# Search service

An MCP service project based on the Kagi search API, providing development mode operation and command-line tool testing functionality.

An MCP server for interacting with Meilisearch through LLM interfaces (such as Claude), providing index management, document operations, search functions, and system monitoring.

Build the executable file of the Brave Search MCP server

An MCP server implementation that provides Typesense search capabilities for AI models

The Perplexity AI MCP Server project provides standardized interfaces to access the functions of Perplexity AI, including chatting, searching, and document retrieval.

An MCP server that provides free search results by scraping DuckDuckGo

The Search1API MCP Server is a server based on the Model Context Protocol (MCP), providing search and crawling functions, and supporting multiple search services and tools.

An implementation of the Meilisearch MCP server that provides a standardized interface for AI assistants to interact with Meilisearch

A search service project based on MCP and SearxNG

An MCP server implementation integrating the Brave Search API, providing web search and local search functions.

An MCP server that provides Google search and web content analysis functions, supporting AI models to perform search and analysis tasks programmatically.

The Traylinx Search Engine MCP Server is a bridging service that connects to the Agentic Search API, allowing MCP clients (such as Claude and Cursor) to use intelligent search functions to obtain text summaries and structured data (HTML, images, etc.).

This project is a movie information MCP server based on the TMDB API, providing functions such as movie search, recommendation, and popular movie query, which can be integrated with the Claude desktop application.

An MCP server implementation integrating the Brave Search API, providing web and local search functions, supporting pagination, filtering, and smart fallback mechanisms.

This project provides multiple MCP server configurations for Cursor IDE, extending AI assistant functionality through the Model Context Protocol, including integrated services for GitHub, Notion, and Brave Search.

An MCP protocol server based on the Google Custom Search API that provides a standardized web search interface for language models, supporting environment variable configuration and type-safe implementation.

The MCP protocol server for Elasticsearch 7.x, providing a compatible interface with the Elasticsearch 7.x version and supporting basic operations and advanced search features.

The MCP server project is used to connect to the Weaviate vector database, providing search and storage functions, and supporting the configuration of the development environment through the Claude desktop application.

An MCP server that provides Google search services through Serper, enabling LLMs to obtain Google search result information.

This is a service that provides an MCP protocol interface for Elasticsearch 7.x, supporting basic Elasticsearch operations and complete search functions, including advanced features such as aggregation queries and highlighting.

A Model Context Protocol (MCP) server based on Typesense, providing collection management, document operations, and search functions.

An MCP server based on the JSON-RPC 2.0 protocol, providing access to the Brave Search API through background threads, supporting rate limiting and tool call functions.

This project implements a local MCP server and client, supports calling the Google Search API and external MCP services, and develops planning and research agents for handling complex query tasks.

An MCP server that provides Google custom search functionality and can be installed and configured through Smithery or manually, and integrated into applications such as Claude Desktop.

An MCP server that provides Google custom search functionality, which can be automatically installed via Smithery or manually configured and deployed.

Hermes Search MCP Server is an open - source service based on the Model Context Protocol, providing full - text and semantic search functions integrated with Azure Cognitive Search, and supporting multiple AI client tools.