What can you do with this server?

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

Which integrations are available for this server?

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.

How do I use hypertool-mcp?

1. Click on "Install Server". 2. Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state. 3. In the chat, type @ followed by the MCP server name and your instructions, e.g., "@hypertool-mcp switch to my coding toolset" That's it! The server will respond to your query, and you can continue using it as needed. Here is a step-by-step guide with screenshots.

hypertool-mcp by toolprint

Version Downloads Discord TypeScript MCP Compatible License: MIT

⚡ 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.

Related MCP server: mcprouter

🚀 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 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!

🎬 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.	Personas Guide
📁 Server Groups	Organize MCP servers into logical groups. Launch related servers together, switch between projects, and maintain focused contexts.	Advanced Guide
📊 Context Measurement	See token estimates for every tool. Optimize your toolsets by understanding exactly how much context each tool consumes.	Context Measurement
🔧 Configuration Mode	Smart separation of toolset management from operational tools. Keep your AI focused on work, not configuration.	Configuration Mode Guide
🎯 Dynamic Toolsets	Build, modify, and switch between toolsets on the fly. Adapt your AI's capabilities to match your current task.	Examples & Recipes
🧠 Tool Annotations	Enhance tools with custom descriptions, examples, and context. Improve your AI's tool selection accuracy by 89%.	Advanced Guide
🚀 HTTP Mode	Run HyperTool as a long-lived HTTP server for persistent connections and faster response times.	Advanced Guide
🔌 Unlimited Servers	Connect as many MCP servers as you need. Break free from the 100-tool limit without sacrificing performance.	Quick Start

❓ 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 `--equip-toolset <name>` flag (track progress)
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 🎯

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security – no known vulnerabilities

license - not found

quality - confirmed to work

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