistants to query check-in history, stats, top venues, and venue details.

Provides AI agents with environmental sensing capabilities including current time, IP-based geolocation, system information, and hardware details. Enables more contextual and accurate AI responses based on user's environment.

这是一个面向中文圈的MCP服务器，将中国互联网常用能力（如地图、快递、RSS、B站等）封装为标准MCP工具，方便AI Agent安全调用。

Provides real-time Dutch railway (NS) travel information including train schedules, delays, journey planning, ticket prices, and station details for navigating the Netherlands by train.

MCP that makes travel planning simple

Integrates multiple search APIs (Google Search, Maps, Flights, Hotels) through the Model Context Protocol and Agent-to-Agent protocol, enabling AI assistants to perform diverse searches via natural language queries.

Enables querying parking lot information through an MCP server built with fastMCP, allowing users to retrieve parking facility data via API calls.

Provides six general-purpose utilities (geocoding, reverse geocoding, weather, web search, URL-to-Markdown, secure random) as paid MCP tools, with each call costing $0.01 USDC on Base mainnet.

An MCP server that exposes geocoding, current weather, and multi-day forecast as typed, structured tools for AI agents via the Open-Meteo API.

Free travel utilities plus live x402 travel itelligence: $0.01 Travel Pulse disruption and emergency-awareness checks, day trips, weekend getaways, creator experiences, weather-aware planning, mobility options, currency conversion, airport checks, and timing guidance.

Glama Dockerfile for YUYU20061107/gis-agent-bridges（合集仓） 使用方式：在 Glama 该 listing 的 Admin -> Dockerfile 页面直接粘贴本文件内容。 构建上下文为仓库根目录。 合集仓含 9 个包、9 个独立的 live/mcp_server.py；Glama 一个 listing 只能 对应一个 Dockerfile / 一个入口。本文件选 supermap 包作为合集的 Glama 入口 （依据见同目录 RESEARCH.md 第四节：旗舰包、唯一实机校准、且该文件与单仓 supermap-gis-bridge 的 live/mcp_server.py 逐字节相同）。 其余 8 个包同为纯标准库、同架构，技术上任选其一都能通过检查。 FROM python:3.12-sli

This MCP server provides current weather, 1-16 day forecasts, travel recommendations, and city comparisons using Open-Meteo. It requires no API key and includes a transparent agent-friendly interface.

Provides 7 tools for weather (geocoding, current conditions) and country data (capital, currency, population, dial code, flag) via Open-Meteo and CountriesNow APIs, designed for multi-agent AI systems.

Provides current weather, multi-day forecasts, and umbrella recommendations through natural language queries, using the Open-Meteo API with no API key required.

Enables natural language interaction with a GeoServer instance for managing workspaces, datastores, feature types, layers, styles, and OGC services (WMS/WFS) via an LLM-powered agent.

Enables AI assistants to submit and track local household-service requests such as house cleaning or pest control, validating details and passing each as a routed opportunity to external providers or buyer networks. Exposes service-discovery, submission, and status-check tools so those requests flow through one consistent intake pipeline.

Provides live earthquake data from the USGS feed, enabling users to query recent seismic activity and view interactive earthquake widgets within the chat.

Enables agents to evaluate layover time budgets and generate timed sightseeing or culinary micro-tours that account for immigration buffers, round-trip metro/taxi latencies, and connection safety.

A streaming chat agent that integrates Google ADK with Model Context Protocol and Google Maps tools, enabling users to interact with location-based services through a conversational interface.

Provides weather data using Open-Meteo API with support for current weather, 24-hour forecasts, and 7-day forecasts for Turkish cities and coordinate-based queries.

search for best places to rent

Provides current weather, forecasts, trend predictions, and personalized recommendations for any location using the Open-Meteo API.

Provides real-time weather, points of interest with coordinates, and nearby restaurant data from AMAP to support intelligent travel itinerary planning through natural language.

A weather MCP server that geocodes city names and fetches live weather from Open-Meteo, enabling a LangGraph agent to answer weather queries.

Provides real-time weather forecasts and international time details through MCP tools, including geocoding, hourly/daily forecasts, and timezone information for any city.

Provides real-time weather data, forecasts, and explainable predictions (umbrella, travel, city comparisons) via natural language, powered by Open-Meteo.

Turn GPS coordinates into place name, category, and live opening hours via OpenStreetMap. Works in Claude, Hermes Agent, OpenClaw, and any MCP client.

Enables booking premium private chauffeur transfers in Paris and across Europe directly from AI agents. Provides tools to list vehicles, get quotes, book rides, and retrieve service information.

Enables AI assistants to search Italian private healthcare services, clinics, and doctors, compare real-time availability, bookable times, and prices, and retrieve service preparation and pricing information, while leaving booking on cup24.it.

A developer-focused server that exposes information from VW vehicles via a Model Context Protocol (MCP) interface. This project is designed for integration, automation, and experimentation with connected car data.