quick-mcp-example

Overview

This repository provides a straightforward example of MCP server implementation with core functionality including tools for querying vector databases, resources for context provision, and prompts for standardized workflows. The implementation includes both server and client components with clear documentation on the architecture and setup process. While basic in functionality, it serves as an excellent starting point for understanding MCP protocol implementation patterns.

Try asking AI

After installing, here are 3 things you can ask your AI assistant:

• query_vector_database

  Query the ChromaDB vector database for RAG responses

  Try:Find information about machine learningTry:Search for documents about vector databases

Note: The README describes the server's functionality but doesn't explicitly list tool names. I inferred the tool name from the description of querying a vector database for RAG responses, which is mentioned as one of the core functionalities.

Comparable tools

Installation

git clone https://github.com/ALucek/quick-mcp-example.git
cd quick-mcp-example

# Using uv (recommended)
uv venv
source .venv/bin/activate  # On macOS/Linux
# OR
.venv\Scripts\activate     # On Windows

uv sync

python client.py mcp_server.py

{
  "mcpServers": {
    "quick-mcp-example": {
      "command": "python",
      "args": ["/path/to/quick-mcp-example/mcp_server.py"]
    }
  }
}

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