d33bs
MCP Serverd33bspublic

duck_goose

Experiment with model context protocol (MCP)

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Jupyter Notebook
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BSD 3-Clause "New" or "Revised" License
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About This Server

Experiment with model context protocol (MCP)

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

duck_goose

An experiment with model context protocol (MCP).

Requirements

  1. Install uv (environment management for Python)
  2. Install ollama (e.g. brew install ollama) (model management and server for llm model)
  3. See below for instructions.

Demonstrations goal

The goal of all demonstrations here involves asking an LLM to create a database and single table with records "duck", "duck", "goose". We ask the LLM to perform this work using MCP or local Tools. This allows the LLM to agentically achieve this work without specifying explicit programmatic instructions to accomplish this work.

Running the demonstrations

We use poethepoet to create declarative tasks which run the demonstrations found here. You may list these by using uv run poe. Run these demo by using uv run poe <task name>.

The following tasks exist:

  • uv run poe local_tool_demo: Run a local tool-based LLM example.
  • uv run poe mcp_demo: Run an mcp-based tool LLM example.

Quick Start

1

Clone the repository

git clone https://github.com/d33bs/duck_goose
2

Install dependencies

cd duck_goose
npm install
3

Follow the documentation

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

Repository Details

Ownerd33bs
Repoduck_goose
LanguageJupyter Notebook
LicenseBSD 3-Clause "New" or "Revised" License
Last fetched8/10/2025

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