MCP.so
Sign In

AI Chat Application with RAG and MCP Servers

@garrardkitchen

Repository

About AI Chat Application with RAG and MCP Servers

An .NET Aspire AI chat application that demonstrates how to chat with custom data (RAG - Event Driven) and context extensions (MCP Server) using an AI language model. .NET Aspire, RAG, Qdrant and MCP Server returning GitLab Groups based on search pattern

#serverless#rag#chat-ai#dotnet-aspire#mcp-server

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "ai-chat-example": {
      "command": "npx",
      "args": [
        "@modelcontextprotocol/inspector",
        "dotnet",
        "run"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is AI Chat Application with RAG and MCP Servers?

A .NET Aspire chat application that demonstrates chatting with custom data using event-driven RAG and MCP Server context extensions. It integrates AI language models with Qdrant as the vector store and supports GitHub Models and OpenAI endpoints. Designed for developers exploring AI chat, RAG patterns, and MCP tool integration in .NET.

How to use AI Chat Application with RAG and MCP Servers?

Clone the repository, restore dependencies, and configure user secrets for your chosen AI provider (GitHubModels:Token or ConnectionStrings:openai) and optionally for the GitLab tools (GitLab:Token, GitLab:domain). Run the application from Visual Studio or Visual Studio Code using the provided solution file.

Key features of AI Chat Application with RAG and MCP Servers

  • Chat with custom data via RAG and MCP Server tools.
  • Supports GitHub Models and OpenAI as AI providers.
  • Includes MCP WhoIs and GitLab SearchGroups tools.
  • Upload PDFs to use as context for the AI model.
  • Dynamically create PDFs from markdown content.
  • Uses Qdrant as vector store for event-driven RAG.

Use cases of AI Chat Application with RAG and MCP Servers

  • Query an AI model about uploaded PDF documents

Comments

Basic information

Category

AI & Agents

Transports

stdio

Author

garrardkitchen

More AI & Agents MCP servers

MCP-NixOS - Because Your AI Assistant Shouldn't Hallucinate About Packages

utensils

MCP-NixOS - Model Context Protocol Server for NixOS resources

739

Unreal Engine Generative AI Support Plugin

prajwalshettydev

Unreal Engine plugin for LLM/GenAI models & MCP UE5 server. OpenAI GPT-5, Deepseek R1, Claude Opus/Sonnet, Gemini 3, Grok 4, Alibaba Qwen, Kimi, ElevenLabs TTS, Inworld, OpenRouter, Groq, GLM, Ollama, Local, Meshy, Tripo, Hunyuan3D, Rodin, fal, Dashscope, Seedream. NPC AI, agenti

622

MCP-LLM Bridge

patruff

Bridge between Ollama and MCP servers, enabling local LLMs to use Model Context Protocol tools

976

Sequential Thinking Multi-Agent System (MAS)

FradSer

An advanced sequential thinking process using a Multi-Agent System (MAS) built with the Agno framework and served via MCP.

306

LinkedIn MCP Server

stickerdaniel

Open-source MCP server for LinkedIn. Give Claude and any MCP-compatible AI agent access to profiles, companies, jobs, and messages.

2.7K