What are the runtime dependencies?
Node.js ≥18.0.0, Python 3.x (for AST parsing), and Git (for cloning the repository).
@osok
Basic information
this is a MCP server that create uml text based class diagrams, project tree structure and a list of modules anf functions in the project to assist cursor in understanding the project.
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"project-docs": {
"command": "node",
"args": [
"bin/server.js"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
MCP Docs Tools is a Node.js-based MCP tool server that provides three focused documentation generation tools for Python projects. It integrates with AI assistants via the Model Context Protocol and works out of the box with zero configuration.
Install by cloning the repository and running npm install, or install globally with npm install -g git+https://github.com/your-username/mcp-docs-tools.git. Start the server with mcp-docs-tools or npm start to expose three tools via MCP. Configure as an MCP server in Cursor IDE or Claude Desktop using the provided JSON config snippets.
docs/Node.js ≥18.0.0, Python 3.x (for AST parsing), and Git (for cloning the repository).
Clone the repository: `git clone https://github.com/your-username/mcp-docs-tools.git`, then `cd mcp-docs-tools && npm install`. Optionally install globally with `npm install -g .` or directly from GitHub with `npm install -g git+...`.
Add an MCP server entry to your configuration. Use the command `node /path/to/mcp-docs-tools/bin/server.js` (if cloned) or just `mcp-docs-tools` (if installed globally). See the README for JSON examples.
All tools output files inside a `docs/` directory in the analyzed project: `docs/uml.txt`, `docs/tree-structure.txt`, and `docs/module-functions.txt`.
The tools include comprehensive error handling. Python process failures yield detailed error messages with stdout/stderr, and missing dependencies or invalid paths produce clear instructions.

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