A local MCP server that exposes Tavily search as a tool and rotates across multiple API keys for reliability.
A Model Context Protocol server that enables web search capabilities using the Tavily API, allowing AI models to retrieve current information from the internet through natural language commands.
全面解析Tavily SearchMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器,Tavily Search能让AI助手访问实时数据、执行操作,为您提供更智能的工作体验和自动化解决方案。
Enables web search capabilities through the Tavily API, allowing users to search the web for information using natural language queries. Demonstrates MCP (Model Context Protocol) server implementation with stdio transport mode.
Enables web search capabilities through the Tavily API, allowing users to search the web for information using natural language queries through the Model Context Protocol.
Enables web search capabilities through the Tavily API. Allows users to search the web for information using natural language queries via the MCP protocol.
Enables web search capabilities through the Tavily API. Allows users to search the web for information using natural language queries through the MCP protocol.
Enables web search capabilities through the Tavily API, allowing users to search the internet for information using natural language queries. Demonstrates MCP server implementation with external API integration.
Enables web search capabilities through the Tavily API, allowing users to perform web searches and retrieve information from the internet through natural language queries.
Model Context Protocol server for images search using Inspire backend. Claude Dekstop ready
Enables storage and reuse of prompt templates with variable substitution for LLMs. Supports creating, searching, and retrieving prompt templates to avoid repeating complex instructions across conversations.
A lightweight service that provides cross conversation temporary information storage and retrieval for AI agents, supporting step-by-step processing of complex tasks.
An MCP server for Spotify control and synchronized lyrics retrieval that enables playback management, queue navigation, and music search capabilities. It also features perception tools for real-time track analysis, including BPM, key detection, and timestamped lyrics.
Exposes public weather and climate data through a standardized API, allowing AI agents to retrieve current conditions, 7-day forecasts, and historical data. It enables weather-aware automation and data enrichment for conversational agents and travel planning.
Repository to test MCP server functionality
测试发布一个 mcp server 到 mcp.so
created from MCP server demo
created from MCP server demo
testing the lunir mcp servers
Test repository created via MCP server





