A
security-
licenseA
qualityA proxy server that unifies multiple MCP servers, enabling seamless tool, prompt, and resource management via the MetaMCP App.
Last updated -
26
146
Apache 2.0
Hypertool-mcp centralizes and manages AI tools from multiple MCP servers by organizing them into focused 'toolsets' to enhance AI performance and overcome tool limits.
Discover Available Tools: List all tools from connected MCP servers with metadata, namespaced names, and reference IDs
Create & Manage Toolsets: Build custom toolsets by selecting specific tools, with options to auto-equip and save configurations
Dynamic Tool Control: Equip/unequip toolsets to dynamically filter available tools, ensuring only relevant tools are exposed to the AI
Toolset Operations: List, delete, and get detailed status of saved toolsets including tool counts and server information
Tool Annotations: Add contextual notes and guidance to individual tools within toolsets to improve AI tool selection
Server Organization: Group MCP servers logically by project or environment for easier management
Enhanced AI Performance: Improve focus, decision-making speed, and accuracy by providing task-specific, curated tool contexts while bypassing typical AI tool limits
Distributed through npm, allowing easy installation and updates via the npm package registry.
Built with TypeScript, providing type safety and better developer experience for those extending or modifying the MCP server.
⚡ Features
🔓 Break Free from Tool Limits
Connect unlimited MCP servers. Use 10, 50, or 500+ tools total - your AI only sees what it needs.
🎯 Task-Specific Toolsets
Build "git-essentials" with 5 tools instead of drowning in 47 Git commands. Switch contexts instantly.
🧠 Smart Tool Descriptions
Enhance tools with examples and context. Watch your AI pick the right tool 89% more often.
🚀 Quick Start
Step 1: Copy Your Existing Config
# In your project directory
cp .mcp.json .mcp.hypertool.json
Step 2: Point Your AI to HyperTool
Replace your .mcp.json with:
{
"mcpServers": {
"hypertool": {
"command": "npx",
"args": ["-y", "@toolprint/hypertool-mcp", "mcp", "run", "--mcp-config", ".mcp.hypertool.json"]
}
}
}
Step 3: Create Your First Toolset
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.
🎭 Personas: Pre-configured Tool Bundles (NEW!)
Don't want to configure from scratch? Use personas - ready-to-use MCP server bundles with pre-built toolsets.
What are Personas?
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
Quick Start with Personas
# 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
Available Personas
Persona | Included Servers | Best For |
web-dev | Git, Docker, Filesystem, Browser, Testing | Full-stack web development |
data-scientist | Python, Jupyter, Database, Filesystem, Plotting | Data analysis & ML workflows |
devops | Docker, Kubernetes, AWS, Terraform, Monitoring | Infrastructure & deployment |
content-creator | Notion, Slack, Grammar, SEO, Social | Writing & content management |
researcher | Perplexity, Arxiv, Wikipedia, Filesystem | Research & knowledge work |
Persona vs Standard Mode
# 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.
📊 Context Measurement (NEW!)
See exactly how much context each tool consumes. Optimize your toolsets with token estimates for every 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 toolsget-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!
🎬 Demo
Hotswap toolsets across 100+ tools
Targeted toolsets across any number of MCPs. Swap to the best toolset for a goal with a tool call. Dynamic tool registration.
🏗️ How It Works
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
What's a "Toolset"? Think Playlists for Your AI
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 🎯
💼 Real-World Toolsets
Create focused toolsets for different workflows:
🔨 Development Mode
"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
📝 Content Creation
"writing": notion + grammarly + slack (6 tools)
→ Blog posts, docs, and team updates
"research": perplexity + notion + filesystem (7 tools)
→ Deep dives with organized notes
🎬 Real Chat Example
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!
📋 All Features
Explore everything HyperTool can do:
Feature | Description | Guide |
🎭 Personas | Pre-configured MCP server bundles with curated toolsets. Get started instantly with ready-to-use workflows for web-dev, data science, DevOps, and more. | |
📁 Server Groups | Organize MCP servers into logical groups. Launch related servers together, switch between projects, and maintain focused contexts. | |
📊 Context Measurement | See token estimates for every tool. Optimize your toolsets by understanding exactly how much context each tool consumes. | |
🔧 Configuration Mode | Smart separation of toolset management from operational tools. Keep your AI focused on work, not configuration. | |
🎯 Dynamic Toolsets | Build, modify, and switch between toolsets on the fly. Adapt your AI's capabilities to match your current task. | |
🧠 Tool Annotations | Enhance tools with custom descriptions, examples, and context. Improve your AI's tool selection accuracy by 89%. | |
🚀 HTTP Mode | Run HyperTool as a long-lived HTTP server for persistent connections and faster response times. | |
🔌 Unlimited Servers | Connect as many MCP servers as you need. Break free from the 100-tool limit without sacrificing performance. |
❓ FAQ
General Questions
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.
Setup & Compatibility
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.
Technical Questions
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.
🎮 App Compatibility
Works with ANY MCP-compatible app! HyperTool is a standard MCP server, so if your app supports MCP, it supports HyperTool.
Hot-swap Toolsets Without Restarts
App | Status | How to Switch Toolsets |
Cursor/VSCode | ✅ Full support | Switch toolsets instantly - no restart needed! |
Claude Code | ⏳ Coming soon | Use
flag ( ) |
Claude Desktop | ⏳ In progress | Restart app after switching toolsets |
📚 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
🛠️ Development Setup
Prerequisites
Node.js 18+
Python 3.8+ (for pre-commit hooks)
Quick Setup
# Clone and install
git clone https://github.com/toolprint/hypertool-mcp.git
cd hypertool-mcp
just setup-dev # Installs dependencies and pre-commit hooks
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"
Available Commands
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
Service command
The hypertool-mcp service subcommand is currently disabled and will exit with a
notification when invoked.
🤝 Contributing
Found a bug? Have an idea? We'd love your help!
📄 License
MIT License - see LICENSE file for details.
Built by developers who got tired of watching AI pick the wrong tools 🎯
local-only server
The server can only run on the client's local machine because it depends on local resources.
Tools
Proxies to all of a user's MCPs and allows them to expose dynamic toolsets of tools from those servers to improve context and tool-usage.
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