Docs2prompt
An MCP server that converts documentation into LLM-friendly prompts
rating : 2 points
downloads : 9
What is the docs2prompt MCP server?
The docs2prompt MCP server is a tool based on the Model Context Protocol (MCP). It can extract documentation content from GitHub repositories or dedicated websites and convert it into prompts suitable for use with large language models (LLMs).How to use the docs2prompt MCP server?
First, you need to install the UV tool. Then, clone this repository and configure the client. Finally, run the server by specifying the path to start using it.Use cases
Suitable for enterprises and individual developers who need to extract information from technical documentation and generate high-quality LLM prompts.Main Features
Support for GitHub documentation extractionIt can automatically fetch documentation content from GitHub repositories and perform preprocessing.
Generate LLM-friendly promptsGenerate structured prompts based on the extracted documentation content for subsequent model training or inference tasks.
Multi-client compatibilitySupports multiple MCP clients (such as Cursor, Claude, etc.) for easy integration into existing workflows.
Advantages and Limitations
Advantages
Quickly generate high-quality prompts
Support multiple documentation sources
Easy to integrate with other MCP clients
Limitations
Depends on a GitHub access token
Requires a certain network environment
How to Use
Install the UV tool
Ensure that the UV tool is installed on the system. It can be quickly installed via the official script.
Clone the repository
Clone the code repository of the docs2prompt MCP server from GitHub.
Configure the client
Add the server address and relevant environment variables to the MCP client configuration.
Usage Examples
Extract GitHub documentation to generate promptsExtract documentation from a specific GitHub repository and generate prompts.
Frequently Asked Questions
How to obtain a GitHub access token?
What should I do if the server fails to run?
Related Resources
docs2prompt GitHub repository
View the project source code and documentation.
Model Context Protocol official website
Learn about the details of the MCP protocol.
UV tool installation guide
Learn how to install the UV tool.
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