mcp-ragdocs

mcp-ragdocs

RagVectorDatabaseLlmMcpDocumentationSearchAiTypescriptJavascriptPythonGoRubyR

About This Server

An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context.

Server Information

šŸ“‹ Overview:

This webpage is a GitHub repository page for "mcp-ragdocs," a project by hannesrudolph. It's described as an MCP server implementation that provides tools for retrieving and processing documentation using vector search. This enables AI assistants to use relevant documentation context in their responses. The repository is a public fork of qpd-v/mcp-ragdocs.


ā­ Key Points:
* Provides tools for documentation retrieval and processing via vector search.
* Aims to enhance AI assistants' responses with documentation context.
* Offers tools like search\documentation, list\sources, extract\urls, remove\documentation, list\queue, run\queue and clear\_queue.
* Includes instructions for configuring the server with Claude Desktop.

* Licensed under the MIT License.


šŸ” Main Findings:
* The primary goal of the project is to create an MCP server implementation.
* The server helps in augmenting AI responses with context from documentation.

* Key features include vector-based search, support for multiple documentation sources, semantic search, automated processing, and real-time context augmentation for LLMs.


šŸ“Š Details:
* The project utilizes technologies such as TypeScript and JavaScript.
* It requires environment variables for OpenAI API key, Qdrant URL, and Qdrant API key.

* The repository has 68 stars and 17 forks.


šŸŽÆ Conclusion:
The mcp-ragdocs repository is a tool designed to enhance AI systems by providing relevant documentation context through vector search and processing. It is intended for use in building documentation-aware AI assistants and implementing semantic documentation search and is licensed under the MIT license.

Server Features

search_documentation

Search through stored documentation using natural language queries. Returns matching excerpts with context, ranked by relevance.

list_sources

List all documentation sources currently stored in the system. Returns a comprehensive list of all indexed documentation including source URLs, titles, and last update times.

extract_urls

Extract and analyze all URLs from a given web page. This tool crawls the specified webpage, identifies all hyperlinks, and optionally adds them to the processing queue.

remove_documentation

Remove specific documentation sources from the system by their URLs. The removal is permanent and will affect future search results.

list_queue

List all URLs currently waiting in the documentation processing queue. Shows pending documentation sources that will be processed when run_queue is called.

run_queue

Process and index all URLs currently in the documentation queue. Each URL is processed sequentially, with proper error handling and retry logic.

clear_queue

Remove all pending URLs from the documentation processing queue. Use this to reset the queue when you want to start fresh, remove unwanted URLs, or cancel pending processing.

Provider Information

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Hannesrudolph

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MCP Configuration

Available Tools

search_documentationlist_sourcesextract_urlsremove_documentationlist_queuerun_queueclear_queue