Skip to main content

MCP Servers Should Be Organized by Function, Not by Integration

· 6 min read
Tony Lewis
MCPBundles

There's a better way to organize MCP servers that solves the context rot problem plaguing AI workflows everywhere.

AI overwhelmed by too many tools

There's a Better Way to Organize MCP Servers​

The current approach to MCP server architecture looks like this:

  • One MCP server per integration
  • @modelcontextprotocol/server-github
  • @modelcontextprotocol/server-slack
  • @modelcontextprotocol/server-notion
  • @modelcontextprotocol/server-postgres

The result? Your AI has access to 300+ unorganized tools. It can't figure out what to use. This is context rot - when your AI is paralyzed by too many choices.

A better approach:

  • One MCP server per FUNCTION/WORKFLOW
  • Each server combines tools from MULTIPLE providers
  • Your AI gets focused, curated toolsets

MCPBundles: Function-First, Multi-Provider MCP Servers​

Instead of organizing by integration, we organize by what you're trying to accomplish.

Organized tools by function

Example: "Developer Tools" Bundle​

One MCP endpoint gives you:

  • GitHub: repos, PRs, commits
  • GitLab: projects, pipelines
  • Sentry: errors, monitoring
  • Linear: issue tracking
  • Jira: tickets, sprints

Result: 10-20 tools, perfectly curated for software development.

Your AI isn't drowning in 50 GitHub tools + 40 Slack tools + 30 Notion tools. It has exactly the tools it needs for development work.

Example: "Marketing Analytics" Bundle​

One MCP endpoint gives you:

  • Ahrefs: SEO rankings, keywords
  • Google Analytics: traffic, conversions
  • YouTube: video performance
  • Google Search Console: search data
  • HubSpot: CRM metrics

Your AI can answer: "How's our marketing performing?" by pulling from all five sources. Not by scrolling through 200+ unrelated tools.

Why This Matters: Fighting Context Rot​

Context rot happens when your AI has too many tools and can't figure out what to use.

With provider-based MCP servers:

Your config: 15 different MCP servers
Available tools: 300+
Your AI: "Should I use github-get-repo or github-list-repos or github-fetch-repository?"
You: *crying in the corner*

With function-based bundles:

Your config: "Developer Tools" bundle
Available tools: 18 curated dev tools
Your AI: "Here are your open PRs and critical Sentry errors"
You: 🎉

Focused AI = Effective AI

Multi-provider integration

How It Works​

1. Connect Providers (Dashboard → Providers)​

  • Add your GitHub API key
  • OAuth into Google Analytics
  • Connect Slack, Stripe, Notion, etc.
  • ~30 seconds per provider

2. Enable Function-Based Bundles (Dashboard → Bundles)​

  • "Developer Tools" (uses GitHub + GitLab + Sentry + Linear you connected)
  • "Marketing Analytics" (uses Ahrefs + GA + YouTube you connected)
  • "Sales Automation" (uses HubSpot + Stripe + Slack you connected)

Each bundle automatically uses the providers you've connected.

3. Install in ANY MCP-Compatible AI​

  • Claude Desktop: Download .mcpb file → double-click
  • Cursor: One-click install button
  • ChatGPT: Copy your bundle's MCP URL
  • VS Code: Add URL to MCP config
  • Any future MCP client: Works automatically

One bundle = one MCP endpoint with multi-provider tools

Happy focused AI

MCP is the New Standard​

This isn't just for Claude. Model Context Protocol is becoming the standard way AI tools connect to external services:

✅ ChatGPT - Supports MCP URLs
✅ Claude Desktop - Native MCP support
✅ Cursor - MCP integration
✅ VS Code - MCP extensions
✅ Windsurf - MCP compatible
✅ Continue - MCP support
✅ Any future AI IDE/assistant - Will support MCP

MCPBundles works with all of them. No lock-in. Open standard.

