Server MCP Terhosting dan Middleware Pemasaran Terbaik
Stop juggling disconnected tools. Yaeris MCP is a fully managed MCP server that connects Claude and other AI models directly to your live marketing data — so your team can automate smarter, faster, and without touching a single line of code.
No local setup. No DevOps headache. Just plug in and go.
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Tidak ada lagi tugas-tugas yang membosankan.
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Compatible on any A.I. agent
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Hemat hingga 80% tugas kerja operasional Anda
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Seamless integration via OAuth & API token
What Is an MCP Server?
If you’ve been hearing the term “MCP server” a lot lately, here’s what it actually means in plain English.
MCP stands for Model Context Protocol. It’s an open standard created to solve one of the biggest frustrations in AI: AI tools like Claude are incredibly powerful, but out of the box, they can only work with the information you type into the chat. They have no way to see your live campaign data, pull your latest orders, or read what’s happening inside your ad account right now.
That’s where a Model Context Protocol MCP server comes in.
A model context protocol MCP server acts as a secure bridge between an AI model and your real-world business tools. When you send a message to Claude — for example, “What are my top-performing WhatsApp campaigns this week?” — the MCP server fetches that live data from your connected tools and hands it to the AI in real time. The AI then reads it, reasons over it, and gives you a meaningful answer based on what’s actually happening in your business.
Think of it this way: if Claude is a very smart analyst, the MCP server is the office assistant who runs around pulling the right reports and handing them over so the analyst can actually do their job.
Without an MCP server, your AI is working blind. With one, it becomes your most powerful team member.
What Is Middleware? And Why Does It Matter?
Before we go further, let’s clear up another term you’ll see on this page: middleware.
What is middleware? In simple terms, middleware is software that sits in the middle — between your AI tool on one side and your business applications on the other. It’s the invisible layer that makes two systems talk to each other smoothly, even if they were never designed to work together.
A practical example: your WhatsApp blasting tool, your e-commerce store, and your CRM were all built by different companies with different data formats. They don’t naturally speak the same language. Middleware translates between them, routing the right data to the right place at the right time.
Yaeris MCP is marketing middleware built specifically for AI-powered workflows. It doesn’t just connect your tools — it exposes them to Claude and other AI models through a single, unified MCP endpoint. That means instead of building separate integrations for every tool in your stack, you connect once through Yaeris MCP and your AI gets access to everything.
The Problem with Traditional Marketing Automation Platforms
Most marketing automation platforms were built before AI became practical. They work on fixed logic: if this happens, do that. Trigger-based. Rule-based. Rigid.
That approach still has its place, but it has real limits:
Manual Labor
You need to set up every rule manually, upfront
Troublesome
When conditions change, you have to go back in and update the rules
Lack of Context
They can't interpret context or nuance — only exact matches
Lack of Resources
Building new automations requires technical knowledge or developer time
Expensive Integrations
Most platforms don't connect to newer tools without expensive custom integrations
The result? Marketing teams end up spending more time maintaining their automation than actually using it. And when something breaks at 2am before a campaign launch, nobody’s happy.
What the market needed was a smarter layer on top — one that lets AI handle the interpretation, the reasoning, and the decisions, while the automation layer handles the execution.
That’s exactly what Yaeris MCP is designed to do.
Introducing Yaeris MCP: The Hosted MCP Server Built for Agencies
Yaeris MCP is a secure, multi-tenant SaaS middleware platform that aggregates third-party marketing and e-commerce APIs and makes them available through a single, hosted MCP server endpoint.
What that means for you: instead of spinning up your own MCP server (which requires infrastructure, configuration, security hardening, and ongoing maintenance), you get a fully managed MCP server that’s ready to go the moment you sign up.
You get all the power of a model context protocol MCP setup — Claude connected to your live business data — without any of the DevOps work.
This is the bridge between Claude and your real business world.
What Makes Yaeris MCP Different
Most MCP implementations today are local, developer-built setups. You install packages, configure environment variables, manage credentials, and hope nothing breaks when you update your tools. It’s powerful, but it’s built for engineers.
Yaeris MCP is built for agencies, marketing teams, and business operators who want results — not infrastructure.
Here’s what sets it apart:
Fully hosted and managed
We run the server. We handle uptime, security, and updates. You focus on the work.
Multi-tenant by design
Each client gets their own isolated environment. Agencies can manage multiple clients from a single dashboard without data ever crossing between accounts.
Credit-based pay-per-use model
No bloated monthly subscriptions for features you don't use. You pay for what you actually run — making it the most cost-efficient option for agencies managing variable workloads.
Unified endpoint
All your connected tools (WhatsApp APIs, SMS gateways, e-commerce platforms, CRM systems, ad accounts) are accessible through one MCP endpoint. Your AI talks to one place; that place handles the rest.
AI-model agnostic
Built around the MCP open standard, Yaeris MCP works with Claude, and is designed to be compatible with other MCP-enabled AI models as they roll out.
Bagaimana Layanan Otomasi AI Kami Memberikan Manfaat bagi Berbagai Industri
Layanan otomatisasi AI membantu berbagai industri merampingkan operasional, meningkatkan keterlibatan, dan memperluas layanan dengan tepat.
Otomatisasi AI memberdayakan bisnis di berbagai industri untuk beroperasi lebih cerdas, lebih cepat, dan lebih efisien. Mulai dari mengurangi beban kerja manual hingga meningkatkan pengalaman pelanggan, solusi kami membantu perusahaan merampingkan operasi, meningkatkan keterlibatan, dan berkembang dengan percaya diri. Apa pun industri Anda, AI memberi Anda ketepatan dan kelincahan untuk tetap unggul di pasar yang kompetitif saat ini.
