Skip to main content

MCP server for accessing Hanzo APIs and Platform capabilities

Project description

Hanzo MCP

Hanzo AI + Platform capabilities via the Model Context Protocol (MCP).

Overview

This project provides an MCP server that enables access to Hanzo APIs and Platform capabilities, as well as providing development tools for managing and improving projects. By leveraging the Model Context Protocol, this server enables seamless integration with various MCP clients including Claude Desktop, allowing LLMs to directly access Hanzo's platform functionality.

example

Features

  • Code Understanding: Analyze and understand codebases through file access and pattern searching
  • Code Modification: Make targeted edits to files with proper permission handling
  • Enhanced Command Execution: Run commands and scripts in various languages with improved error handling and shell support
  • File Operations: Manage files with proper security controls through shell commands
  • Code Discovery: Find relevant files and code patterns across your project
  • Project Analysis: Understand project structure, dependencies, and frameworks
  • Jupyter Notebook Support: Read and edit Jupyter notebooks with full cell and output handling

Tools Implemented

Tool Description
read_files Read one or multiple files with encoding detection
write_file Create or overwrite files
edit_file Make line-based edits to text files
directory_tree Get a recursive tree view of directories
get_file_info Get metadata about a file or directory
search_content Search for patterns in file contents
content_replace Replace patterns in file contents
run_command Execute shell commands (also used for directory creation, file moving, and directory listing)
run_script Execute scripts with specified interpreters
script_tool Execute scripts in specific programming languages
project_analyze_tool Analyze project structure and dependencies
read_notebook Extract and read source code from all cells in a Jupyter notebook with outputs
edit_notebook Edit, insert, or delete cells in a Jupyter notebook
think Structured space for complex reasoning and analysis without making changes

Getting Started

Usage

Configuring Claude Desktop

You can run it with uvx run hanzo-mcp without installation. Configure Claude Desktop to use this server by adding the following to your Claude Desktop configuration file:

{
  "mcpServers": {
    "hanzo": {
      "command": "uvx",
      "args": [
        "--from",
        "hanzo-mcp",
        "hanzo-mcp",
        "--allow-path",
        "/path/to/your/project"
      ]
    }
  }
}

Make sure to replace /path/to/your/project with the actual path to the project you want Claude to access.

Advanced Configuration Options

You can customize the server using other options:

{
  "mcpServers": {
    "hanzo": {
      "command": "uvx",
      "args": [
        "--from",
        "hanzo-mcp",
        "hanzo-mcp",
        "--allow-path",
        "/path/to/project",
        "--name",
        "custom-hanzo",
        "--transport",
        "stdio"
      ]
    }
  }
}

Configuring Claude Desktop System Prompt

To get the best experience with Hanzo MCP, you need to add the provided system prompt to your Claude Desktop client. This system prompt guides Claude through a structured workflow for interacting with Hanzo platform services and managing project files.

Follow these steps:

  1. Locate the system prompt file in this repository at doc/system_prompt
  2. Open your Claude Desktop client
  3. Create a new project or open an existing one
  4. Navigate to the "Project instructions" section in the Claude Desktop sidebar
  5. Copy the contents of doc/system_prompt and paste it into the "Project instructions" section
  6. Replace {project_path} with the actual absolute path to your project

The system prompt provides Claude with:

  • A structured workflow for analyzing and modifying code
  • Best practices for project exploration and analysis
  • Guidelines for development, refactoring, and quality assurance
  • Special formatting instructions for mathematical content

This step is crucial as it enables Claude to follow a consistent approach when helping you with code modifications.

Security

This implementation follows best practices for securing access to your filesystem:

  • Permission prompts for file modifications and command execution
  • Restricted access to specified directories only
  • Input validation and sanitization
  • Proper error handling and reporting

Development

To contribute to this project:

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add some amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

hanzo_mcp-0.1.25.tar.gz (44.1 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

hanzo_mcp-0.1.25-py3-none-any.whl (45.1 kB view details)

Uploaded Python 3

File details

Details for the file hanzo_mcp-0.1.25.tar.gz.

File metadata

  • Download URL: hanzo_mcp-0.1.25.tar.gz
  • Upload date:
  • Size: 44.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for hanzo_mcp-0.1.25.tar.gz
Algorithm Hash digest
SHA256 f6994b2c129351884d44c0d399284814af23bec6cbb831dc4ae75d8d8671ebf1
MD5 b8173aa8c93e010b276920d623bdcb18
BLAKE2b-256 834295d44859c26e8a68ab27517d335db55c2fc0eb45540d9f3b548002e92dbf

See more details on using hashes here.

File details

Details for the file hanzo_mcp-0.1.25-py3-none-any.whl.

File metadata

  • Download URL: hanzo_mcp-0.1.25-py3-none-any.whl
  • Upload date:
  • Size: 45.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for hanzo_mcp-0.1.25-py3-none-any.whl
Algorithm Hash digest
SHA256 2be1eb42f7b4429fcdaa19f3ec4ddcce576df1e9d894ee493b0874eff741580c
MD5 f41c1d2d6da94a558620d12dc2e309d0
BLAKE2b-256 9a70c45b8aaf089daeb5db6203540a5b6f3e5f4fa9d960c061b96569542a63ec

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page