Comparison
Agent Reach vs MCP Omnisearch
Agent Reach has more GitHub stars (98,138 vs 356). Agent Reach was updated more recently (last commit 4d ago). Data comes straight from GitHub and refreshes daily.
Agent Reach
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
$
git clone https://github.com/Panniantong/Agent-Reach
MCP Omnisearch
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…
$
git clone https://github.com/spences10/mcp-omnisearch| Metric | Agent Reach | MCP Omnisearch |
|---|---|---|
| Type | MCP server | MCP server |
| GitHub stars | 98,138 | 356 |
| Stars, last 7 days | +412 | n/a |
| Forks | 8,613 | 50 |
| Upvotes | 0 | 0 |
| Language | Python | TypeScript |
| License | MIT | MIT |
| Last commit | 4d ago | 5d ago |
| Created | Feb 2026 | Mar 2025 |
| Categories | AI & LLM tooling, Chat & social, Search & web | Search & web, Browser automation, Dev tools |