MCP Connector

Organize and Focus AI Tools

MCP proxy that groups tools from unlimited MCP servers into focused, hot-swappable toolsets for your AI.

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90
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out of 100
Updated 9 months ago
Version 0.0.45
Models
universal

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Why it matters

Streamline AI tool selection by organizing unlimited MCP servers into focused, hot-swappable toolsets. Reduce overload and improve accuracy for specific tasks.

Outcomes

What it gets done

01

Create specialized tool collections (3-5 tools) for specific tasks.

02

Dynamically switch between toolsets without restarting.

03

Leverage pre-configured personas for common development roles.

04

Monitor server health and reconnect automatically.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-hypertool | bash

Capabilities

Tools your agent gets

list-available-tools

Shows token estimation for all available tools across all MCP servers

get-active-toolset

Shows token usage for your current active tool set

Overview

Hypertool MCP Server

An MCP proxy server that lets you connect unlimited MCP servers while exposing your AI only a focused, hot-swappable toolset at a time, with pre-configured personas and per-tool token measurement. Use once too many connected MCP servers cause wrong tool picks or hit a tool-count ceiling. Hot-swap without restart works in Cursor/VSCode; Claude Desktop needs a restart after switching toolsets.

What it does

HyperTool MCP is a local proxy server that sits between your AI (Claude, Cursor, etc.) and all your configured MCP servers, letting you connect unlimited servers - 10, 50, or 500+ tools total - while your AI only sees a focused, task-specific subset at any time. Instead of exposing all tools from every server (which causes wrong tool picks, slow decisions, and confused context once you cross roughly 50-100 tools), HyperTool lets you build named toolsets like "coding" (5 focused tools instead of 47 raw Git commands) and switch between them instantly.

Setup copies your existing MCP config to .mcp.hypertool.json, then points your AI's MCP config at HyperTool itself, which proxies through to the real servers.

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

Personas are pre-configured MCP server bundles with curated toolsets for common workflows - web-dev (Git, Docker, Filesystem, Browser, Testing), data-scientist (Python, Jupyter, Database, Filesystem, Plotting), devops (Docker, Kubernetes, AWS, Terraform, Monitoring), content-creator (Notion, Slack, Grammar, SEO, Social), and researcher (Perplexity, Arxiv, Wikipedia, Filesystem) - installed from a separate awesome-mcp-personas repository and runnable with --persona <name>, optionally combined with your own --mcp-config servers.

Context measurement shows token estimates for every available tool and for the currently equipped toolset via the list-available-tools and get-active-toolset MCP tools, using BPE-based approximation for consistent relative comparisons (not exact per-model token counts) with under 10ms overhead. Tool annotations let you enhance tool descriptions with examples and context to improve the AI's tool-selection accuracy. Server groups organize MCP servers into logical sets so related servers launch together per project. HTTP mode runs HyperTool as a long-lived server for persistent connections; in stdio mode, a toolset is chosen at launch with --equip-toolset <name>.

Toolsets, personas, and preferences are all stored locally under ~/.toolprint/hypertool-mcp/ and can be edited directly while HyperTool is not running.

When to use - and when NOT to

Use this connector when you've connected enough MCP servers that your AI is choosing the wrong tool or hitting a tool-count ceiling (commonly cited around 100 tools), and you want task-specific toolsets (coding, writing, debugging, research) that your AI can hot-swap between rather than seeing every tool from every server at once.

Hot-swapping without a restart is fully supported in Cursor/VSCode; Claude Desktop currently requires an app restart after switching toolsets, and Claude Code hot-swap support was still in progress as of this writing (tracked via the --equip-toolset flag). Multiple simultaneous active toolsets are supported in stdio mode via the equip-toolset flag; HTTP mode supports one active toolset at a time, switchable on demand. The hypertool-mcp service subcommand is currently disabled.

Capabilities

Dynamic toolset creation, switching, and management (build/modify/equip toolsets on the fly); persona installation and use (bundled MCP servers plus curated toolsets for a workflow); context measurement (per-tool and per-toolset token estimates via list-available-tools and get-active-toolset); tool annotation enhancement for better AI tool selection; server grouping for project-based organization; and HTTP mode for persistent, long-lived connections.

