What does the “fetch-embeddings” tool do?
It retrieves embeddings from a specific Supavec file based on a given query, returning relevant content.
@taishikato
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": {
"supavec-mcp-server": {
"command": "npx",
"args": [
"@supavec/mcp-server",
"--api-key",
"your_api_key"
]
}
}
}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。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
A Model Context Protocol (MCP) server that enables AI assistants to fetch relevant embeddings and content from Supavec. It works with Cursor, Claude, VS Code Copilot, and other MCP-compatible tools.
Install via npx @supavec/mcp-server --api-key your_api_key or globally with npm install -g @supavec/mcp-server. Configure by adding the server to your MCP client’s JSON configuration (e.g., .cursor/mcp.json). Provide your Supavec API key via the --api-key argument or the SUPAVEC_API_KEY environment variable.
It retrieves embeddings from a specific Supavec file based on a given query, returning relevant content.
Visit Supavec.com, sign up or log in, navigate to API settings, and generate a new key.
You must provide an API key via `--api-key` or the `SUPAVEC_API_KEY` environment variable.
A 401 error indicates an invalid or expired API key; a 404 error means the file ID does not exist or you lack access.
Yes, the “list-user-files” tool accepts `limit`, `offset`, and `order_dir` parameters for pagination and sorting.
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