How does AI access the API documentation data?
AI reads all API documentation data from the entire Apifox project through the MCP protocol, with data cached locally on your computer.
@apifox
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": {
"API 文档": {
"command": "npx",
"args": [
"-y",
"apifox-mcp-server@latest",
"--project-id=<project-id>"
],
"env": {
"APIFOX_ACCESS_TOKEN": "<access-token>"
}
}
}
}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。
Apifox MCP Server provides Apifox project API documentation as data to AI programming IDE tools like Cursor, enabling AI to directly access project API documentation.
Install Node.js 18+, generate an Apifox access token, obtain a project ID, then add the MCP configuration JSON to your IDE's MCP configuration file (e.g., ~/.cursor/mcp.json or Cline's MCP Server settings).
/users)AI reads all API documentation data from the entire Apifox project through the MCP protocol, with data cached locally on your computer.
Tell AI to refresh the API documentation data, otherwise AI may read outdated cached data.
Apifox MCP Server supports Cursor and VSCode with the Cline plugin, both of which support the MCP protocol.
Besides Apifox projects, the server also supports reading Swagger/OAS files directly via the `--oas` parameter (URL or local file path).
Name the MCP Server with "API文档" in its name for AI to recognize its purpose, avoid leaking access tokens in shared repositories, and add `--apifox-api-base-url` for on-premises deployment users.
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