mcp-omnisearch and google-ai-mode-mcp

These are complements—omnisearch aggregates multiple premium search APIs (Tavily, Brave, Kagi, Perplexity) while Google AI Mode provides free search with citations, allowing users to combine them for cost-optimized multi-source search coverage.

mcp-omnisearch
50
Established
google-ai-mode-mcp
49
Emerging
Maintenance 13/25
Adoption 10/25
Maturity 9/25
Community 18/25
Maintenance 10/25
Adoption 9/25
Maturity 18/25
Community 12/25
Stars: 283
Forks: 37
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
Stars: 86
Forks: 9
Downloads:
Commits (30d): 0
Language: TypeScript
License: MIT
No Package No Dependents
No risk flags

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 google-ai-mode-mcp

PleasePrompto/google-ai-mode-mcp

MCP server for free Google AI Mode search with citations. Query optimization, CAPTCHA handling, multi-agent support. Works with Claude Code, Cursor, Cline, Windsurf.

Leverages Puppeteer with stealth techniques and persistent browser profiles to automate Google AI Mode searches, using a 4-stage completion detection system (SVG thumbs-up → aria-label → text → timeout) that achieves 87% faster results across multiple languages. Extracts AI-synthesized answers and citations via 17 language-agnostic selectors, then converts to Markdown with inline references—eliminating the token cost of manual multi-page research while preserving source attribution. Exposes a single MCP tool callable from any agent (Claude, Cursor, Cline, Windsurf, Zed) with optional file persistence and automatic CAPTCHA handling via visible browser fallback.

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