The Challenge: Your Systems Don’t Talk

You’re drowning in a sea of amazing apps. Your CRM, your marketing automation, your internal Slack tools—they’re all powerful. But they don’t talk to each other.

So you write scripts. Brittle, one-off Python scripts for every little connection. They break if an API changes. They have no retry logic. They’re a nightmare to maintain.

Now, you want to bring in an AI to orchestrate this chaos. But asking an LLM to manage a dozen different API clients is like asking a grandmaster to play chess on a hundred different boards at once. It’s inefficient, insecure, and misses the point.

The real problem isn’t the APIs. It’s the lack of a single, reliable system that can speak every API’s language.

The Playbook: Give Your AI a Universal Translator

You don’t need a hundred different scripts. You need one bulletproof adapter.

This project delivers that system: a serverless MCP server that acts as a universal, high-throughput engine for any webhook-based API. It’s not just another fetch command; it’s a resilient, scalable framework that lets an AI agent safely and reliably execute complex workflows across your entire software stack.

Here’s the framework that makes it work.

1. The Power Move: Serverless-Aware Batching

This is the receipt. This is what separates a toy project from a production-ready system.

Serverless functions have strict time limits. If you try to process 10,000 leads in one go, your function will time out and fail silently. Most developers learn this the hard way. This server was built to master this environment.

The large_batch_webhook tool is engineered for this reality:

• Intelligent Chunking: It automatically breaks massive jobs into smaller, manageable chunks.
• CPU-Aware Execution: It constantly monitors its own execution time. If it gets close to the serverless timeout, it gracefully stops and reports back the work it completed, telling you exactly where it left off.

This isn’t just a feature; it’s a fundamental architectural decision that guarantees reliability at scale.

2. The Full Toolkit: From Single Shot to Complex Symphony

An AI needs more than one way to interact with the world. This server provides a complete toolkit for any scenario:

• The Reliable Signal (send_webhook): Your basic API call, but supercharged. With automatic retries and exponential backoff, it turns unreliable endpoints into consistent performers.
• The Efficiency Engine (batch_webhook): Send hundreds of updates in parallel, with concurrency controls to avoid overwhelming your partner APIs.

3. The Foundation: Built for the Edge

A modern system needs to be fast, secure, and infinitely scalable. This server is built from the ground up on Cloudflare Workers.

• Global Speed: Deployed to the edge, it runs physically close to your users and the APIs it calls, ensuring millisecond latency.
• Infinitely Scalable: It’s serverless. It handles one request or one million requests with zero configuration changes.
• Secure by Default: Every single input is rigorously validated with Zod schemas. No malformed data from the AI ever touches an external API.

The Bottom Line

This isn’t just a webhook tool. It’s a foundational piece of infrastructure for building truly capable AI agents. It solves the messy, unglamorous “plumbing” problems of API integration with elegant, robust engineering, freeing up the AI to focus on high-level strategy and execution.

This is the blueprint for turning a collection of disconnected apps into a cohesive, AI-driven automated system.