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An MCP tool for querying Petstore pets by status via LLM function calling.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-openapi-demo" yet — see the docs or source repo.
Use the Petstore MCP tool to find pets with status set to available and return the first 10 results including id, name, and status.
A list of pets marked as available, including key fields for quick review.
Query all pets with pending status through the MCP service and format them as a concise list.
A structured list of pending pets for follow-up or testing.
Use this MCP tool to call the pet-by-status endpoint and test whether available, pending, and sold all return results correctly.
Results or errors for all three statuses, useful for validating the API and tool setup.
Expose a pet store API as AI-callable tools for HTTP testing and integration.
Convert OpenAPI example APIs into usable MCP servers for AI clients.
Manage pets, orders, inventory, and users through a Petstore MCP server.
Turn any OpenAPI API into callable AI tools with authentication support.
Generate MCP tools from OpenAPI specs for natural-language API interaction.
Load and explore OpenAPI specs to inspect endpoints, parameters, and schemas.