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Animal Data
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Documentation & install
Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.
You can run a simple MCP server that serves static animal data (cats, dogs, and birds) and connect it to an MCP client such as Claude Desktop. This guide walks you through using both a local stdio MCP server and a remote HTTP MCP deployment, plus how to configure the client to access the tools you need.
How to use
Set up and run the local MCP server, then connect your MCP client to it. You will be able to query three data tools: one for cats, one for dogs, and one for birds. Use the client to invoke the tools and receive concise, informative responses about each animal type.
How to install
Prerequisites: Python 3, a virtual environment tool (venv is included with Python), and internet access to install dependencies.
Step 1: Create and activate a virtual environment.
python3 -m venv venv
source venv/bin/activate
Step 2: Install dependencies from the requirements file.
pip install -r requirements.txt
Step 3: Run the local MCP server.
source venv/bin/activate
python server.py
Configuration and usage notes
The MCP server exposes three data tools that you can call from your MCP client. If you want to use the HTTP version for remote deployment, you will also have a separate HTTP server workflow as described below.
Additional sections
Claude Desktop configuration helps your client locate and use the MCP server. You can place a configuration entry that points the client to either the local stdio server or the remote HTTP server, depending on your deployment choice.
Available tools
get_cat_info
Returns information about cats such as temperament, common traits, and care tips.
get_dog_info
Returns information about dogs including breed traits, exercise needs, and companionship qualities.
get_bird_info
Returns information about birds including flight ability, diet, and nesting behaviors.