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  3. MCP Omnisearch
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MCP Omnisearch

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View Repository

MCP server for integrating Omnisearch with LLMs

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "mcp-omnisearch": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-omnisearch"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

mcp-omnisearch

built with vite+ tested with vitest

A Model Context Protocol (MCP) server that provides unified access to Tavily, Brave, Kagi, Exa AI, GitHub, Linkup, and Firecrawl through four consolidated tools.

Glama badge

Quick start

Install the published server with MCPick:

Terminal
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:

Terminal
npx mcpick add \
  --name mcp-omnisearch \
  --command npx \
  --args=-y,mcp-omnisearch \
  --client vscode \
  --scope project

See Deployment for secret-safe provider-key setup and the supported clients.

To run from source instead:

bash
pnpm install
pnpm run build
node ./dist/index.js

You can also configure the server manually with whichever provider keys you have. Providers without keys are skipped and the rest keep working.

config.json
{
	"mcpServers": {
		"mcp-omnisearch": {
			"command": "node",
			"args": ["/path/to/mcp-omnisearch/dist/index.js"],
			"env": {
				"TAVILY_API_KEY": "your-tavily-key",
				"KAGI_API_KEY": "your-kagi-key",
				"BRAVE_API_KEY": "your-brave-key",
				"GITHUB_API_KEY": "your-github-token",
				"EXA_API_KEY": "your-exa-key",
				"LINKUP_API_KEY": "your-linkup-key",
				"FIRECRAWL_API_KEY": "your-firecrawl-key"
			}
		}
	}
}

Tools

web_search

Search the web with Tavily, Brave, Kagi, Exa, or Kagi Enrichment.

config.json
{
	"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 Kagi FastGPT, Exa Answer, Linkup, or Tavily Research. Tavily Research returns a task ID first; pass it back as research_id to retrieve the report.

config.json
{
	"query": "Explain the differences between REST and GraphQL",
	"provider": "kagi_fastgpt"
}

github_search

Search GitHub code, repositories, or users.

config.json
{
	"query": "filename:remote.ts @sveltejs/kit",
	"search_type": "code",
	"limit": 5
}

web_extract

Extract, crawl, scrape, summarize, or find similar content with Tavily, Kagi, Firecrawl, or Exa.

config.json
{
	"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 β€” choose providers by task, key, mode, and capability.
  • Search operators β€” operator support matrix and tested examples.
  • Large results β€” inline vs file response behavior and remote deployment caveats.
  • Deployment β€” MCP client, WSL, and Firecrawl setup.
  • Troubleshooting β€” keys, access, validation, rate limits, and common failures.

Environment variables

  • TAVILY_API_KEY
  • KAGI_API_KEY
  • BRAVE_API_KEY
  • GITHUB_API_KEY
  • EXA_API_KEY
  • LINKUP_API_KEY
  • FIRECRAWL_API_KEY
  • FIRECRAWL_BASE_URL optional, for self-hosted Firecrawl
  • OMNISEARCH_LARGE_RESULT_MODE optional, file default or inline

Development

bash
pnpm install
pnpm run build
pnpm test

Please read CONTRIBUTING.md before opening a PR.

License

MIT License - see LICENSE.

Acknowledgments

Built on Model Context Protocol, Tavily, Kagi, Brave Search, Exa AI, Linkup, and Firecrawl.

Read the full README β†’View source on GitHub β†’

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Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about MCP Omnisearch

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "mcp-omnisearch": { "command": "npx", "args": ["-y", "mcp-omnisearch"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
25Quality signal: Emerging Β· 25/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools10/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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