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Omnisearch MCP server

by spences10·io.github.spences10/mcp-omnisearch·v0.0.15·350 stars

MCP server for integrating Omnisearch with LLMs

A92/100grade A
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Safety scan
A92/100

full report

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Established

350 stars470 downloads/wk

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Omnisearch tools (3)

write = sends, deletes, buys or posts

Read from the package source without running it. The installed server may list more.

  • github_repository_search

    Search for repositories on GitHub

  • github_search

    Search for code on GitHub. This is ideal for finding code examples, tracking down function definitions, or locating files with specific names or paths. Supports advanced query syntax with qualifiers like `filename:`, `path:`, `repo:`, `user:`, `language:`, and `in:file`. For example, to find a file named `settings.json` in a `.claude` directory, you could use the query: `filename:settings.json pat

  • github_user_search

    Search for users and organizations on GitHub

Public scan report

scanner v0.1.10 · 2026-10-01 · same rubric, same numbers if you re-run it

no findings
  • Code scan56 source files scanned25/25
  • –Live reliabilityno gateway calls yet and no remote to proben/a
  • –Tool poisoningtools not inspected (local package is not executed); not countedn/a
  • Auth qualitylocal package, no credentials required12/15
  • Maintenancelast push 0 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year8/10
Overall 92/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

Install Omnisearch in Claude Code, Cursor or VS Code

Runs npx -y mcp-omnisearch on your machine. Read the scan report first; the gateway never runs local packages.

claude mcp add mcp-omnisearch -- npx -y mcp-omnisearch
Add to Cursor

What the publisher says

From the Omnisearch repository's README, as published. We do not edit it. Read it 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, Exa, or Kagi Enrichment.

{
	"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.

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

github_search

Search GitHub code, repositories, or users.

{
	"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.

{
	"url": "https://example.com/long-article",
	"provider": "tavily",
	"mode": "extract",
	"extract_depth": "advanced",
	"query": "installation requirements",
	"chunks_per_source": 3,
	"format": "markdown"
}

Documentation

by task, key, mode, and capability.

  • Provider selection — choose providers

matrix and tested examples.

  • Search operators — operator support

behavior and remote deployment caveats.

  • Large results — inline vs file response

setup.

  • Deployment — MCP client, WSL, and Firecrawl

validation, rate limits, and common failures.

  • Troubleshooting — keys, access,

Environment variables

  • TAVILYAPIKEY
  • KAGIAPIKEY
  • BRAVEAPIKEY
  • GITHUBAPIKEY
  • EXAAPIKEY
  • LINKUPAPIKEY
  • FIRECRAWLAPIKEY
  • FIRECRAWLBASEURL optional, for self-hosted Firecrawl
  • OMNISEARCHLARGERESULT_MODE optional, file default or inline

Development

pnpm install
pnpm run build
pnpm test

Shortened. The full README is on GitHub.

Nothing above is checked by us. What we check is on the safety report.

Omnisearch: common questions

Is Omnisearch MCP server safe?
Yes, by our scan: it is graded A (92/100). Read the Omnisearch safety report
How do I install Omnisearch?
It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
Does Omnisearch need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Omnisearch maintained?
The last commit was 12 days ago (2026-10-01). The latest release is v0.0.15.

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