mcp-omnisearch and kindly-web-search-mcp-server
About mcp-omnisearch
spences10/mcp-omnisearch
🔍 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.
# Technical Summary Implements four consolidated MCP tools (web_search, ai_search, github_search, web_extract) with pluggable provider backends, allowing clients to query multiple APIs through a unified interface while gracefully degrading based on available credentials. Supports advanced search operators native to Brave/Kagi, domain filtering via API parameters, and specialized extractors like Firecrawl's interactive scraping and Kagi's multimodal summarization (pages, videos, podcasts). Designed for integration with AI assistants (Claude Desktop, Cline) via environment-variable configuration with zero hard dependencies on any single provider.
About kindly-web-search-mcp-server
Shelpuk-AI-Technology-Consulting/kindly-web-search-mcp-server
Kindly Web Search MCP Server: Web search + robust content retrieval for AI coding tools (Claude Code, Codex, Cursor, GitHub Copilot, Gemini, etc.) and AI agents (Claude Desktop, OpenClaw, etc.). Supports Serper, Tavily, and SearXNG.
Implements MCP (Model Context Protocol) server architecture with stdio transport for seamless integration into AI coding assistants, combining multiple search backends (Serper, Tavily, SearXNG) with specialized parsers for StackExchange, GitHub Issues, arXiv, and Wikipedia that return structured, conversation-complete content. Uses headless Chromium via `nodriver` for real-time webpage extraction into Markdown, eliminating the need for separate web scraping or platform-specific MCP servers. Part of a broader agentic suite designed to improve code quality through integrated tools for semantic navigation, design review, and TDD enforcement.
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