How to install

Run via npx with no separate install step, pointing your MCP client's config at HyperTool instead of your servers directly: npx -y @toolprint/hypertool-mcp mcp run --mcp-config .mcp.hypertool.json for standard mode, or npx -y @toolprint/hypertool-mcp mcp run --persona web-dev for persona mode. For local development, clone the repository and run just setup-dev (Node.js 18+ and Python 3.8+ required for pre-commit hooks).

Who it's for

Developers and teams running many MCP servers who need their AI to stay focused on a small, relevant tool set per task instead of drowning in every available tool at once.

Source README
Shows a darkmode hypertool-mcp Logo in light color mode and a white one in dark color mode.

Give your AI the best tools from all your MCPs ๐ŸŽฏ

Version
Downloads
Discord
TypeScript
MCP Compatible
License: MIT

โšก Features

๐Ÿ”“ Break Free from Tool Limits

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

๐ŸŽฏ Task-Specific Toolsets

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

๐Ÿง  Smart Tool Descriptions

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

๐Ÿš€ 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. ๐ŸŽ‰

๐Ÿ’ก Want automated setup? Try our interactive setup command - see Advanced Guide for details.

๐Ÿ“š Configuration Mode: HyperTool uses a smart Configuration Mode to keep toolset management separate from your operational tools. Learn more in the Configuration Mode Guide.

๐ŸŽญ 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:

  • โœ… Pre-configured MCP servers
  • โœ… Curated toolsets for specific workflows
  • โœ… 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.

๐Ÿ“ฆ 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

๐Ÿ’ก Pro tip: Personas can be mixed with your existing servers! Add --mcp-config to include your custom servers alongside the persona's servers.

๐Ÿ“š Learn more: See the complete Personas Guide for detailed instructions, creating custom personas, and troubleshooting.

๐Ÿ“Š Context Measurement (NEW!)

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

Toolset Context View

Active toolset showing token usage per tool

Why it matters:

  • ๐ŸŽฏ Optimize context usage - Identify heavyweight tools consuming your context window
  • ๐Ÿ“‰ Make informed decisions - See token costs before adding tools to toolsets
  • ๐Ÿ” Compare alternatives - Find lighter tools that do the same job
  • ๐Ÿ’ก 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!

๐ŸŽฌ 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.

๐Ÿ—๏ธ How It Works

Before: Tool Chaos ๐Ÿ˜ต
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”   โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ Claude/     โ”‚โ”€โ”€โ–ถโ”‚ 50+ tools from 8 servers   โ”‚
โ”‚ Cursor      โ”‚   โ”‚ โŒ Wrong picks             โ”‚
โ”‚             โ”‚   โ”‚ โŒ Slow decisions          โ”‚
โ”‚             โ”‚   โ”‚ โŒ Confused context        โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜   โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

