# mcp_sdk_petstore_api

> Use this tool when you need to interact with petstore management services through natural language, enabling AI assistants to manage petstore data via API endpoints. It solves problems related to automated petstore management, inventory tracking, and customer service by proxying API requests via Server-Sent Events (SSE) transport. The tool accepts natural language inputs and returns relevant petstore data as outputs, ideal for use cases requiring seamless integration of AI and petstore services.

Canonical page: https://skillsregistry.net/skills/vaishnavijagan-mcp-sdk-petstore-api-v1  
JSON: https://api.skillsregistry.net/v1/skills/vaishnavijagan-mcp-sdk-petstore-api-v1

## Description

A standalone MCP server that exposes Petstore API endpoints as tools for AI assistants like Claude and ChatGPT. It enables interaction with petstore management services through natural language by proxying API requests via SSE transport.

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jjk9z20xma)
- **Repository:** <https://github.com/VaishnaviJagan/mcp_sdk_petstore_api_v1>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "vaishnavijagan-mcp-sdk-petstore-api-v1"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vaishnavijagan-mcp-sdk-petstore-api-v1` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vaishnavijagan-mcp-sdk-petstore-api-v1/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt