How do I get an API key?
Visit cffbrw.com/api-keys to obtain a free API key for the server.
@shizlie
Basic information
AI-powered workflow compiler for Cloudflare edge. Compile automation from prose via MCP, run forever without AI tokens. 14 tools, 4 resources.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"cffbrw": {
"type": "url",
"url": "https://api.cffbrw.com/mcp",
"headers": {
"Authorization": "Bearer <YOUR_API_KEY>",
"Accept": "application/json, text/event-stream"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list directly from this server's endpoint using the button above.
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.
Turn any JavaScript module into a sandboxed MCP (Model Context Protocol) server with automatic reflection and type inference.
A code reasoning MCP server, a fork of sequential-thinking
MCP server that allow LLM in agent mode builds n8n workflows for you
MCP Server for Agentic RAG applications
This project demonstrates a decoupled real-time agent architecture that connects LangGraph agents to remote tools served by custom MCP (Modular Command Protocol) servers. The architecture enables a flexible and scalable multi-agent system where each tool can be hosted independent
Comments