Open-source Python library for AI browser agents, plus Browser Use Cloud: stealth browsers and a hosted agent API.
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…
Install
git clone https://github.com/spences10/mcp-omnisearchInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →mcp-omnisearch
A Model Context Protocol (MCP) server that provides unified access to Tavily, Brave, Kagi, Exa AI, GitHub, Linkup, and Firecrawl through four consolidated tools.
Quick start
Install the published server with MCPick:
npx mcpick add \
--name mcp-omnisearch \
--command npx \
--args=-y,mcp-omnisearch
MCPick defaults to Claude Code. Use --client and --scope to target
another client or add the server to the current repository:
npx mcpick add \
--name mcp-omnisearch \
--command npx \
--args=-y,mcp-omnisearch \
--client vscode \
--scope project
See Deployment for supported clients and provider credential storage options.
To run from source instead:
pnpm install
pnpm run build
node ./dist/index.js
Providers without keys are skipped and the rest keep working. If your client supports environment-variable expansion, reference keys instead of storing their values in the MCP configuration:
{
"mcpServers": {
"mcp-omnisearch": {
"command": "npx",
"args": ["-y", "mcp-omnisearch"],
"env": {
"TAVILY_API_KEY": "${TAVILY_API_KEY}",
"EXA_API_KEY": "${EXA_API_KEY}"
}
}
}
}
Add only the provider keys you use. Expansion syntax and secret storage are client-specific; see Deployment for secure options and plaintext fallback guidance.
Tools
web_search
Search the web with Tavily, Brave, Kagi, or Exa.
{
"query": "latest SvelteKit releases",
"provider": "tavily",
"limit": 10,
"search_depth": "advanced",
"topic": "news",
"time_range": "month",
"safe_search": true,
"include_raw_content": false,
"auto_parameters": false
}
Search controls apply when supported by the selected provider.
ai_search
Get sourced AI answers with Exa Answer, Linkup, or Tavily Research.
Tavily Research returns a task ID first; pass it back as research_id
to retrieve the report.
{
"query": "Explain the differences between REST and GraphQL",
"provider": "exa_answer"
}
github_search
Search GitHub code, repositories, or users.
{
"query": "filename:remote.ts @sveltejs/kit",
"search_type": "code",
"limit": 5
}
web_extract
Extract, crawl, scrape, or find similar content with Tavily, Firecrawl, or Exa.
{
"url": "https://example.com/long-article",
"provider": "tavily",
"mode": "extract",
"extract_depth": "advanced",
"query": "installation requirements",
"chunks_per_source": 3,
"format": "markdown"
}
Documentation
- Provider selection — choose providers by task, key, mode, and capability.
- Search operators — operator support matrix and tested examples.
- Large results — inline vs file response behavior and remote deployment caveats.
- Deployment — MCP client, WSL, and Firecrawl setup.
- Troubleshooting — keys, access, validation, rate limits, and common failures.
Environment variables
TAVILY_API_KEYKAGI_API_KEYBRAVE_API_KEYGITHUB_API_KEYEXA_API_KEYLINKUP_API_KEYFIRECRAWL_API_KEYFIRECRAWL_BASE_URLoptional, for self-hosted FirecrawlOMNISEARCH_LARGE_RESULT_MODEoptional,filedefault orinline
Development
Similar plugs
An open-source AI agent that brings the power of Gemini directly into your terminal.
Give your AI agent eyes to see the entire internet. Read & search Twitter, Reddit, YouTube, GitHub, Bilibili, XiaoHongShu — one CLI, zero API fees.
An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here…
Open-source web crawler and scraper for LLMs and AI agents: any website into clean, LLM-ready Markdown. Run it yourself, or use Crawl4AI Cloud with one key.
The fastest path to AI-powered full stack observability, even for lean teams.