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mcp-omnisearch

Active·★ 313·MIT·Updated 2026-05-29
★ API Integration★ Data Processing

🔍 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 (Firecrawl, Tavily, Kagi). Includes GitHub search. All through a single interface.

mcp-omnisearch is an MCP server that unifies multiple search and extraction APIs (Tavily, Brave, Kagi, Exa AI, GitHub, Linkup, Firecrawl) into four tools: web_search, ai_search, github_search, and web_extract. It supports flexible provider selection and key management, and can be deployed on any platform with Node.js.

#brave#exa#firecrawl#github-search#kagi#linkup#mcp#mcp-servers
$ Install
$ pnpm install && pnpm run build && node ./dist/index.js
↗ Visit site★ GitHub
01

Features

01Unified web search across multiple providers (Tavily, Brave, Kagi, Exa)
02AI-powered search with sourced answers (Kagi FastGPT, Exa Answer, Linkup)
03GitHub search for code, repositories, and users
04Web content extraction with modes like crawl, scrape, summarize, and find similar
02

Compatibility

macOS
macOS
Verified via docs
Linux
Linux
Verified via docs
Windows
Windows
Verified via docs
Docker
Docker
Verified via docs
03

Quick start

1
$ pnpm install
2
$ pnpm run build
3
$ node ./dist/index.js
04

Use cases

↳Perform comprehensive web searches using multiple search engines in one request
↳Obtain AI-generated answers with citations for complex queries
↳Extract and summarize content from web pages for research or data collection
05

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Related searches

mcp-omnisearch AlternativesBest Browser Automation Tools 2026Open Source Browser Automationmcp-omnisearch Tutorialmcp-omnisearch Vs Competitorsbraveexafirecrawl

Comments

Log in to leave a comment
  • H
    Harper BrownMay 2, 2026

    Active maintenance, new search providers get added regularly.

  • R
    Remy HarrisApr 23, 2026

    Unified search across multiple engines from one MCP server saves setup overhead.

  • A
    Avery LewisMar 16, 2026

    Good for AI workflows that benefit from triangulating results across search providers.

  • P
    Parker JohnsonMar 4, 2026

    Consistent result format across engines makes downstream processing straightforward.

On this page
01Features02Compatibility03Quick start04Use cases05Alternatives
Stats
GitHub Stars★ 313
Last commit1d ago
StatusActive
LicenseMIT
CategoryBrowser Automation
Trend (30d)
+12.5↑ 0.3%
Links
Documentation↗Discussion↗Issues↗Releases↗

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