What are the prerequisites?
Node.js v18 or higher, Claude Desktop installed, an Exa API key, and Git.
@aditya002p
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-server-aditya002p": {
"command": "node",
"args": [
"--version",
"#",
"Should",
"show",
"v18.0.0",
"or",
"higher"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
A Model Context Protocol (MCP) server that lets AI assistants like Claude use the Exa AI Search API for web searches, providing real-time web information in a safe and controlled way.
Install globally with npm install -g exa-mcp-server or via Smithery. Configure Claude Desktop by adding the server to claude_desktop_config.json with an EXA_API_KEY environment variable and optional --tools parameter to select which tools to enable. Restart Claude Desktop; the server can also be run directly with npx exa-mcp-server.
Node.js v18 or higher, Claude Desktop installed, an Exa API key, and Git.
You can install via npm (`npm install -g exa-mcp-server`), automatically through Smithery (`npx -y @smithery/cli install exa --client claude`), or manually by cloning the repository and building it.
Add a server entry to `claude_desktop_config.json` with the command `npx`, the path to the build file, and the `EXA_API_KEY` environment variable. Optionally use the `--tools` parameter to enable specific tools.
The server includes `web_search_exa`, `research_paper_search`, `twitter_search`, `company_research`, `crawling`, `competitor_finder`, and `linkedin_search`.
Use the MCP Inspector by running `npx @modelcontextprotocol/inspector node ./build/index.js`, which provides an interactive interface to explore capabilities and execute searches.

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