CCM
/MCP
SkillsMCPMarketplacesDigestLearnAdvertise

This week in Claude

Every Monday: Claude Code, Agent SDK, MCP, and the Anthropic platform moves worth your time.

Skills by Category
Frontend DevelopmentBackend & APIsTesting & QASecurityDevOps & CI/CDGit & Pull RequestsDocumentationCode Review & QualityAI & Agent BuildingSkill Development
MCP Servers by Category
Sales & MarketingWeb & Browser AutomationDatabasesAI & LLM ToolsCloud & InfrastructureCommunication & MessagingDeveloper ToolsDesign & CreativeDocuments & KnowledgeSearch & Web Crawling
Marketplaces by Category
AI Agents & OrchestrationLLM IntegrationDevelopment ToolsFrontend & UIBackend & APIsDatabasesTesting & Code QualityDevOps & CloudSecurity & ComplianceGit & Version Control

Claude Code Marketplaces

Discover Claude Code plugins, extensions, and tools. Automatically updated directory of Anthropic Claude AI marketplaces with development tools, productivity plugins, and integrations.

Resources

  • Browse Skills
  • Browse MCP Servers
  • Browse Marketplaces
  • Plugins Reference

Community

  • About
  • Learn
  • Feedback
  • Privacy Policy
  • Advertise

Built for the Claude Code community with Claude Code by @mertduzgun

Independent project, not affiliated with Anthropic

Hypertool Mcp

toolprint/hypertool-mcp
153STDIOregistry active
Summary

Think of this as a smart proxy layer that sits between Claude and your existing MCP servers. Instead of overwhelming your AI with every available tool, Hypertool lets you create focused "toolsets" that expose only relevant commands for specific tasks. You can build a "git-essentials" toolset with 5 key Git commands instead of all 47, or a "coding" bundle that combines Docker, Git, and filesystem tools. The AI switches between these curated toolsets on demand, leading to better tool selection and faster decisions. It works with your current MCP setup by acting as a single server that proxies to all your others, adding the layer of intelligent tool filtering you didn't know you needed.

CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Vibe Prospecting MCPVibe Prospecting MCP
Vibe Prospecting MCP
Connect Claude to +800M contacts, +150M companies. Find & Enrich leads in chat.
Try For Free →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Vibe Prospecting MCPVibe Prospecting MCP
Vibe Prospecting MCP
Connect Claude to +800M contacts, +150M companies. Find & Enrich leads in chat.
Try For Free →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
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 🎯

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.

🚀 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

PersonaIncluded ServersBest For
web-devGit, Docker, Filesystem, Browser, TestingFull-stack web development
data-scientistPython, Jupyter, Database, Filesystem, PlottingData analysis & ML workflows
devopsDocker, Kubernetes, AWS, Terraform, MonitoringInfrastructure & deployment
content-creatorNotion, Slack, Grammar, SEO, SocialWriting & content management
researcherPerplexity, Arxiv, Wikipedia, FilesystemResearch & 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.

Toolset Context View

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!

🎬 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.

HyperTool Demo - Click for full video

🏗️ 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:

FeatureDescriptionGuide
🎭 PersonasPre-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 GroupsOrganize MCP servers into logical groups. Launch related servers together, switch between projects, and maintain focused contexts.Advanced Guide
📊 Context MeasurementSee token estimates for every tool. Optimize your toolsets by understanding exactly how much context each tool consumes.Context Measurement
🔧 Configuration ModeSmart separation of toolset management from operational tools. Keep your AI focused on work, not configuration.Configuration Mode Guide
🎯 Dynamic ToolsetsBuild, modify, and switch between toolsets on the fly. Adapt your AI's capabilities to match your current task.Examples & Recipes
🧠 Tool AnnotationsEnhance tools with custom descriptions, examples, and context. Improve your AI's tool selection accuracy by 89%.Advanced Guide
🚀 HTTP ModeRun HyperTool as a long-lived HTTP server for persistent connections and faster response times.Advanced Guide
🔌 Unlimited ServersConnect 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

AppStatusHow to Switch Toolsets
Cursor/VSCode✅ Full supportSwitch toolsets instantly - no restart needed!
Claude Code⏳ Coming soonUse --equip-toolset <name> flag (track progress)
Claude Desktop⏳ In progressRestart 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!

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

📄 License

MIT License - see LICENSE file for details.


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

Toolprint

Built with ❤️ by Toolprint
© 2025 OneGrep, Inc.

Featured
CodeRabbit
CodeRabbit
AI writes the code. CodeRabbit catches the slop.
Try For Free →
Make your agent a DeFi expert
Make your agent a DeFi expert
Agent, run crypto. Access onchain data & trade routes via 1inch.
Install now →
Make money from your Skills
Make money from your Skills
On Capafy, your Skill runs online 24/7 as an agent product, and you get paid every time someone uses it.
Start earning →
AppSignal
AppSignal
Monitor with ease. Code with confidence.
Start Free Trial →
Vibe Prospecting MCPVibe Prospecting MCP
Vibe Prospecting MCP
Connect Claude to +800M contacts, +150M companies. Find & Enrich leads in chat.
Try For Free →
Context.devContext.dev
Context.dev
Integrate web data into your AI product. One API to scrape website & brand data.
Get API Key Now →
Categories
AI & LLM Tools
Registryactive
Package@toolprint/hypertool-mcp
TransportSTDIO
UpdatedSep 10, 2025
View on GitHub

Related AI & LLM Tools MCP Servers

View all →
SkillFM LLM Cost Optimizer

io.github.ericm1018/skillfm-llm-cost-optimizer-openai-anthropic-usage

LLM cost optimizer for OpenAI, Anthropic, token usage, BYOK, and SkillFM Beacon audits.
Llm Orchestration Agent

io.github.mikerawsonnz/llm-orchestration-agent

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith
Authenticated Llm Agent

io.github.mikerawsonnz/authenticated-llm-agent

JWT-gated LLM gateway: authenticate (bcrypt/JWT), then run a LangChain-on-Vertex Gemini completion.
Copilot Memory MCP

labforgedev/copilot-memory-mcp

Persistent semantic memory for AI agents using local ChromaDB vector search. No cloud required.
1
Agent Prompt Injection Firewall Mcp

csoai-org/agent-prompt-injection-firewall-mcp

The WAF for agents. Pattern-based + heuristic firewall scans prompts, RAG documents, tool argume...
Authenticated Multi Llm Agent

io.github.mikerawsonnz/authenticated-multi-llm-agent

Google-OAuth-gated LLM gateway: verify a Google ID token, then run a Gemini (Vertex AI) completion f