In this tutorial, you will learn how to build a full-featured Retrieval-Augmented Generation (RAG) server using IBM Watsonx.ai, ChromaDB for vector indexing, and expose it via the Model Context…
Building a Watsonx.ai Chatbot RAG Server with MCP is an MCP project maintained in the ruslanmv/watsonx-rag-mcp-server repository. The maintainer describes its purpose as “In this tutorial, you will learn how to build a full-featured Retrieval-Augmented Generation (RAG) server using IBM Watsonx.ai, ChromaDB for vector indexing, and expose it…”. Read the project documentation for the complete scope.
The project provides a local client configuration using wsl. Follow the repository’s build and installation steps before copying it, and replace example paths with the paths on your own computer.
Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| chat_with_manual |
{
"mcpServers": {
"rag_chatbot": {
"command": "wsl",
"args": [
"bash",
"-c",
"cd /mnt/c/blog/watsonx-rag-mcp-server && source .venv/bin/activate && python3 server.py"
],
"workingDirectory": "/mnt/c/blog/watsonx-rag-mcp-server"
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
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