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Access multiple search, AI, and extraction services through one unified interface.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-omnisearch" yet — see the docs or source repo.
Use omnisearch to query Tavily, Brave, and Kagi for "AI search product trends in 2025" and five major competitors. Summarize the key findings and include source links.
A consolidated trend brief with competitor names, key insights, and reference links from multiple search sources.
Use omnisearch to extract the main content from this webpage and summarize the core conclusions, key data points, and quotable passages: https://example.com/report
The extracted page text plus a structured summary for easier reading, quoting, or further analysis.
Use omnisearch to search GitHub for high-quality projects related to "RAG evaluation framework", filter for active repositories, and compare their features, stars, and use cases.
A comparison list of GitHub projects to help quickly choose a suitable technical solution.
Aggregate multi-engine search results and fetch pages as Markdown privately.
Run real-time web searches and fetch page content through MCP.
Enable web search and result retrieval for MCP-compatible AI clients.
Enable AI agents to search the web and extract useful page content.
Lets AI agents run unified web, GitHub, and GitLab searches efficiently.
Enable AI agents to search the web and retrieve structured results.