mcp-omnisearch

A Model Context Protocol (MCP) server that provides unified access to multiple search providers and AI tools. This server combines the capabilities of Tavily, Perplexity, Kagi, Jina AI, and Brave to offer comprehensive search, AI responses, content processing, and enhancement features through a single interface.

Features

🔍 Search Tools

• Tavily Search: Optimized for factual information with strong citation support
• Brave Search: Privacy-focused search with good technical content coverage
• Kagi Search: High-quality search results with minimal advertising influence, focused on authoritative sources

🤖 AI Response Tools

• Perplexity AI: Advanced response generation combining real-time web search with GPT-4 Omni and Claude 3
• Kagi FastGPT: Quick AI-generated answers with citations (900ms typical response time)

📄 Content Processing Tools

• Jina AI Reader: Clean content extraction with image captioning and PDF support
• Kagi Universal Summarizer: Content summarization for pages, videos, and podcasts

🔄 Enhancement Tools

• Kagi Enrichment API: Supplementary content from specialized indexes (Teclis, TinyGem)
• Jina AI Grounding: Real-time fact verification against web knowledge

Configuration

This server requires configuration through your MCP client. Here are examples for different environments:

Cline Configuration

Add this to your Cline MCP settings:

{
	"mcpServers": {
		"mcp-omnisearch": {
			"command": "node",
			"args": ["/path/to/mcp-omnisearch/dist/index.js"],
			"env": {
				"TAVILY_API_KEY": "your-tavily-key",
				"PERPLEXITY_API_KEY": "your-perplexity-key",
				"KAGI_API_KEY": "your-kagi-key",
				"JINA_API_KEY": "your-jina-key",
				"BRAVE_API_KEY": "your-brave-key"
			},
			"disabled": false,
			"autoApprove": []
		}
	}
}

Claude Desktop with WSL Configuration

For WSL environments, add this to your Claude Desktop configuration:

{
	"mcpServers": {
		"mcp-omnisearch": {
			"command": "wsl.exe",
			"args": [
				"bash",
				"-c",
				"TAVILY_API_KEY=key1 PERPLEXITY_API_KEY=key2 KAGI_API_KEY=key3 JINA_API_KEY=key4 BRAVE_API_KEY=key5 node /path/to/mcp-omnisearch/dist/index.js"
			]
		}
	}
}

Environment Variables

The server requires API keys for each provider:

• TAVILY_API_KEY: For Tavily Search
• PERPLEXITY_API_KEY: For Perplexity AI
• KAGI_API_KEY: For Kagi services (FastGPT, Summarizer, Enrichment)
• JINA_API_KEY: For Jina AI services (Reader, Grounding)
• BRAVE_API_KEY: For Brave Search

API

The server implements MCP Tools organized by category:

Search Tools

search_tavily

Search the web using Tavily Search API. Best for factual queries requiring reliable sources and citations.

Parameters:

• query (string, required): Search query

Example:

{
	"query": "latest developments in quantum computing"
}

search_brave

Privacy-focused web search with good coverage of technical topics.

Parameters:

• query (string, required): Search query

Example:

{
	"query": "rust programming language features"
}

search_kagi

High-quality search results with minimal advertising influence. Best for finding authoritative sources and research materials.

Parameters:

• query (string, required): Search query
• language (string, optional): Language filter (e.g., "en")
• no_cache (boolean, optional): Bypass cache for fresh results

Example:

{
	"query": "latest research in machine learning",
	"language": "en"
}

AI Response Tools

ai_perplexity

AI-powered response generation with real-time web search integration.

Parameters:

• query (string, required): Question or topic for AI response

Example:

{
	"query": "Explain the differences between REST and GraphQL"
}

ai_kagi_fastgpt

Quick AI-generated answers with citations.

Parameters:

• query (string, required): Question for quick AI response

Example:

{
	"query": "What are the main features of TypeScript?"
}

Content Processing Tools

process_jina_reader

Convert URLs to clean, LLM-friendly text with image captioning.

Parameters:

• url (string, required): URL to process

Example:

{
	"url": "https://example.com/article"
}

process_kagi_summarizer

Summarize content from URLs.

Parameters:

• url (string, required): URL to summarize

Example:

{
	"url": "https://example.com/long-article"
}

Enhancement Tools

enhance_kagi_enrichment

Get supplementary content from specialized indexes.

Parameters:

• query (string, required): Query for enrichment

Example:

{
	"query": "emerging web technologies"
}

enhance_jina_grounding

Verify statements against web knowledge.

Parameters:

• statement (string, required): Statement to verify

Example:

{
	"statement": "TypeScript adds static typing to JavaScript"
}

Development

Setup

1. Clone the repository
2. Install dependencies:

pnpm install

3. Build the project:

pnpm run build

4. Run in development mode:

pnpm run dev

Publishing

1. Update version in package.json
2. Build the project:

pnpm run build

3. Publish to npm:

pnpm publish

Troubleshooting

API Keys and Access

Each provider requires its own API key and may have different access requirements:

• Tavily: Requires an API key from their developer portal
• Perplexity: API access through their developer program
• Kagi: Some features limited to Business (Team) plan users
• Jina AI: API key required for all services
• Brave: API key from their developer portal

Rate Limits

Each provider has its own rate limits. The server will handle rate limit errors gracefully and return appropriate error messages.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License - see the LICENSE file for details.

Acknowledgments

Built on:

• Model Context Protocol
• Tavily Search
• Perplexity AI
• Kagi Search
• Jina AI
• Brave Search