Connect unlimited MCP servers. Use 10, 50, or 500+ tools total - your AI only sees what it needs.

Build "git-essentials" with 5 tools instead of drowning in 47 Git commands. Switch contexts instantly.

Enhance tools with examples and context. Watch your AI pick the right tool 89% more often.

# In your project directory
cp .mcp.json .mcp.hypertool.json

Replace your .mcp.json with:

{
  "mcpServers": {
    "hypertool": {
      "command": "npx",
      "args": ["-y", "@toolprint/hypertool-mcp", "mcp", "run", "--mcp-config", ".mcp.hypertool.json"]
    }
  }
}

Restart your AI and try:

You: "Create a toolset called 'coding' with git and docker tools"
AI: "Created 'coding' toolset with 15 focused tools"

You: "Switch to coding toolset"
AI: "Equipped! I now have just the tools needed for development"

That's it! Your AI is now focused and effective. 🎉

💡 Want automated setup? Try our interactive setup command - see Advanced Guide for details.

📚 Configuration Mode: HyperTool uses a smart Configuration Mode to keep toolset management separate from your operational tools. Learn more in the Configuration Mode Guide.

Don't want to configure from scratch? Use personas - ready-to-use MCP server bundles with pre-built toolsets.

Think of personas as "app bundles" for your AI - they come with:

• ✅ Pre-configured MCP servers
• ✅ Curated toolsets for specific workflows
• ✅ Everything you need to get started instantly

# 1. Clone the persona collection
git clone https://github.com/toolprint/awesome-mcp-personas

# 2. Add a persona (e.g., web-dev persona)
hypertool-mcp persona add awesome-mcp-personas/personas/web-dev

# 3. Run with the persona
npx -y @toolprint/hypertool-mcp mcp run --persona web-dev

That's it! No server configuration needed. The persona brings its own servers and toolsets.

📦 Browse all available personas: awesome-mcp-personas

# Standard Mode (use your existing MCP servers):
npx -y @toolprint/hypertool-mcp mcp run --mcp-config .mcp.hypertool.json

# Persona Mode (bundled servers + pre-built toolsets):
npx -y @toolprint/hypertool-mcp mcp run --persona web-dev

# Persona Mode with specific toolset:
npx -y @toolprint/hypertool-mcp mcp run --persona web-dev --equip-toolset frontend

💡 Pro tip: Personas can be mixed with your existing servers! Add --mcp-config to include your custom servers alongside the persona's servers.

📚 Learn more: See the complete Personas Guide for detailed instructions, creating custom personas, and troubleshooting.

See exactly how much context each tool consumes. Optimize your toolsets with token estimates for every tool.

Active toolset showing token usage per tool

Why it matters:

• 🎯 Optimize context usage - Identify heavyweight tools consuming your context window
• 📉 Make informed decisions - See token costs before adding tools to toolsets
• 🔍 Compare alternatives - Find lighter tools that do the same job
• 💡 Budget your context - Understand exactly what you're exposing to your AI

How to use:

Ask your AI to use these MCP tools to see context information:

• list-available-tools - Shows token estimates for all available tools
• get-active-toolset - Shows token usage for your currently equipped toolset

Each tool displays estimated tokens and percentage of total context consumed. Perfect for building lean, efficient toolsets!

Targeted toolsets across any number of MCPs. Swap to the best toolset for a goal with a tool call. Dynamic tool registration.

Before: Tool Chaos 😵
┌─────────────┐   ┌─────────────────────────────┐
│ Claude/     │──▶│ 50+ tools from 8 servers   │
│ Cursor      │   │ ❌ Wrong picks             │
│             │   │ ❌ Slow decisions          │
│             │   │ ❌ Confused context        │
└─────────────┘   └─────────────────────────────┘

After: Expert Mode 🎯
┌─────────────┐   ┌──────────────┐   ┌─────────────────┐
│ Claude/     │──▶│ HyperTool    │──▶│ ALL Your Tools  │
│ Cursor      │   │ (Local)      │   │ (Same servers)  │
└─────────────┘   └──────────────┘   └─────────────────┘
                         │
                         ▼
                  ┌─────────────────┐
                  │ Smart Toolsets  │
                  │ 🔨 coding (5)   │ ← "I'm coding now"
                  │ 📝 writing (3)  │ ← "I'm writing now"
                  │ 📊 analysis (4) │ ← "I'm analyzing now"
                  └─────────────────┘
                  ✅ Expert picks every time

Just like Spotify playlists organize your music, toolsets organize your AI tools:

