mcp_server_for_claudes_toolbox
@the-ride-never-ends
About mcp_server_for_claudes_toolbox
A server application that exposes CLI programs and functions via the Model Context Protocol (MCP), making them accessible to AI assistants through different interfaces (Claude Code, Claude Desktop, Copilot, etc.).
Basic information
Config
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
RepositoryTools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is mCP_Server_For_Claudes_Toolbox?
mCP_Server_For_Claudes_Toolbox is 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 interfaces such as Claude Code, Claude Desktop, and Copilot. It is authored by Claude 3.7 Sonnet and Kyle Rose, version 0.2.0.
How to use mCP_Server_For_Claudes_Toolbox?
Clone the repository, run the installation script (install_server.sh on Linux/MacOS or install_server.bat on Windows), then copy the appropriate platform‑specific MCP config code into the relevant MCP configuration file (e.g., claude_desktop_config.json for Claude Desktop on Windows). Optionally, clone the individual CLI tool repositories into the claude_toolbox/tools/cli directory. Integrated applications call the server via the MCP protocol; the server starts automatically when the configured command is executed.
Key features of mCP_Server_For_Claudes_Toolbox
- Arbitrary function registration and invocation – add functions to
tools/functions - Exposes CLI tools: test_generator, documentation_generator, lint_a_python_codebase, run_tests_and_save_their_results, codebase_search
- Each CLI tool can have its own virtual environment
- Customizable server settings via
configs.yaml(verbosity, log level, host, port, reload) - Cross‑platform support for WSL2, Linux/MacOS, and Windows
Use cases of mCP_Server_For_Claudes_Toolbox
- Generate unittest test files from JSON specifications
- Create markdown documentation from Python source code
- Fix common linting issues (blank lines, trailing spaces, newlines) in Python files
- Run unit tests, type checking, and linting for Python projects and save results as JSON and Markdown
- Search codebases with pattern matching
FAQ from mCP_Server_For_Claudes_Toolbox
How do I add a new tool to mCP_Server_For_Claudes_Toolbox?
Just add a function to the tools/functions folder, name the file after the function, and it will be available for use.
What are the system requirements for mCP_Server_For_Claudes_Toolbox?
Python 3.12+ is required, along with the dependencies listed in the installation (mcp, aiofile, anthropic, flask, duckdb, etc.). Currently WSL2 and Linux are supported; Windows support is forthcoming.
Where is the server configured?
Customizable settings like verbosity, log level, host, port, and reload options are stored in the configs.yaml file.
How does the server work under the hood?
The server runs tools through subprocess calls to the command line, using a wrapper function that activates the appropriate virtual environment for each tool. Each tool is exposed with its parameters via the MCP protocol.
How do I connect the server to Claude Desktop or Copilot?
Copy the platform‑specific JSON configuration block (e.g., for WSL, Linux, or Windows) into the relevant MCP config file. For Claude Desktop on Windows, the file is typically at C:\Users\<username>\AppData\Roaming\Claude\claude_desktop_config.json.
More Developer Tools MCP servers
OpenSumi
opensumiA framework helps you quickly build AI Native IDE products. MCP Client, supports Model Context Protocol (MCP) tools via MCP server.
Hello World MCP Server (Reference Extension)
anthropicsDesktop Extensions: One-click local MCP server installation in desktop apps
nuxt-mcp / vite-plugin-mcp
antfuMCP server helping models to understand your Vite/Nuxt app better.
test
prysmaticlabsGo implementation of Ethereum proof of stake
MCP Containers
metorialConnect any AI model to 1200+ integrations (MCP, CLI, API)
Comments