How do I get an API key?
Visit cffbrw.com/api-keys to obtain a free API key for the server.
@shizlie
基本情報
AI-powered workflow compiler for Cloudflare edge. Compile automation from prose via MCP, run forever without AI tokens. 14 tools, 4 resources.
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": {
"cffbrw": {
"type": "url",
"url": "https://api.cffbrw.com/mcp",
"headers": {
"Authorization": "Bearer <YOUR_API_KEY>",
"Accept": "application/json, text/event-stream"
}
}
}
}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。
上のボタンでサーバーのエンドポイントに接続し、ツール一覧を取得できます。
CFFBRW compiles automation written in plain English markdown into a deterministic execution plan and runs it on Cloudflare’s edge. It requires no AI tokens at runtime and is self-healing. It is aimed at developers who want long-running, reliable workflows without ongoing AI costs.
Obtain an API key at cffbrw.com/api-keys, add the server configuration to your .mcp.json file, then run the “introduce” prompt to learn the tools. From there you can compile, validate, deploy, and schedule workflows entirely through MCP.
Visit cffbrw.com/api-keys to obtain a free API key for the server.
No. AI tokens are only used during the compilation step; running workflows costs nothing in AI tokens.
It supports 11 step types: http_request, ai_call, transform, conditional, loop, wait, human_approval, code, mcp_call, connector, and sub_workflow.
The connector catalog includes Google Drive, Sheets, Calendar, Gmail, Slack, Discord, Notion, SendGrid, Resend, and Webhook.
Add the server config to your `.mcp.json`, get an API key, and run the “introduce” prompt to learn the tools. Then compile, validate, deploy, and schedule workflows via MCP.
MCP server that allow LLM in agent mode builds n8n workflows for you
AI assistant integration for n8n workflow automation through Model Context Protocol (MCP). Connect Claude Desktop, ChatGPT, and other AI assistants to n8n for natural language workflow management.
A Node.js–based Model Context Protocol server that spins up disposable Docker containers to execute arbitrary JavaScript.
Turn any JavaScript module into a sandboxed MCP (Model Context Protocol) server with automatic reflection and type inference.
This a simple implementation of an MCP server using iFlytek. It enables calling iFlytek workflows through MCP tools.
コメント