ALL YOUR TOOLS (64 total)              YOUR TOOLSETS
┌────────────────────────────┐         ┌──────────────────┐
│ 🐳 Docker (19 tools)       │         │ 🔨 "coding"      │
│  • build_image             │   ┌───▶ │  • git.status    │
│  • create_container        │   │     │  • git.commit    │
│  • run_container           │   │     │  • docker.build  │
│  • stop_container          │   │     │  • docker.run    │
│  • [... 15 more]           │   │     │  • github.pr     │
├────────────────────────────┤   │     └──────────────────┘
│ 🔀 Git (12 tools)          │───┤
│  • status                  │   │     ┌──────────────────┐
│  • commit                  │   │     │ 📝 "writing"     │
│  • push                    │   └───▶ │  • notion.create │
│  • [... 9 more]            │         │  • slack.send    │
├────────────────────────────┤         │  • grammarly.fix │
│ 📝 Notion (8 tools)        │─────┐   └──────────────────┘
│ 💬 Slack (6 tools)         │     │
│ 📊 Linear (10 tools)       │     │   ┌──────────────────┐
│ 🧪 Testing (9 tools)       │     └─▶ │ 🐛 "debugging"   │
└────────────────────────────┘         │  • logs.search   │
                                       │  • docker.logs   │
AI sees ALL 64 tools = confused 😵     │  • traces.view   │
                                       └──────────────────┘

                                       AI sees 3-5 tools = focused 🎯

Create focused toolsets for different workflows:

"deep-coding": git + docker + filesystem (12 tools)
→ Everything you need for feature development

"code-review": git + github + linear (10 tools)
→ Review PRs, update tickets, merge with confidence

"debugging": logs + docker + traces + alerts (8 tools)
→ Find and fix issues fast

"writing": notion + grammarly + slack (6 tools)
→ Blog posts, docs, and team updates

"research": perplexity + notion + filesystem (7 tools)
→ Deep dives with organized notes

You: "I need to debug our API"
AI: "I'll switch to the debugging toolset for better focus"
[Now has: logs, traces, curl, docker]

You: "Actually, let's write the incident report"
AI: "Switching to writing toolset"
[Now has: notion, slack, templates]

💡 Pro tip: Start with 3-5 tools per toolset. Your AI will thank you!

Explore everything HyperTool can do:

Q: How is this different from just using MCP servers directly? A: HyperTool lets you use unlimited MCP servers without hitting the 100-tool limit, and dynamically switches between focused toolsets for better AI performance.

Q: What's the difference between Personas and Standard Mode? A: Standard Mode uses your existing MCP server configurations. Personas are pre-packaged bundles that include both MCP servers AND curated toolsets - perfect for getting started quickly or trying new workflows.

Q: Can I use multiple toolsets at once? A: In stdio mode (default), use --equip-toolset <name> when launching. HTTP mode supports one active toolset but you can switch anytime.

Q: Where are my toolsets and configurations stored? A: Everything is stored locally in ~/.toolprint/hypertool-mcp/:

• Personas: ~/.toolprint/hypertool-mcp/personas/
• Toolsets: ~/.toolprint/hypertool-mcp/toolsets/
• Preferences: ~/.toolprint/hypertool-mcp/config/ You can directly edit these files when HyperTool is not running.

Q: Does this work with Claude Desktop / Cursor / Claude Code? A: Yes! Cursor has full hot-swapping support. Claude Desktop works with restart. Claude Code hot-swap coming soon.

Q: What if an MCP server goes down? A: HyperTool monitors health and automatically reconnects when servers come back. Your toolsets stay intact.

Q: Can I share toolsets with my team? A: Import/export is coming soon! For now, you can copy and share toolset files - they'll work if your team has the same MCP servers configured.

Q: How accurate are the token estimates in context measurement? A: The estimates use BPE-based approximation for consistent relative comparisons between tools. They're perfect for understanding which tools consume more context, but not exact counts since different LLMs use different tokenizers.

Q: Does context measurement slow down my toolsets? A: No! Token counts are cached and add less than 10ms overhead. You won't notice any performance impact.

Q: How do I add tools from a new MCP server? A: Just add the server to your .mcp.hypertool.json config. It's automatically available for toolsets.

Q: Can I use this in production? A: Yes! For enterprise support, contact us.

Works with ANY MCP-compatible app! HyperTool is a standard MCP server, so if your app supports MCP, it supports HyperTool.

📚 Learn More

• 🎭 Personas Guide - Complete guide to using and creating personas
• 🔬 Research & Performance - Why focused toolsets work
• 🚀 Advanced Features - Tool annotations, HTTP mode, CLI
• 🔧 Troubleshooting - Common issues and solutions
• 📖 Examples & Recipes - Toolset patterns for every workflow

• Node.js 18+
• Python 3.8+ (for pre-commit hooks)

# Clone and install
git clone https://github.com/toolprint/hypertool-mcp.git
cd hypertool-mcp
just setup-dev  # Installs dependencies and pre-commit hooks

This project uses pre-commit hooks to ensure code quality:

# Install pre-commit hooks (included in setup-dev)
just setup-pre-commit

# Run hooks manually
just pre-commit-check        # On staged files
just pre-commit-check-all    # On all files

# Skip hooks for emergency commits (use sparingly)
SKIP=eslint,typescript git commit -m "emergency fix"

just build          # Build the project
just test           # Run tests
just lint           # Run linting
just format         # Format code
just typecheck      # Check types
just pre-publish-checks  # Run all quality checks

The hypertool-mcp service subcommand is currently disabled and will exit with a notification when invoked.

Found a bug? Have an idea? We'd love your help!

• 🐛 Report issues
• 💡 Share ideas
• 🔧 Submit PRs

MIT License - see LICENSE file for details.

Built by developers who got tired of watching AI pick the wrong tools 🎯

Built with ❤️ by Toolprint
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