Simple Animal Data MCP Server

Simple Animal Data MCP Server is an MCP server that provides static information about domestic animals and wildlife, specifically cats, dogs, and birds. Built using Python and the FastMCP framework, the server connects Model Context Protocol clients directly to a local or remote script serving animal facts. Developers, students, and practitioners learning how to build and integrate MCP servers use it as a reference implementation for testing tool execution. It enables host applications like Claude Desktop to call predefined functions, fetch descriptive text about selected species, and synthesize comparisons across multiple animal categories without querying external APIs. By offering both standard input/output and HTTP transport implementations, the project serves as a lightweight testing environment for validating MCP client setups, verifying custom configuration files, and exploring how language models use discrete tools to answer user queries.

Category: Other & General Purpose

Tags: animals, data, reference

Visit Simple Animal Data MCP Server

How to install and configure Simple Animal Data MCP Server

1. Clone or download the project from the repository: https://github.com/huitmj/mcp-simple 2. Create a virtual environment and install dependencies: bash python3 -m venv venv source venv/bin/activate pip install -r requirements.txt 3. Open your Claude Desktop configuration file (claude_desktop_config.json) and add the server definition under mcpServers: json { "mcpServers": { "animal-data": { "command": "python", "args": ["/path/to/server.py"], "cwd": "/path/to/project", "env": { "PATH": "/path/to/venv/bin:/usr/bin:/bin" } } } } 4. Update the paths to match your local installation directory and restart Claude Desktop.

What you can do with Simple Animal Data MCP Server

• Querying preconfigured cat facts within Claude Desktop to answer basic educational inquiries regarding feline traits. - Fetching structured details about dog characteristics to assist language models in producing companion animal descriptions. - Retrieving specific reference data on birds to describe avian flight, singing habits, and typical nesting behaviors. - Prompting the language model to compare cats, dogs, and birds by executing all three tools sequentially. - Verifying MCP client functionality and tool resolution using a lightweight, minimal Python server without external API dependencies.

Key facts

• https://github.com/huitmj/mcp-simple
• Other & General Purpose
• animals, data, reference

Part of MCP Servers

How do I install Simple Animal Data MCP Server?

You install it by cloning the repository, creating a Python virtual environment, and running pip install -r requirements.txt. You then register the server in your Claude Desktop configuration file by specifying python as the command along with the path to server.py.

What can Simple Animal Data MCP Server do?

The server provides three distinct tools to MCP clients: get_cat_info, get_dog_info, and get_bird_info. Each tool returns static text describing characteristics, behaviors, and traits of the respective animal, allowing conversational assistants to answer queries or run comparisons.

Which MCP clients work with Simple Animal Data MCP Server?

It is designed to work with Claude Desktop via standard input/output transport. It also includes an HTTP server version that listens on port 8000, allowing it to interface with clients configured to send MCP requests over HTTP.

Can I run Simple Animal Data MCP Server remotely?

Yes. The repository includes an http_server.py file and a requirements-http.txt file. Running this setup starts an HTTP server at localhost:8000 that handles MCP POST requests, which can be deployed to remote servers or containerized using Docker.