Mkdocs MCP
An experimental MkDocs plugin for integrating the MCP server into the MkDocs workflow to provide documentation content access functionality.
rating : 2.5 points
downloads : 6.6K
What is mkdocs-mcp?
mkdocs-mcp is an innovative plugin that serves as a bridge between MkDocs documentation projects and AI assistants. Through the Model Context Protocol (MCP), it allows AI assistants like Claude to directly access your MkDocs documentation content, enabling them to answer questions about the documentation, find specific information, or assist with documentation maintenance.How to use mkdocs-mcp?
Using mkdocs-mcp is very simple: First, install the plugin and configure your mkdocs.yml file. Then, run the dedicated mkdocs-mcp command to start the MCP server. Finally, configure the connection in AI tools such as Claude Desktop.Use cases
mkdocs-mcp is particularly suitable for the following scenarios: 1. Technical documentation teams that want AI assistants to help answer documentation-related questions. 2. Developers who want to quickly find API documentation through AI. 3. Project maintainers who need AI assistance to update and maintain documentation. 4. Educational institutions that want students to query learning materials through AI.Main features
Documentation content integration
Seamlessly integrate the content of MkDocs documentation projects into the MCP protocol, allowing AI assistants to access the entire documentation library.
Flexible naming style
Supports three naming styles: based on source file (src_file), based on destination URL (dst_url), or based on title, meeting different organizational needs.
Content format control
You can choose to use the original Markdown or the converted HTML content to balance readability and format integrity.
Content aggregation options
Supports aggregating content by folder or merging all pages into a single file to meet different query needs.
Cross-platform support
Provides configuration examples for Windows Subsystem for Linux (WSL), supporting use in various development environments.
Advantages
Seamless integration: Easily convert existing MkDocs documentation projects into AI-accessible resources.
Flexible configuration: Provides various content processing and naming options to meet different project needs.
Developer-friendly: Includes development and debugging tools for easy problem troubleshooting and feature expansion.
Community-driven: As an open-source project, it encourages contributions and feedback for continuous improvement.
Limitations
Proof-of-concept stage: Currently in the early development stage, and the functionality may not be fully developed.
MkDocs limitations: Cannot directly override the mkdocs serve command and requires a dedicated script.
Configuration complexity: Requires configuring both MkDocs and Claude Desktop, which has a certain learning curve for beginners.
Dependency on specific tools: Requires uv for dependency management, which may not be suitable for all workflows.
How to use
Installation preparation
Ensure that the uv dependency management tool is installed, which is the recommended dependency management method for the project.
Configure MkDocs
Add the mcp plugin configuration to your mkdocs.yml configuration file.
Start the MCP server
Use the dedicated command to start the MCP server. You can specify the project path through environment variables or parameters.
Configure the AI client
Configure the server connection in AI tools that support MCP, such as Claude Desktop.
Usage examples
Quickly find API documentation
When you need to quickly find the usage method of an API endpoint, you can directly ask the AI assistant, and it will find relevant information from your MkDocs documentation.
Documentation content summary
When you need to know the coverage of a certain topic in the entire documentation, you can let the AI assistant summarize the relevant content.
Configuration problem troubleshooting
When encountering configuration problems, you can let the AI assistant help find relevant configuration instructions and examples.
Frequently asked questions
What is the difference between mkdocs-mcp and the ordinary mkdocs serve?
Do I need to modify my existing MkDocs project to use this plugin?
Will this plugin affect the building or deployment of the documentation?
Which AI tools or clients are supported?
Do I need to restart the MCP server after updating the documentation?
Related resources
GitHub project repository
The project's source code and latest version
MCP official documentation
The official documentation and specifications of the Model Context Protocol
MkDocs official documentation
The official documentation of the MkDocs static site generator
uv tool documentation
The Python package management and project management tool used by the project

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