# Search Service

MCP TAVILY SEARCH is a service based on the Model Context Protocol (MCP) that provides search functionality through Tavily. It supports quick installation and configuration, can be run via the command line or Docker, and provides debugging tools. The main functions include news search, supporting parameter configuration such as keywords, time ranges, and quantity limits.

The GitHub MCP Server is a middleware service based on the GitHub API, providing comprehensive GitHub operation interfaces for file operations, repository management, search functions, etc.

A search service implementation based on the MCP protocol, supporting multiple search engines and providing content acquisition capabilities for AI tools.

This project is a series of MCP servers based on SerpAPI and YouTube, providing AI assistants with various search functions, including Google Search, News, Scholar, Trends, Finance, Maps, Images, as well as YouTube Search and caption retrieval.

This project is an experimental Model Context Protocol (MCP) server for interacting with the Algolia API. It allows users to perform operations such as searching, adding data, and updating index configurations through the MCP protocol. The project provides installation guides, debugging methods, and instructions for integrating with Ollama, but clearly states that it does not provide official support.

An MCP server based on the Serper API, providing Google search functionality and an AI in-depth research tool, supporting configurable search parameters, multi-level research depth, and result quality monitoring.

A TypeScript-based MCP server that integrates the Kagi Search API to provide functions such as web search

A server based on the Model Context Protocol (MCP) and Server-Sent Events (SSE), integrating the Brave Search API to provide real-time streaming search functionality for AI models and clients.

The MCP Search Server is a protocol service that provides Google search functionality for AI models. It supports caching and advanced search configurations and enables information retrieval through Docker deployment.

The Typesense MCP Server is a server that implements the Model Context Protocol (MCP), providing AI models with the ability to access Typesense search capabilities and supporting the discovery, search, and analysis of data in Typesense collections.

An MCP server implementation integrating the Glean API, providing search and chat functions.

An MCP server implementation integrating the Brave Search API, providing web search and local search functions, supporting result filtering and intelligent fallback mechanism.

An MCP server implementation integrating the Glean API, providing search and chat functions

An MCP server based on the Google Custom Search API that provides web and image search capabilities for AI assistants and integrates with AI assistants such as Claude through the standardized MCP protocol.

OpenSearch Interaction Service

A DuckDuckGo search MCP server based on TypeScript

Weaviate's MCP Server supports quick installation through Smithery and integration with Claude Desktop, providing vector search and storage functions.

An implementation of the MCP Server for Elasticsearch/OpenSearch, providing document search, index analysis, and cluster management functions.

A server that implements the Model Context Protocol (MCP), providing access to Exa.ai's search functionality and enabling AI agents to perform web searches through a standardized protocol.

An MCP server implementation integrating the Brave Search API, providing web search, local point of interest search, video search, image search, and news search functions.

The OpenSearch MCP service is a model context protocol server for OpenSearch integration, providing functions such as index management, cluster management, and document search.

A Yahoo Finance data service based on yfinance that provides stock information, news, and search functions.

An MCP server that provides internet search capabilities for clients. Requires configuration of TAVILY_API_KEY for use.

A Go-based Meilisearch MCP server that provides search capabilities for large language models

This project implements an MCP server for Brave Search, supporting integration with AI assistants such as Claude and providing web and local search functions.