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Claudes Toolbox
What is Claudes Toolbox
claudes_toolbox is a server application that exposes CLI programs and functions via the Model Context Protocol (MCP), allowing AI assistants to access these tools through various interfaces such as Claude Code, Claude Desktop, and Copilot.
Use cases
Use cases include generating unit tests from JSON specifications, creating markdown documentation from Python code, fixing linting issues in Python files, running tests and saving results, and searching code with pattern matching.
How to use
To use claudes_toolbox, you need to add your function files to the ‘tools/functions’ directory, name them accordingly, and configure the server settings in the ‘configs.yaml’ file. Once set up, the tools can be invoked through the supported interfaces.
Key features
Key features include arbitrary function registration, standalone CLI tools for tasks like test generation and documentation creation, automatic virtual environment activation for each tool, customizable server settings, and cross-platform support for WSL2, Linux/MacOS, and Windows.
Where to use
claudes_toolbox can be used in software development environments, particularly for Python projects, to automate testing, documentation, and code quality checks.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Claudes Toolbox
claudes_toolbox is a server application that exposes CLI programs and functions via the Model Context Protocol (MCP), allowing AI assistants to access these tools through various interfaces such as Claude Code, Claude Desktop, and Copilot.
Use cases
Use cases include generating unit tests from JSON specifications, creating markdown documentation from Python code, fixing linting issues in Python files, running tests and saving results, and searching code with pattern matching.
How to use
To use claudes_toolbox, you need to add your function files to the ‘tools/functions’ directory, name them accordingly, and configure the server settings in the ‘configs.yaml’ file. Once set up, the tools can be invoked through the supported interfaces.
Key features
Key features include arbitrary function registration, standalone CLI tools for tasks like test generation and documentation creation, automatic virtual environment activation for each tool, customizable server settings, and cross-platform support for WSL2, Linux/MacOS, and Windows.
Where to use
claudes_toolbox can be used in software development environments, particularly for Python projects, to automate testing, documentation, and code quality checks.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
mcp_server_for_claudes_toolbox
Author: Claude 3.7 Sonnet, Kyle Rose
Version: 0.2.0
A server application that exposes Claude’s Toolbox utility programs via the Model Context Protocol (MCP), making them accessible to AI assistants like Claude through different interfaces (Claude Code, Claude Desktop, Copilot, etc.).
Features
- Arbitrary function registration and invocation. Just add a function to the
tools/functionsfolder, name the file after it, and it will be available for use. - Exposes a set of standalone command-line interface (CLI) tools for various tasks. Current CLI tools include:
- test_generator: Creates unittest test files from JSON specifications.
- documentation_generator: Generates markdown documentation from Python source code.
- lint_a_python_codebase: Fixes common linting issues in Python files like blank lines, trailing spaces, and newlines.
- run_tests_and_save_their_results: Runs unit tests, type checking, and linting for Python projects, and saves the results as JSON and Markdown files.
- codebase_search: Searches code with pattern matching.
- Each CLI tool is a complete program unto itself and can be set up to use its own virtual environments. The server will automatically activate the appropriate virtual environment for each tool when called.
- Customizable server settings in
configs.yamlfile, allowing for easy changes settings like verbosity, log level, host, port, and reload options. - Cross-platform tool support for WSL2, Linux/MacOS, and Windows. This allows the server to register and run tools written for a Posix environment on Windows, and vice versa. Just add the appropriate config code to the MCP config file for your platform.
Configuration
The server can be configured through the configs.yaml file:
verbose: True
log_level: 10
host: '0.0.0.0'
port: 8000
reload: True
load_from_paths_csv: True
Requirements
- WSL2, Linux. Window support is forthcoming.
- Python 3.12+
- mcp # for MCP server
- aiofile # for async file operations
- anthropic # for LLM API access from Anthropic
- coverage # for test coverage
- duckdb # for cross-platform database operations
- flask # for web framework
- flake8 # for linting
- httpx # for async HTTP requests
- jinja2 # for templating
- mcp # for Claude tool server API
- multiformats # for CID creation
- mypy # for type checking
- numpy # for numerical operations
- openai # for LLM api access from OpenAI
- psutil # for system and process utilities
- pydantic # for data validation and settings management
- pytest # for testing
- pyyaml # for YAML parsing
- tqdm # for progress bars
Installation
- Clone this repository:
git clone https://github.com/the-ride-never-ends/claudes_toolbox
- Run the installation script:
For Linux/MacOS:
cd claudes_toolbox
bash ./install_server.sh
For Windows:
cd claudes_toolbox cmd .\install_server.bat
- Copy-paste the respective config code into the relevant MCP config file.
For Claude Desktop for Windows, this is typically located atC:\Users\<username>\AppData\Roaming\Claude\claude_desktop_config.json.
Server hosted on WSL:
run_wsl.config
Server hosted on Linux/MacOS:
run_linux.config
Server hosted on Windows:
- Git-clone the other repositories into the
claude_toolbox/tools/clidirectory:
cd claudes_toolbox/tools
git clone https://github.com/the-ride-never-ends/documentation_generator
git clone https://github.com/the-ride-never-ends/test_generator
git clone https://github.com/the-ride-never-ends/run_tests_and_save_their_results
git clone https://github.com/the-ride-never-ends/lint_a_python_codebase
git clone https://github.com/the-ride-never-ends/codebase_search
The server will automatically activate the appropriate virtual environment for each tool when called.
Usage
Integrated applications like Copilot, Claude Code, and Claude Desktop can call the server using the MCP protocol. The server starts automatically when the given command is executed.
The server works by:
- Running tools through subprocess calls to the command line
- Using a wrapper function that activates virtual environments
- Exposing each tool with appropriate parameters via the MCP protocol
Directory Structure
mcp_server_for_claudes_toolbox/ ├── docs/ # Documentation files ├── tests/ # Test files and test cases ├── utils/ # Utility scripts ├── data/ # Data files used by the program (if any) ├── app.py # MCP server application ├── configs.py # Configurations singleton for the program ├── logger.py # Logger singleton for the program ├── TODO.md # Todo list ├── CHANGELOG.md # Changelog list ├── claude.md # Instructions to Claude in Claude Code API ├── requirements.txt # 3rd-party library requirements ├── install.sh # Set-up venv and install requirements ├── start.sh # Script to start the server └── README.md # This file
License
MIT
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.










