Petstore MCP Server & Client is an MCP server that integrates the standard Swagger Petstore API with AI development environments and automation agents. It provides a bridge between Model Context Protocol clients and the OpenAPI 3.0 endpoints of the Swagger Petstore service. Designed for AI developers, tool testers, and software engineers, this tool enables users to experiment with e-commerce and REST API patterns via natural language interfaces. The implementation exposes 19 distinct tools structured across pet catalog management, store order fulfillment, and user account workflows. Developers can use it to query pet inventories by availability status, update pet metadata, process new customer orders, and manage authentication or profile updates directly within an LLM workflow. Additionally, it ships with a Python client architecture containing prompt templates, model sampling configurations, and an agent interface for executing multi-step programmatic tasks against standard REST endpoints without writing manual HTTP requests.
Category: CRM, ERP & E-commerce
Tags: ecommerce, openapi, rest, swagger
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bash pip3 install -r requirements.txt 2. Make the server script executable or run the setup script: bash chmod +x petstore-mcp-server.py # or run bash setup.sh 3. Add the server to your MCP client configuration (such as Amazon Q CLI or other client configurations): json { "mcpServers": { "petstore": { "command": "python3", "args": ["petstore-mcp-server.py"], "cwd": "/path/to/petstore", "env": {} } } } 4. If using client-side utilities and workflows, install client dependencies: bash pip3 install -r client_requirements.txtPart of MCP Servers
Petstore MCP Server & Client is a reference Model Context Protocol server and companion client system that exposes the Swagger Petstore API. It offers 19 distinct tools allowing AI assistants to perform store operations, manage pet inventory, and handle user accounts.
Clone the repository and install dependencies using pip with the provided requirements.txt file. You can configure it inside your MCP configuration JSON by targeting python3 with the petstore-mcp-server.py script, or execute it directly with the Amazon Q CLI.
It is documented for direct execution and works with the Amazon Q CLI via standard command-line flags. Because it implements the standard Model Context Protocol transport layer, it is also compatible with clients supporting local stdio MCP server configurations.
Yes, Petstore MCP Server & Client is an open source project available on GitHub under the repository raghavendraprakash/mcpforrestapis.