Real-World Example​

Scenario: You're a developer who also does marketing

Provider-based approach:​

"mcpServers": {
  "github": {...},
  "gitlab": {...},
  "sentry": {...},
  "linear": {...},
  "slack": {...},
  "notion": {...},
  "ahrefs": {...},
  "google-analytics": {...},
  "youtube": {...}
  // 9 different servers, 200+ tools, complete chaos
}

Your AI: confused, uses wrong tools, gives up

Function-based bundles:​

"mcpServers": {
  "dev-tools": { "url": "https://mcpbundles.com/bundle/my-dev-tools" },
  "marketing": { "url": "https://mcpbundles.com/bundle/my-marketing" }
}

When you're coding:

You: "What needs my attention?"
AI: *uses dev-tools bundle (18 focused tools)*
AI: "3 PRs need review, 2 critical Sentry errors, 5 high-priority Linear tickets"

When you're doing marketing:

You: "How's our content performing?"
AI: *uses marketing bundle (12 focused tools)*
AI: "YouTube views up 25%, ranking #3 for main keyword, traffic up 15%"

No context rot. Your AI knows exactly which tools to use based on which bundle.

Developer with multiple tools working together

Platform Stats​

  • 🎯 500+ function-based bundles - Organized by workflow, not provider
  • 🌐 490+ providers - GitHub, Slack, Stripe, Notion, HubSpot, Ahrefs, etc.
  • 🔧 4,800+ tools - All organized into focused bundles
  • 🤖 Works with any MCP client - ChatGPT, Claude, Cursor, VS Code, etc.

The Architecture Philosophy​

Provider ≠ Bundle​

  • Provider = The service (GitHub, Slack, Stripe)
  • Bundle = The function (Dev Tools, Marketing, Sales)

You connect providers once. Then you enable bundles that USE those providers.

One bundle can use many providers.
One provider can be used by many bundles.

This is how it should work.

Installation: Simple for Any AI​

Claude Desktop (easiest):​

  1. Download .mcpb file
  2. Double-click
  3. Done

Cursor / ChatGPT / VS Code:​

  1. Copy your bundle URL
  2. Paste into MCP config
  3. Done

One URL per bundle. Each bundle = multi-provider, function-focused toolset.

Why This Beats Individual MCP Servers​

Provider-Based MCPFunction-Based Bundles
20 separate servers2-3 bundles
300+ unorganized tools20-50 curated tools per bundle
Context rotFocused AI
Manage dependenciesCloud-hosted
Config file hellOne URL per bundle
AI paralyzed by choiceAI knows what to use

Examples of Function-Based Bundles​

Developer Tools​

→ GitHub + GitLab + Sentry + Linear + Jira

Marketing Analytics​

→ Ahrefs + Google Analytics + YouTube + Search Console + HubSpot

Sales Automation​

→ HubSpot + Stripe + Salesforce + Slack + Gmail

Content Creation​

→ Notion + Google Docs + WordPress + Medium + Ghost

Data Analysis​

→ PostgreSQL + MongoDB + BigQuery + Snowflake + Redshift

Each bundle = one MCP endpoint = multiple providers = focused tools

Built on Open Standards​

  • Model Context Protocol (MCP) - The emerging standard for AI-tool communication
  • Works with any MCP client - No vendor lock-in
  • Your credentials stay secure - OAuth 2.0, encryption
  • Cloud-hosted - No local dependencies to manage

Get Started​

Ready to give your AI focused, function-based tool access?

  1. Create a free account
  2. Connect your providers (GitHub, Slack, etc.)
  3. Enable bundles by function (Dev, Marketing, Sales)
  4. Install via .mcpb file or URL

Visit mcpbundles.com to start building better AI workflows today.

What's Your Feedback?​

We're building MCPBundles to solve real workflow problems. What do you think?

  • What workflows need bundles?
  • Are we organizing this the right way?
  • What providers are missing?

Let us know at support@mcpbundles.com or join the discussion in our community.