CFFBRW — AI Workflow Compiler for Cloudflare Edge
@shizlie
CFFBRW — AI Workflow Compiler for Cloudflare Edge について
AI-powered workflow compiler for Cloudflare edge. Compile automation from prose via MCP, run forever without AI tokens. 14 tools, 4 resources.
基本情報
設定
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
ツールは検出されませんでした
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。
概要
What is CFFBRW — AI Workflow Compiler for Cloudflare Edge?
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.
How to use CFFBRW — AI Workflow Compiler for Cloudflare Edge?
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.
Key features of CFFBRW — AI Workflow Compiler for Cloudflare Edge
- Compiles plain English markdown into execution plans
- Runs on Cloudflare’s edge with self-healing capability
- No AI tokens consumed at runtime
- 14 tools, 4 resources, 2 prompts included
- 11 step types: http_request, ai_call, transform, loop, etc.
- Connector catalog for 10+ services (Google, Slack, Notion, etc.)
Use cases of CFFBRW — AI Workflow Compiler for Cloudflare Edge
- Schedule recurring data transformations or API calls
- Orchestrate multi-step approval flows with human_approval steps
- Connect Google Drive, Slack, and Notion into one automation
- Deploy and monitor workflows directly from an MCP client
FAQ from CFFBRW — AI Workflow Compiler for Cloudflare Edge
How do I get an API key?
Visit cffbrw.com/api-keys to obtain a free API key for the server.
Does CFFBRW consume AI tokens at runtime?
No. AI tokens are only used during the compilation step; running workflows costs nothing in AI tokens.
What step types does CFFBRW support?
It supports 11 step types: http_request, ai_call, transform, conditional, loop, wait, human_approval, code, mcp_call, connector, and sub_workflow.
What connectors are available?
The connector catalog includes Google Drive, Sheets, Calendar, Gmail, Slack, Discord, Notion, SendGrid, Resend, and Webhook.
How do I start using the server?
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.
「推論」の他のコンテンツ
Agenticstore — The Open Source Standard For Local Mcp Tooling
agenticstoreAgenticStore: The secure toolkit for AI agents. Instantly equip Claude Desktop, Cursor, and Windsurf with 27+ MCP tools, persistent memory, and SearXNG search, all protected by a built-in PII prompt firewall to protect your data from being exposed to AI agents.
Agentic Radar
splx-aiA security scanner for your LLM agentic workflows
MCP Sandbox
danstarnsTurn any JavaScript module into a sandboxed MCP (Model Context Protocol) server with automatic reflection and type inference.
Code Reasoning MCP Server
mettamattA code reasoning MCP server, a fork of sequential-thinking
MCP Advanced Reasoning Server for Cursor AI
AzDeltaQQThis is a very basic implementation of an Mcp-Reasoning-Server for Cursor AI .
コメント