About docs-to-mcp-cli
docs-to-mcp-cli is a command-line utility that generates a runnable MCP server from Markdown documentation. It is for teams that want MCP-compatible assistants to browse, search, and retrieve their documentation through dedicated tools.
Key features
- 01Generate a self-contained MCP server
- 02Select Markdown files with glob patterns
- 03List documents with content previews
- 04Retrieve full document content by path
- 05Search documents with fuzzy matching
Use cases
- 01Make project documentation accessible to MCP assistants
- 02Generate a documentation server from selected Markdown files
MCP support
The CLI generates an MCP server exposing Markdown documents through list_docs, get_doc, and search_docs tools. MCP-compatible assistants can connect to the running server to browse, retrieve, and search documentation.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEdocs-to-mcp-cli
A CLI tool that generates a self-contained, runnable MCP (Model Context Protocol) server that exposes markdown documentation via specific tools.
What is MCP?
The Model Context Protocol (MCP) is an open standard that enables AI assistants to access external tools and data sources. By converting your documentation to an MCP server, you allow AI assistants to:
- Browse through your documentation
- Search for specific information
- Access the full content of any document
- Use your documentation to provide more accurate and contextual responses
Installation
You can install the tool globally:
npm install -g @tiberriver256/docs-to-mcp-cli
Or use it directly with npx:
npx @tiberriver256/docs-to-mcp-cli --docs "path/to/docs/**/*.md" --packageName MyDocsServer
Usage
docs-to-mcp-cli --docs <pattern> --packageName <n> [--outDir <dir>] [--toolName <name>]
Options
-d, --docs <pattern>: Glob pattern for markdown files (required)-p, --packageName <n>: Name for the generated MCP server (required)-o, --outDir <dir>: Output directory for the bundled server (default: "dist")-t, --toolName <name>: Name of the tool/package/library being documented (used in tool descriptions)-v, --version: Output the current version
Examples
# Generate a server from all markdown files in the docs directory
docs-to-mcp-cli --docs "docs/**/*.md" --packageName ProjectDocs
# Specify a custom tool name and output directory
docs-to-mcp-cli --docs "documentation/**/*.md" --packageName APIDocsServer --toolName "My API" --outDir build
# Run the generated server
node dist/index.js
Generated Server Tools
The generated MCP server provides the following tools to AI assistants:
list_docs: Lists all available documents with a preview of their contentget_doc: Gets the full content of a specific document by its pathsearch_docs: Searches across all documents using fuzzy matching
Integration with AI Assistants
Once your MCP server is running, AI assistants that support the Model Context Protocol can connect to it and access your documentation. This enables the AI to provide more accurate and contextual responses based on your specific documentation.
Development
To build the CLI tool locally:
# Clone the repository
git clone https://github.com/Tiberriver256/docs-to-mcp-cli.git
cd docs-to-mcp-cli
# Install dependencies
npm install
# Build the project
npm run build
# Link for local development
npm link
Current Version
The current version is 1.1.2. See the CHANGELOG.md for details on recent updates.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.