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Expose a pet store API as AI-callable tools for HTTP testing and integration.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp_sdk_Deployed_spec_pet" yet — see the docs or source repo.
Use the pet store MCP tool to fetch details for pet ID 123, then summarize its name, status, category, and tags in a table.
Structured pet details presented in a clear, readable table.
Use the pet store MCP tool to create a new pet record named "Xiaobai" with status "available" and category "dog", then return the creation result.
A successful creation response with the new record ID and key fields.
Use the pet store MCP tool to demonstrate a full workflow: create a pet record, retrieve it, then update its status to sold, and summarize each step.
A complete API workflow summary showing whether create, read, and update steps succeeded.
An MCP tool for querying Petstore pets by status via LLM function calling.
Convert OpenAPI example APIs into usable MCP servers for AI clients.
Use the Swagger Petstore API as an MCP tool for testing and prototyping.
Turn any OpenAPI API into callable AI tools with authentication support.
Expose OpenAPI endpoints as MCP tools for LLM-driven REST API access.
Turn any OpenAPI spec into a working MCP server.