subwiz
MCP Serversubwizpublic

rfc mcp

Locally indexed RFCs in txt format in Qdrant connected to Claude

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Jupyter Notebook
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About This Server

Locally indexed RFCs in txt format in Qdrant connected to Claude

Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.

Documentation

RFC MCP

This is a weekend project to create a simple RAG application that stores embeddings of text documents using Qdrant, and a MCP server to query this Vector Database, and a MCP client using Claude to interact.

Steps

  1. Jupyter notebook idx_qdrant.ipynb has the Python code to index documents into Qdrant.
  2. Copy .env.example to .env and fill in the values.
  3. Run the MCP server using ./run_server.sh.
  4. In another terminal, run the MCP client using ./run_client.sh.

Quick Start

1

Clone the repository

git clone https://github.com/subwiz/rfc-mcp
2

Install dependencies

cd rfc-mcp
npm install
3

Follow the documentation

Check the repository's README.md file for specific installation and usage instructions.

Repository Details

Ownersubwiz
Reporfc-mcp
LanguageJupyter Notebook
License-
Last fetched8/10/2025

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