Step 1: Connect your tools.
Link the platforms you already use — WhatsApp Cloud API, SMS gateways, WooCommerce, Google Analytics, ad platforms, CRM tools. Yaeris MCP supports a growing library of pre-built connectors so you don't need to write integration code.
Step 2: Configure your MCP endpoint.
You get a secure, dedicated MCP server endpoint unique to your account. This is the address your AI model will use to access your connected data and trigger actions.
Step 3: Connect Claude (or your preferred AI model).
Point Claude at your Yaeris MCP endpoint. From this point on, when you (or your AI) need live data or need to trigger an action, it goes through Yaeris MCP.
Step 4: Automate and scale.
Use Claude to query your data, generate reports, trigger campaigns, respond to customer signals, and coordinate workflows across platforms, all in natural language, all in real time.
What You Can Do With Yaeris MCP
Once your AI is connected through Yaeris MCP, the range of things you can automate expands dramatically. Here are some practical examples:
Marketing Agencies
Client Reporting Automation
E-Commerce Businesses
Real Time Notification
Sales Teams
Sales Activities Automation
Customer Service Operations
A.I. Chatbot
All Marketing Businesses
A.I. Powered Marketing
Suitable For All Businesses
Automate With Confident
Who Is Yaeris MCP For?
Yaeris MCP is purpose-built for:
Digital agencies
Managing multiple clients who want to offer AI-powered marketing automation without building and maintaining their own infrastructure.
Marketing teams
At mid-size businesses who have multiple tools in their stack and want to connect them intelligently through AI.
SaaS builders and resellers
Who want to integrate a production-ready MCP server into their own product without starting from scratch.
Growth operators
Running WhatsApp, SMS, or multi-channel campaigns who want smarter triggers and real-time responses without rigid automation rules.
If you’re already using Claude or planning to, and you have live business data you want your AI to actually work with — Yaeris MCP is the missing piece.
Hosted MCP Server vs. Building Your Own
You might be wondering: can’t I just set up my own MCP server? Yes, you can. But here’s what that actually involves:
| Yaeris MCP (Hosted) | Self-Hosted MCP | |
|---|---|---|
| Setup time | Minutes | Days to weeks |
| Technical requirement | None | Developer with Node.js / Python experience |
| Infrastructure cost | Included | You pay for servers, storage, bandwidth |
| Security responsibility | Handled by Yaeris | On you |
| Uptime & maintenance | Managed | On you |
| Multi-client support | Built in | Custom build required |
| API connector library | Pre-built and growing | Build each one yourself |
| Pay model | Pay per use (credits) | Fixed infrastructure cost regardless of usage |
For one-person dev teams exploring MCP as a hobby project, self-hosted makes sense. For agencies and businesses that need reliability, speed, and scale, a fully managed MCP server is the smarter choice.
The Credit-Based Model: Pay for What You Use
Traditional marketing automation platforms charge you a flat monthly fee regardless of whether you send 10 messages or 10,000. Yaeris MCP uses a dynamic credit-based pay-per-use model instead.
Here’s how it works:
Digital agencies
Each API call or action executed through the MCP server consumes a small number of credits
Marketing teams
You top up credits based on your actual usage
SaaS builders and resellers
Agencies can allocate credits across client accounts and track consumption per client
Growth operators
No wasted spend on idle months; no shock bills during high-volume campaigns
This makes Yaeris MCP one of the most cost-efficient marketing middleware solutions available — especially for agencies whose workloads fluctuate month to month.
Built on the MCP Open Standard
Yaeris MCP is built on the Model Context Protocol — an open standard designed to make AI tools interoperable with external data sources and systems. Because we follow the open standard, you’re not locked into a proprietary system that changes the rules on you.
As more AI models adopt MCP natively, your Yaeris MCP setup becomes more valuable, not less. Every new AI tool that speaks MCP becomes something you can plug in without rebuilding your stack.
This is infrastructure designed to grow with the AI ecosystem, not against it.
Ready to Connect Claude to Your Business?
Yaeris MCP removes every barrier between your AI and your live data. No local setup. No developer needed. No rigid automation rules.
Just a fully managed MCP server that lets Claude work with your real business in real time. Get started today for free and get first free 100 credits.
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Pertanyaan yang Sering Diajukan
My AI agent keeps hallucinating or failing when trying to update our CRM or adjust Google Ads. How does your middleware fix this?
You aren’t alone. AI models notoriously struggle with the highly interconnected nature of marketing APIs. In fact, research shows that even state-of-the-art LLMs equipped with function-calling capabilities succeed in less than 55% of complex CRM tasks (Huang et al., 2024). Our Marketing Middleware solves this by bridging the gap. It translates complex API structures (like HubSpot properties or Google Ads customer IDs) into clean, deterministic MCP tools, ensuring your AI executes tasks with near-perfect accuracy without getting confused by the underlying code.
Is it safe to connect an AI agent to my live marketing databases and customer lists?
Security is one of the most widely discussed concerns with early MCP adoption. Unverified or self-managed open-source servers can expose your infrastructure to unauthorized data access or silent data leaks. Our platform provides enterprise-grade, “secure-by-design” infrastructure. We enforce strict identity propagation, encrypted credential management, and granular tool-level allowlists so your AI only interacts with the specific data you authorize.
When my AI runs multi-step marketing workflows, it often hits rate limits or times out. Can your platform handle complex tasks?
Yes. A common issue developers face is that forcing an LLM to handle both the reasoning Dan the step-by-step execution simultaneously leads to massive token costs and timeout crashes. Our middleware acts as a workflow orchestration layer. It decouples the AI’s intelligence from the execution process—the AI makes the decision once, and our middleware handles the API retries, rate limits, and data piping automatically in the background.
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