Hanzo▌
by hanzoai
Hanzo secures codebase interactions with file ops, command execution, project analysis and Jupyter notebook management u
Enables secure interaction with codebases through tools for file operations, command execution, project analysis, and Jupyter notebook management with path validation and operation allowlisting
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / AI developers building complex automation workflows
- / Teams managing UI component libraries and design systems
- / Developers needing comprehensive codebase interaction tools
- / GUI automation and testing scenarios
capabilities
- / Execute shell commands and manage background processes
- / Read, write, edit, and search files across codebases
- / Manage UI components with source code access and project setup
- / Automate mouse, keyboard, and screen capture operations
- / Control windows and multi-monitor setups
- / Spawn AI agents for orchestration tasks
what it does
A comprehensive MCP server providing 54 development tools including file operations, shell commands, UI component management, and GUI automation. Offers flexible configuration to enable/disable tool categories as needed.
about
Hanzo is a community-built MCP server published by hanzoai that provides AI assistants with tools and capabilities via the Model Context Protocol. Hanzo secures codebase interactions with file ops, command execution, project analysis and Jupyter notebook management u It is categorized under developer tools.
how to install
You can install Hanzo in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Hanzo is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
@hanzo/mcp
Unified Model Context Protocol (MCP) server providing comprehensive AI development tools and UI component management.
Installation
npm install -g @hanzo/mcp
Quick Start
# Start with all tools enabled (default: 54 tools)
hanzo-mcp serve
# Core tools only (19 tools)
hanzo-mcp serve --core-only
# Disable specific tool categories
hanzo-mcp serve --disable-ui # Exclude UI tools
hanzo-mcp serve --disable-autogui # Exclude AutoGUI tools
hanzo-mcp serve --disable-orchestration # Exclude orchestration tools
# List all available tools (54 by default)
hanzo-mcp list-tools
# Install for Claude Desktop
hanzo-mcp install-desktop
Features
Core Tools (19 tools)
- File Operations: Read, write, list, create, delete, move files
- Search: Grep, find files, unified search strategies
- Editing: Single and multi-edit operations
- Shell: Command execution, background processes
UI Tools (11 tools - enabled by default)
Disable with --disable-ui flag:
- Component Management: List, search, and get component details
- Source Code Access: Retrieve component source and demos
- Project Setup: Initialize projects with Hanzo UI
- Blocks & Patterns: Access UI blocks and patterns
- Installation Guides: Complete setup documentation
AutoGUI Tools (18 tools - enabled by default)
Disable with --disable-autogui flag:
- Mouse Control: Move, click, drag, scroll operations
- Keyboard Control: Type text, press keys, hotkey combinations
- Screen Capture: Screenshots, pixel color detection
- Image Recognition: Find images on screen with confidence matching
- Window Management: List, activate, control windows
- Multi-monitor Support: Screen information and coordinates
Orchestration Tools (6 tools - enabled by default)
Disable with --disable-orchestration flag:
- Agent Spawning: Create AI agents with specific models and constraints
- Swarm Orchestration: Coordinate multiple agents in parallel or sequence
- Critic Agents: Code review and quality gate enforcement
- Hanzo Node: Connect to distributed AI compute nodes
- LLM Router: Intelligent model selection and fallback chains
- Consensus: Multi-agent voting and decision making
Usage
CLI Options
# All tools enabled (default - 54 tools)
hanzo-mcp serve
# Core tools only (19 tools)
hanzo-mcp serve --core-only
# Disable specific categories
hanzo-mcp serve --disable-ui --disable-autogui --disable-orchestration
# Custom tool selection
hanzo-mcp serve --enable-categories files,ui --disable-tools bash,shell
# List tools by category
hanzo-mcp list-tools --category ui
Programmatic Usage
import { createMCPServer } from '@hanzo/mcp';
// Basic server with core tools
const server = await createMCPServer();
// Server with UI tools enabled
const serverWithUI = await createMCPServer({
toolConfig: {
enableCore: true,
enableUI: true
}
});
// Custom configuration
const customServer = await createMCPServer({
name: 'my-mcp-server',
version: '1.0.0',
toolConfig: {
enableCore: true,
enableUI: true,
enableAutoGUI: true,
enableOrchestration: true,
disabledTools: ['bash'],
customTools: [/* your tools */]
}
});
AI Client Configuration
Claude Desktop
Add to .mcp.json:
{
"mcpServers": {
"hanzo": {
"command": "npx",
"args": ["@hanzo/mcp", "serve"]
}
}
}
Cursor
Add to .cursor/mcp.json:
{
"mcpServers": {
"hanzo": {
"command": "npx",
"args": ["@hanzo/mcp", "serve"]
}
}
}
Features
- Modular Tool System: Enable only the tools you need (54 tools total)
- Agent Orchestration: Spawn and coordinate multiple AI agents
- Consensus Mechanisms: Multi-agent decision making and voting
- Critic System: Automated code review and quality enforcement
- LLM Routing: Intelligent model selection with fallback chains
- UI Component Integration: Access Hanzo UI components and patterns
- Computer Control: Full mouse, keyboard, and screen automation
- File System Operations: Comprehensive file manipulation
- Code Execution: Safe shell command execution
- Search Capabilities: Multiple search strategies
- Distributed Computing: Connect to Hanzo compute nodes
- Multi-Implementation Support: RustAutoGUI, JSAutoGUI, PyAutoGUI with automatic fallback
- Extensible Architecture: Add custom tools easily
- AI Client Integration: Works with Claude, Cursor, and other MCP clients
License
MIT © Hanzo AI
FAQ
- What is the Hanzo MCP server?
