No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by spences10 · MCP Server · ★ 351
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-omnisearch safe to install? View the security audit →
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, Brave, Exa AI, and Firecrawl 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. Supports domain filtering through API parameters (includedomains/excludedomains). Brave Search: Privacy-focused search with comprehensive operator support: , , /, , , , , , , , , , , and exact phrases (). Kagi Search: High-quality search with full operator support: , , /, , , , , , , , , , , and exact phrases (). Exa Search: AI-powered web search using neural and keyword search. Optimized for AI applications with semantic understanding, content extraction, and research capabilities. GitHub Search: Comprehensive code search across public GitHub repositories with three s
| Stars | 351 |
| Forks | 52 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.6916837767518/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-20 |
| Created | 2025-03-08 |
| Platforms | mcp, node |
| Est. Tokens | ~20k |
These tools work well together with mcp-omnisearch for enhanced workflows:
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mcp-omnisearch is 🔍 A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi, Exa), AI tools (Kagi FastGPT, Exa, Linkup), and content extraction services (Firecraw. It is categorized as a MCP Server with 351 GitHub stars.
mcp-omnisearch is primarily written in TypeScript. It covers topics such as brave, exa, firecrawl.
You can find installation instructions and usage details in the mcp-omnisearch GitHub repository at github.com/spences10/mcp-omnisearch. The project has 351 stars and 52 forks, indicating an active community.
mcp-omnisearch is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcp-omnisearch on Agent Skills Hub include MySearch-Proxy, Kagi-Session2API-MCP, tavily-key-generator. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: