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LLM-MCP-RAG-JS
by sunpcm
TypeScript MCP server implementing Retrieval-Augmented Generation (RAG) for enhanced LLM knowledge retrieval.
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Works in:claude
Exposes:Tools
What it does
LLM-MCP-RAG-JS is a TypeScript-based MCP server that implements a complete RAG (Retrieval-Augmented Generation) pipeline. It allows an AI assistant to fetch specific knowledge from local documents, augment the prompt with relevant context, and generate accurate responses based on that data.
Tools
load_documents: Loads and vectorizes documents from a specified directory.retrieve_context: Performs similarity searches to find the most relevant document snippets for a given query.process_query: Coordinates the retrieval and generation process to provide a context-aware answer.
Installation
Add the following to your claude_desktop_config.json:
{
"mcpServers": {
"llm-mcp-rag-js": {
"command": "node",
"args": ["/path/to/openai-llm-mcp-rag-js/dist/index.js"],
"env": {
"OPENAI_API_KEY": "your_api_key",
"OPENAI_BASE_URL": "https://api.openai.com/v1",
"EMBEDDING_BASE_URL": "https://api.openai.com/v1",
"EMBEDDING_KEY": "your_embedding_key"
}
}
}
}
Supported hosts
- claude
Quick install
pnpm install && pnpm buildInformation
- Pricing
- free
- Published
- 5/2/2026
- stars
