mcp-omnisearch

spences10
116
🔍 A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi), AI tools (Perplexity, FastGPT), and content processing services (Jina AI, Kagi). Combines search, AI responses, content processing, and enhancement features through a single interface.
#brave #kagi #mcp #model-context-protocol #perplexity-ai #search #tavily

Overview

mcp-omnisearch Introduction

mcp-omnisearch is a Model Context Protocol (MCP) server that provides unified access to multiple search engines and AI tools, enabling users to perform comprehensive searches, receive AI-generated responses, and utilize content processing services through a single interface.

How to Use

To use mcp-omnisearch, send a query to the server along with optional parameters for domain filtering, file type, title, URL, and date. The server supports various search operators to refine results from different search providers.

Key Features

Key features of mcp-omnisearch include access to multiple search engines (Tavily, Brave, Kagi), AI tools (Perplexity, FastGPT), and content processing services (Jina AI). It supports advanced search operators and parameters for enhanced search capabilities.

Where to Use

mcp-omnisearch can be used in various fields such as research, content creation, data analysis, and any domain requiring efficient information retrieval and processing.

Use Cases

Use cases for mcp-omnisearch include academic research, professional content generation, technical documentation searches, and enhancing user experience in applications requiring diverse information sources.

Content