# MCP Omnisearch (MCP server)

> MCP Omnisearch is an MCP server that provides unified access to Tavily, Brave, Kagi, Exa AI, GitHub, Linkup, and Firecrawl through four consolidated tools. It has 351 GitHub stars, is released under the MIT license and runs locally with npx -y 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.

## Key facts

| Fact | Value |
|---|---|
| Repository | https://github.com/spences10/mcp-omnisearch |
| GitHub stars | 351 |
| License | MIT |
| Language | TypeScript |
| Transport | stdio |
| Packages | npm: mcp-omnisearch |
| Remote URL | none |
| Needs API key | no |
| Official | no |
| Works with | Claude Desktop, Claude Code, Cursor, VS Code |
| Category | AI & search |
| Latest release | v0.1.0 (Aug 25, 2026) |
| Last commit | Oct 4, 2026 |
| MCP registry name | io.github.spences10/mcp-omnisearch |

## Install

### Claude Desktop (claude_desktop_config.json)

```json
{
  "mcpServers": {
    "mcp-omnisearch": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-omnisearch"
      ]
    }
  }
}
```

Settings > Developer > Edit Config. macOS: ~/Library/Application Support/Claude/, Windows: %APPDATA%\Claude\. Restart Claude Desktop afterwards.

### Claude Code

```sh
claude mcp add --transport stdio mcp-omnisearch -- npx -y mcp-omnisearch
```

### Cursor (.cursor/mcp.json)

```json
{
  "mcpServers": {
    "mcp-omnisearch": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-omnisearch"
      ]
    }
  }
}
```

Project file; use ~/.cursor/mcp.json to enable it in every project.

### VS Code (.vscode/mcp.json)

```json
{
  "servers": {
    "mcp-omnisearch": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-omnisearch"
      ]
    }
  }
}
```

Config formats checked against the official docs on 2026-10-07.

## Tools

- `web_search`: Search the web with Tavily, Brave, Kagi, Exa, or Kagi Enrichment.
- `ai_search`: Get sourced AI answers with Kagi FastGPT, Exa Answer, Linkup, or
- `github_search`: Search GitHub code, repositories, or users.
- `web_extract`: Extract, crawl, scrape, summarize, or find similar content with

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