After: Expert Mode ๐ŸŽฏ
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”   โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”   โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ Claude/     โ”‚โ”€โ”€โ–ถโ”‚ HyperTool    โ”‚โ”€โ”€โ–ถโ”‚ ALL Your Tools  โ”‚
โ”‚ Cursor      โ”‚   โ”‚ (Local)      โ”‚   โ”‚ (Same servers)  โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜   โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜   โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                         โ”‚
                         โ–ผ
                  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
                  โ”‚ Smart Toolsets  โ”‚
                  โ”‚ ๐Ÿ”จ coding (5)   โ”‚ โ† "I'm coding now"
                  โ”‚ ๐Ÿ“ writing (3)  โ”‚ โ† "I'm writing now"
                  โ”‚ ๐Ÿ“Š analysis (4) โ”‚ โ† "I'm analyzing now"
                  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
                  โœ… 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
โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”         โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ ๐Ÿณ Docker (19 tools)       โ”‚         โ”‚ ๐Ÿ”จ "coding"      โ”‚
โ”‚  โ€ข build_image             โ”‚   โ”Œโ”€โ”€โ”€โ–ถ โ”‚  โ€ข git.status    โ”‚
โ”‚  โ€ข create_container        โ”‚   โ”‚     โ”‚  โ€ข git.commit    โ”‚
โ”‚  โ€ข run_container           โ”‚   โ”‚     โ”‚  โ€ข docker.build  โ”‚
โ”‚  โ€ข stop_container          โ”‚   โ”‚     โ”‚  โ€ข docker.run    โ”‚
โ”‚  โ€ข [... 15 more]           โ”‚   โ”‚     โ”‚  โ€ข github.pr     โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค   โ”‚     โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚ ๐Ÿ”€ Git (12 tools)          โ”‚โ”€โ”€โ”€โ”ค
โ”‚  โ€ข status                  โ”‚   โ”‚     โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚  โ€ข commit                  โ”‚   โ”‚     โ”‚ ๐Ÿ“ "writing"     โ”‚
โ”‚  โ€ข push                    โ”‚   โ””โ”€โ”€โ”€โ–ถ โ”‚  โ€ข notion.create โ”‚
โ”‚  โ€ข [... 9 more]            โ”‚         โ”‚  โ€ข slack.send    โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค         โ”‚  โ€ข grammarly.fix โ”‚
โ”‚ ๐Ÿ“ Notion (8 tools)        โ”‚โ”€โ”€โ”€โ”€โ”€โ”   โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜
โ”‚ ๐Ÿ’ฌ Slack (6 tools)         โ”‚     โ”‚
โ”‚ ๐Ÿ“Š Linear (10 tools)       โ”‚     โ”‚   โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚ ๐Ÿงช Testing (9 tools)       โ”‚     โ””โ”€โ–ถ โ”‚ ๐Ÿ› "debugging"   โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜         โ”‚  โ€ข logs.search   โ”‚
                                       โ”‚  โ€ข docker.logs   โ”‚
AI sees ALL 64 tools = confused ๐Ÿ˜ต     โ”‚  โ€ข traces.view   โ”‚
                                       โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

                                       AI sees 3-5 tools = focused ๐ŸŽฏ

๐Ÿ’ผ Real-World Toolsets

Create focused toolsets for different workflows:

๐Ÿ”จ Development Mode

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

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

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

๐Ÿ“ Content Creation

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

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

๐ŸŽฌ 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]

๐Ÿ’ก Pro tip: Start with 3-5 tools per toolset. Your AI will thank you!

๐Ÿ“‹ All Features

Explore everything HyperTool can do:

Feature Description Guide
๐ŸŽญ 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
๐Ÿ“ Server Groups Organize MCP servers into logical groups. Launch related servers together, switch between projects, and maintain focused contexts. Advanced Guide
๐Ÿ“Š Context Measurement See token estimates for every tool. Optimize your toolsets by understanding exactly how much context each tool consumes. Context Measurement
๐Ÿ”ง Configuration Mode Smart separation of toolset management from operational tools. Keep your AI focused on work, not configuration. Configuration Mode Guide
๐ŸŽฏ Dynamic Toolsets Build, modify, and switch between toolsets on the fly. Adapt your AI's capabilities to match your current task. Examples & Recipes
๐Ÿง  Tool Annotations Enhance tools with custom descriptions, examples, and context. Improve your AI's tool selection accuracy by 89%. Advanced Guide
๐Ÿš€ HTTP Mode Run HyperTool as a long-lived HTTP server for persistent connections and faster response times. Advanced Guide
๐Ÿ”Œ Unlimited Servers Connect as many MCP servers as you need. Break free from the 100-tool limit without sacrificing performance. Quick Start

โ“ 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.

๐ŸŽฎ 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 โœ… Full support Switch toolsets instantly - no restart needed!
Claude Code โณ Coming soon Use --equip-toolset <name> flag (track progress)
Claude Desktop โณ In progress Restart app after switching toolsets

๐Ÿ“š Learn More

๐Ÿ› ๏ธ 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.

๐Ÿค Contributing

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

๐Ÿ“„ License

MIT License - see LICENSE file for details.


Built by developers who got tired of watching AI pick the wrong tools ๐ŸŽฏ

Toolprint

Built with โค๏ธ by Toolprint
ยฉ 2025 OneGrep, Inc.

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