# Tennis Warehouse MCP Server

> Use this tool when you need to access Tennis Warehouse product data securely, enabling searches, availability checks, and deal discovery through natural language queries. It solves problems related to product research, inventory management, and price comparison, providing users with relevant product information while protecting internal API details. Ideal for use cases requiring secure and intuitive access to tennis equipment data, such as e-commerce, customer service, or market research applications.

Canonical page: https://skillsregistry.net/skills/avimunk1-tennis-warehouse-mcp  
JSON: https://api.skillsregistry.net/v1/skills/avimunk1-tennis-warehouse-mcp

## Description

Provides secure access to Tennis Warehouse product data, enabling users to search for tennis equipment (racquets, bags, shoes), check product availability, find deals, and browse categories through natural language queries while protecting internal API details.

## Trust

- **Trust score (0–1):** 0.99
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b1zrx5ycyr)
- **Repository:** <https://github.com/avimunk1/tennis-warehouse-mcp>

## 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": "avimunk1-tennis-warehouse-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/avimunk1-tennis-warehouse-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/avimunk1-tennis-warehouse-mcp/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