- Hanzo is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Hanzo?
- This profile displays 35 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Use Cases▌
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research → Summarize → Create document → Send notification
Complete complex tasks end-to-end without manual steps
Implementation Guide▌
Prerequisites
- ›Claude Desktop 0.7.0+ or Cursor IDE with MCP support
- ›Basic understanding of MCP architecture and capabilities
- ›Access credentials for integrated services (if required)
- ›Willingness to experiment and iterate on configuration
Time Estimate
15-60 minutes depending on server complexity
Installation Steps
- 1.Install MCP server: npm install -g [package-name] or via GitHub
- 2.Add server configuration to ~/.claude/mcp.json
- 3.Provide required credentials and configuration
- 4.Restart Claude Desktop to load new server
- 5.Test basic functionality with simple prompts
- 6.Explore capabilities and experiment with use cases
- 7.Document successful patterns for reuse
Troubleshooting
- ⚠MCP server not loading: Check config syntax, verify installation
- ⚠Connection errors: Check network, firewall, credentials
- ⚠Feature not working: Read server docs, check required parameters
- ⚠Performance issues: Monitor resource usage, check for network latency
- ⚠Conflicts with other servers: Check port assignments, namespace collisions
Best Practices▌
✓ Do
- +Read server documentation thoroughly before setup
- +Start with simple use cases to validate functionality
- +Test in non-production environment first
- +Monitor resource usage and performance
- +Keep servers updated for bug fixes and new features
- +Document configuration for team members
- +Use environment variables for sensitive configuration
✗ Don't
- −Don't grant overly permissive access to MCP servers
- −Don't skip reading security considerations in docs
- −Don't expose sensitive data without proper controls
- −Don't run untrusted MCP servers without code review
- −Don't ignore error messages—investigate root cause
💡 Pro Tips
- ★Combine multiple MCP servers for powerful workflows
- ★Create custom MCP servers for your specific needs
- ★Share successful configurations with team
- ★Use MCP inspector for debugging
- ★Join MCP community for tips and troubleshooting
Technical Details▌
Architecture
Model Context Protocol standardizes how AI hosts (Claude, Cursor) communicate with external tools and data sources through server implementations.
Protocols
- Model Context Protocol (MCP)
- JSON-RPC 2.0
- stdio or HTTP transport
Compatibility
- Claude Desktop
- Cursor IDE
- Custom MCP clients
When to Use This▌
✓ Use When
Use when you need Claude to access external data, execute actions, or integrate with tools. Best for extending AI capabilities beyond conversation.
✗ Avoid When
Avoid when native integrations exist (use official APIs directly), for real-time critical systems, or when security/compliance requires zero external dependencies.
Integration▌
- →Tool composition: Chain multiple MCP tools in workflows
- →Context augmentation: Provide AI with relevant external data
- →Action delegation: Let AI execute tasks on external systems
- →Bidirectional sync: Keep AI context and external systems in sync
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
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Ratings
4.5★★★★★35 reviews- ★★★★★Aanya Malhotra· Dec 24, 2024
I recommend Hanzo for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Chen Thompson· Dec 12, 2024
Hanzo is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Pratham Ware· Dec 8, 2024
Hanzo has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Anaya Park· Dec 8, 2024
We evaluated Hanzo against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Aanya Johnson· Nov 19, 2024
Strong directory entry: Hanzo surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Mei Rahman· Nov 15, 2024
We evaluated Hanzo against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Li Nasser· Nov 3, 2024
We wired Hanzo into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Anaya Choi· Oct 22, 2024
According to our notes, Hanzo benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Valentina Mensah· Oct 10, 2024
Hanzo has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Li Mehta· Oct 6, 2024
Useful MCP listing: Hanzo is the kind of server we cite when onboarding engineers to host + tool permissions.
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