You can't improve what you don't measure. But measuring is boring.
The Reporting & Analytics MCP server bundle gives you 8 MCP tools for analyzing transactions, tracking revenue, monitoring events, and generating reports. It's everything you need to understand your business performance without spending hours in spreadsheets.
Recurring revenue is the goal. But managing subscriptions? That's the hard part.
The Subscription Management MCP server bundle gives you 6 MCP tools for creating subscriptions, managing subscription plans, tracking usage for metered billing, and handling subscription lifecycle. SaaS products, membership sites, recurring revenue models—they all need subscriptions. This bundle makes it manageable.
Accepting payments shouldn't be complicated. But it usually is.
The Payment Processing MCP server bundle gives you 17 MCP tools for creating payment intents, processing charges, handling refunds, and managing payment methods. It's everything you need to take money from customers without the headache.
The Main Stripe MCP server bundle gives you everything. All Stripe payment MCP tools in one place.
Sometimes you need MCP tools from multiple specialized bundles. Sometimes you just want complete access without managing multiple bundles. Sometimes you're exploring Stripe capabilities and don't know what you need yet.
That's what the Main MCP server bundle is for.
We just added Stripe to MCPBundles. All the payment MCP tools you need, organized into 8 bundles that actually make sense.
Stripe's got everything. Payment processing, customer management, subscriptions, products, financial operations, reporting. But when you've got 45+ MCP tools staring at you, where do you even start?
That's where bundles come in. Instead of dumping everything into one massive pile, we split it up by what you're actually trying to do. Processing payments? There's a bundle for that. Managing subscriptions? Yep, that too. Handling disputes? Got it covered.
Each bundle has the MCP tools you need for that specific job. Nothing more, nothing less.
When you're building MCP tools, there's a moment where you realize something counterintuitive: the description field isn't just documentation—it's instruction. Every parameter description you write is a teaching moment where the AI learns not just what a parameter is, but when to use it, why it matters, and how it impacts the operation.
This shift in thinking—from documenting to teaching—changes how you design tools. Let me show you what that looks like in practice.
Here's a problem I kept running into: when you're building an MCP server, you face this weird tension between giving AI agents enough control and not drowning them in options. Build 20 different tools and you're burning context window on redundant functionality. Build 3 tools with no parameters and the AI can't do anything useful.
After shipping dozens of MCP integrations, I found something that actually works: six core tools that balance OpenAI's single-string requirements with rich, parameter-driven operations. It's not arbitrary—there's a reason this number keeps working.
When OpenAI integrated support for Anthropic's Model Context Protocol (MCP) into ChatGPT's deep research feature, they documented something elegant: a two-tool pattern that gives AI agents a consistent way to engage with any data source. If your MCP server implements search and fetch with their specific signatures, ChatGPT knows exactly how to explore your data without custom integration code.
Both tools accept only a single string parameter. That constraint isn't a limitation—it's what makes the pattern universal.
Weaviate is an open-source vector database that powers AI-native applications—RAG systems, semantic search, recommendation engines, and more. But how do you make a vector database accessible to AI agents? You can't just expose raw API endpoints and expect good results.
The answer: 6 focused tools organized around what developers actually do with vector databases. Not 20 tools covering every edge case. Not 3 tools that force you into awkward patterns. Just 6 tools that handle search, storage, browsing, and management—the core workflows every vector database application needs.
If you've ever installed an app on your computer—double-clicking a .dmg file on Mac or a .exe on Windows—you already understand .mcpb files.
Anthropic introduced the .mcpb extension (MCP Bundle) as the standard packaging format for distributing MCP servers. Think of it as the "app bundle" for AI tools: one file that contains everything needed to give your AI assistant new capabilities.
