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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.
Turn any OpenAPI API into callable AI tools with authentication support.
Expose OpenAPI endpoints as MCP tools for LLM-driven REST API access.
Load and explore OpenAPI specs to inspect endpoints, parameters, and schemas.
Demo MCP server for calculations, time checks, notes, and code review prompts.